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Announcing Elastic’s piped query language, ES|QL | Elastic Blog
<!DOCTYPE html><html lang="en-us"><head><meta charSet="utf-8"/><title>Announcing Elastic’s piped query language, ES|QL | Elastic Blog</title><link rel="apple-touch-icon" sizes="57x57" href="/apple-icon-57x57.png"/><link rel="apple-touch-icon" sizes="60x60" href="/apple-icon-60x60.png"/><link rel="apple-touch-icon" sizes="72x72" href="/apple-icon-72x72.png"/><link rel="apple-touch-icon" sizes="76x76" href="/apple-icon-76x76.png"/><link rel="apple-touch-icon" sizes="114x114" href="/apple-icon-114x114.png"/><link rel="apple-touch-icon" sizes="120x120" href="/apple-icon-120x120.png"/><link rel="apple-touch-icon" sizes="144x144" href="/apple-icon-144x144.png"/><link rel="apple-touch-icon" sizes="152x152" href="/apple-icon-152x152.png"/><link rel="apple-touch-icon" sizes="180x180" href="/apple-icon-180x180.png"/><link rel="apple-touch-icon" sizes="192x192" href="/apple-icon-192x192.png"/><link rel="icon" type="image/png" href="/favicon-32x32.png" sizes="32x32"/><link rel="shortcut icon" href="/favicon.ico" type="image/x-icon"/><link rel="icon" href="/favicon.ico" type="image/x-icon"/><link rel="apple-touch-icon-precomposed" sizes="64x64" href="/favicon_64x64_16bit.png"/><link rel="apple-touch-icon-precomposed" sizes="32x32" href="/favicon_32x32.png"/><link rel="apple-touch-icon-precomposed" sizes="16x16" href="/favicon_16x16.png"/><meta name="application-name" content="Elastic"/><link rel="icon" type="image/png" href="/android-chrome-192x192.png" sizes="192x192"/><link rel="icon" type="image/png" href="/favicon-96x96.png" sizes="96x96"/><link rel="icon" type="image/png" href="/favicon-16x16.png" sizes="16x16"/><link rel="icon" type="image/png" href="/favicon-48x48.png" sizes="48x48"/><link rel="manifest" href="/manifest.json" crossorigin="use-credentials"/><meta name="msapplication-TileColor" content="#ffffff"/><meta name="localized" content="true"/><meta name="msapplication-TileImage" content="/mstile-144x144.png"/><meta name="description" content="Introducing ES|QL: Elastic's piped query language. 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.mktoCheckboxList>label{font-size:14px;margin-bottom:8px;margin-left:32px;min-height:25px;margin-top:-2px;}#marketo-fe-form .mktoForm .mktoFieldWrap .mktoHtmlText{width:100% !important;}#marketo-fe-form .mktoForm .mktoFieldWrap .mktoGutter.mktoHasWidth{display:none;}#marketo-fe-form .mktoForm .mktoFieldWrap .mktoError{left:0;right:unset !important;bottom:unset !important;position:relative !important;z-index:0;}#marketo-fe-form .mktoForm .mktoFieldWrap .mktoError .mktoErrorArrowWrap{display:none;}#marketo-fe-form .mktoForm .mktoFieldWrap .mktoError .mktoErrorMsg{background-image:none !important;background-color:transparent !important;border:none !important;max-width:unset !important;box-shadow:none !important;text-shadow:none !important;color:var(--color-dark-orange) !important;font-size:14px !important;line-height:24px !important;margin-top:4px !important;padding-left:0;clear:both;}#marketo-fe-form .mktoForm .mktoFieldWrap .mktoError .mktoErrorMsg .mktoErrorDetail{display:inline 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form.fallback{position:relative;text-align:left;max-width:100%;}#fallback-form form.fallback .input-wrapper input{width:100%;outline:none;}#fallback-form form.fallback .input-wrapper input[type=text],#fallback-form form.fallback .input-wrapper input[type=email],#fallback-form form.fallback .input-wrapper input[type=number],#fallback-form form.fallback .input-wrapper input[type=tel],#fallback-form form.fallback .input-wrapper input[type=url],#fallback-form form.fallback .input-wrapper select{width:100% !important;color:var(--color-ink);height:50px;max-height:50px;line-height:40px !important;min-width:190px;padding-left:8px !important;padding-right:8px !important;font-size:14px;font-weight:400;border-radius:0;border:1px solid var(--color-dark-gray);}#fallback-form form.fallback .input-wrapper input[type=text]:focus,#fallback-form form.fallback .input-wrapper input[type=email]:focus,#fallback-form form.fallback .input-wrapper input[type=number]:focus,#fallback-form form.fallback 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input[type=tel].mktoInvalid:focus,#fallback-form form.fallback .input-wrapper input[type=url].mktoInvalid:focus,#fallback-form form.fallback .input-wrapper select.mktoInvalid:focus{border-bottom:2px solid var(--color-elastic-blue);}#fallback-form form.fallback .input-wrapper textarea{border:1px solid var(--color-dark-gray);height:4.5em;width:100% !important;margin-bottom:32px;}#fallback-form form.fallback .input-wrapper textarea:focus{outline:none;border-bottom:2px solid var(--color-elastic-blue);}#fallback-form form.fallback .input-wrapper textarea.mktoInvalid{border-bottom:2px solid var(--color-dark-orange);}#fallback-form form.fallback .input-wrapper textarea.mktoInvalid:focus{border-bottom:2px solid var(--color-elastic-blue);}#fallback-form form.fallback .input-wrapper input[type=checkbox]{height:auto !important;position:relative;width:16px !important;}#fallback-form form.fallback .input-wrapper 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.input-wrapper::-moz-placeholder{font-size:14px;line-height:24px;}#fallback-form form.fallback .input-wrapper:-ms-input-placeholder{font-size:14px;line-height:24px;}#fallback-form form.fallback .input-wrapper:-moz-placeholder{font-size:14px;line-height:24px;}#fallback-form form.fallback label{font-size:14px;font-weight:600;line-height:24px !important;text-align:left;width:100% !important;margin-bottom:0;margin-top:24px;}#fallback-form form.fallback .asterix{font-weight:700;color:var(--color-dark-orange);}#fallback-form form.fallback .submit-form{cursor:pointer;min-width:140px;width:max-content;padding-right:16px;padding-left:16px;-webkit-transition:all 200ms ease-in;transition:all 200ms ease-in;background-color:var(--color-elastic-blue);color:var(--color-white);height:50px;font-weight:700;text-align:center;letter-spacing:0.025em;margin:0;border:1px solid var(--color-elastic-blue);border-radius:4px;cursor:pointer;}#fallback-form form.fallback .submit-form:hover{background:var(--color-dark-blue);border-color:var(--color-dark-blue);}#fallback-form form.fallback .submit-form:active{border-color:var(--color-light-blue);}#fallback-form form.fallback .submit-form:focus{box-shadow:none;}.mkto-form-wrapper.long-form #marketo-fe-form .mktoForm .mktoFieldWrap,.marketo-form.long-form #marketo-fe-form .mktoForm .mktoFieldWrap{margin-bottom:24px;}.mkto-form-wrapper.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=text],.mkto-form-wrapper.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=email],.mkto-form-wrapper.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=number],.mkto-form-wrapper.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=tel],.mkto-form-wrapper.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=url],.marketo-form.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=text],.marketo-form.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=email],.marketo-form.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=number],.marketo-form.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=tel],.marketo-form.long-form #marketo-fe-form .mktoForm .mktoFieldWrap input[type=url]{height:40px !important;}.mkto-form-wrapper.long-form #marketo-fe-form .mktoForm .mktoFieldWrap select,.marketo-form.long-form #marketo-fe-form .mktoForm .mktoFieldWrap select{height:auto !important;}.mkto-form-wrapper.inline #marketo-fe-form{position:relative;width:100%;}.mkto-form-wrapper.inline #marketo-fe-form .mktoForm{width:100% !important;padding:0px;position:relative;display:inline-flex;}.mkto-form-wrapper.inline #marketo-fe-form .mktoForm .mktoOffset,.mkto-form-wrapper.inline #marketo-fe-form .mktoForm .mktoAsterix{display:none;}.mkto-form-wrapper.inline #marketo-fe-form .mktoForm .mktoFormCol{margin-bottom:0 !important;float:none;}.mkto-form-wrapper.inline #marketo-fe-form .mktoForm .mktoFormCol 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overview</span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div><hr class="Card_nav-divider__yt_19"/><div><p><strong>By developers, for developers</strong></p></div><ul><li><a class="Card_dropdown-link__qZWTu" href="/elasticsearch/vector-database" tabindex="-1">Try the world's most used vector database<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/blog/search-ai-lake-elastic-cloud-serverless" tabindex="-1">Scale with the low-latency Search Lake AI<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/community" tabindex="-1">Join our community<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul></div></div></div><div class="Items_Section__vJ9lm"><div class=" Card_nav-card__Gb2bd Card_icon-card__IEL2U "><div class="Card_card-header__dLhyK"><div class="Card_card-image__34JYo"><div class=" Card_icon__VSCRq "><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltdb0f38c35ae455dc/5d07f086877575d0584760a3/logo-cloud-24-color.svg" class="Card_img-fluid__EqrlH" alt=""/></div></div><h2 class="h5">Elastic Cloud</h2></div><div class="Card_card-body__81rqO"><div><p>Unlock the power of real-time insights with Elastic on your preferred cloud provider.</p></div><div class="d-flex flex-column"><a class="button Card_dropdown-link__qZWTu Card_dropdown-link__spaced___Q1m0 Card_btn-tertiary__f8UEk btn-tertiary" href="/cloud" tabindex="-1"><span class="jsx-1596590093 btn-copy">Elastic Cloud overview</span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div><hr class="Card_nav-divider__yt_19"/><ul><li><a class="Card_dropdown-link__qZWTu" href="/elasticsearch/serverless" tabindex="-1">Elastic Cloud Serverless<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/pricing/serverless-search" tabindex="-1">Elastic Cloud Serverless pricing<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/generative-ai/search-ai-lake" tabindex="-1">Search AI Lake<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul></div></div></div></div></div></div></div><div><button class="Items_navigation-items_item__7YSef navigation-item" aria-label="Solutions, press down to open menu." aria-expanded="false">Solutions<svg class="icons_icon__n3nWe" xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" viewBox="0 0 16 16"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z"></path></svg></button><div class="Dropdown_Dropdown__pUJPf "><div class="Dropdown_DropdownContent__tGePQ"><button class="Dropdown_DropdownClose__wx62b" disabled=""><span class="Dropdown_DropdownClose_text__IoOgP">Close panel</span><svg class="icons_icon__n3nWe" xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"><path fill-rule="evenodd" clip-rule="evenodd" d="M6.58586 8.00008L0.292969 14.293L1.70718 15.7072L8.00008 9.41429L14.293 15.7072L15.7072 14.293L9.41429 8.00008L15.7072 1.70718L14.293 0.292969L8.00008 6.58586L1.70718 0.292969L0.292969 1.70718L6.58586 8.00008Z"></path></svg></button><div class="Dropdown_DropdownSections__G_B5O"><div class="Items_Section__vJ9lm Items_spotlight-feature___wj__"><div class=" Card_nav-card__Gb2bd Card_ghost-card__kC3tT "><div class="Card_card-header__dLhyK"><a class="Card_custom-link__semnr" href="/generative-ai"><h2 class="h5">Generative AI</h2></a><a class="Card_custom-link__semnr" href="/generative-ai"></a><a class="Card_custom-link__semnr" href="/generative-ai"></a><a class="Card_custom-link__semnr" href="/generative-ai"></a><a class="Card_custom-link__semnr" href="/generative-ai"></a></div><div class="Card_card-body__81rqO"><div><p>Prototype and integrate with LLMs faster using search AI.</p></div><ul><li><a class="Card_dropdown-link__qZWTu" href="/generative-ai/search-ai-lake" tabindex="-1">Search AI Lake<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/elasticsearch/ai-assistant" tabindex="-1">Elastic AI Assistant<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/enterprise-search/rag" tabindex="-1">Retrieval Augmented Generation<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul><hr class="Card_nav-divider__yt_19"/><ul><li><a class="Card_dropdown-link__qZWTu" href="/blog/category/generative-ai" tabindex="-1">Generative AI blogs<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="https://www.elastic.co/search-labs/tutorials" tabindex="-1">Search Labs tutorials<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/community" tabindex="-1">Elastic Community<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul></div><div class="Card_card-footer__OfpS8"><div class="d-flex flex-column"><a class="button Card_dropdown-link__qZWTu Card_dropdown-link__spaced___Q1m0 Card_btn-tertiary__f8UEk btn-tertiary" href="/generative-ai" tabindex="-1"><span class="jsx-1596590093 btn-copy">Generative AI overview </span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div></div></div></div><div class="Items_Section__vJ9lm Items_grid-column__BSkh1"><div class=" Card_nav-card__Gb2bd Card_icon-card__IEL2U "><div class="Card_card-header__dLhyK"><a class="Card_custom-link__semnr" href="/enterprise-search"><div class="Card_card-image__34JYo"><div class=" Card_icon__VSCRq "><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt549f7d977c2a88f4/5d082d34616162aa5a85707d/logo-enterprise-search-32-color.svg" class="Card_img-fluid__EqrlH" alt=""/></div></div></a><a class="Card_custom-link__semnr" href="/enterprise-search"><h2 class="h5">Search</h2></a><a class="Card_custom-link__semnr" href="/enterprise-search"></a><a class="Card_custom-link__semnr" href="/enterprise-search"></a><a class="Card_custom-link__semnr" href="/enterprise-search"></a><a class="Card_custom-link__semnr" href="/enterprise-search"></a></div><div class="Card_card-body__81rqO"><div><p>Discover a world of AI possibilities — built with the power of search.</p></div><ul><li><a class="Card_dropdown-link__qZWTu" href="/elasticsearch/vector-database" tabindex="-1">Vector database<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/enterprise-search/relevance" tabindex="-1">Relevance<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/enterprise-search/search-applications" tabindex="-1">Search applications<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/enterprise-search/ecommerce" tabindex="-1">Ecommerce<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/enterprise-search/site-search" tabindex="-1">Website search<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/enterprise-search/workplace-search" tabindex="-1">Workplace search<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/enterprise-search/customer-support" tabindex="-1">Customer support<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul><hr class="Card_nav-divider__yt_19"/><ul><li><a class="Card_dropdown-link__qZWTu" href="https://www.elastic.co/search-labs" tabindex="-1">Search Labs<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul></div><div class="Card_card-footer__OfpS8"><div class="d-flex flex-column"><a class="button Card_dropdown-link__qZWTu Card_dropdown-link__spaced___Q1m0 Card_btn-tertiary__f8UEk btn-tertiary" href="/enterprise-search" tabindex="-1"><span class="jsx-1596590093 btn-copy">Search overview</span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div></div></div><div class=" Card_nav-card__Gb2bd Card_icon-card__IEL2U "><div class="Card_card-header__dLhyK"><a class="Card_custom-link__semnr" href="/security"><div class="Card_card-image__34JYo"><div class=" Card_icon__VSCRq "><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltf58b7c8e04706979/5e20f1a8132ead1155e8d0a4/logo-security-32-color.svg" class="Card_img-fluid__EqrlH" alt=""/></div></div></a><a class="Card_custom-link__semnr" href="/security"><h2 class="h5">Security</h2></a><a class="Card_custom-link__semnr" href="/security"></a><a class="Card_custom-link__semnr" href="/security"></a><a class="Card_custom-link__semnr" href="/security"></a><a class="Card_custom-link__semnr" href="/security"></a></div><div class="Card_card-body__81rqO"><div><p>Protect, investigate, and respond to cyber threats with AI-driven security analytics.</p></div><ul><li><a class="Card_dropdown-link__qZWTu" href="/security/siem" tabindex="-1">SIEM<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/security/ai" tabindex="-1">AI for the SOC<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/security/cyber-threat-research" tabindex="-1">Threat Research<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul><hr class="Card_nav-divider__yt_19"/><ul><li><a class="Card_dropdown-link__qZWTu" href="https://www.elastic.co/security-labs" tabindex="-1">Security Labs<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul></div><div class="Card_card-footer__OfpS8"><div class="d-flex flex-column"><a class="button Card_dropdown-link__qZWTu Card_dropdown-link__spaced___Q1m0 Card_btn-tertiary__f8UEk btn-tertiary" href="/security" tabindex="-1"><span class="jsx-1596590093 btn-copy">Security overview</span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div></div></div><div class=" Card_nav-card__Gb2bd Card_icon-card__IEL2U "><div class="Card_card-header__dLhyK"><a class="Card_custom-link__semnr" href="/observability"><div class="Card_card-image__34JYo"><div class=" Card_icon__VSCRq "><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltbf6ba0d0e0e1e5ab/5e20f19a2aa8e40a75136318/logo-observability-32-color.svg" class="Card_img-fluid__EqrlH" alt=""/></div></div></a><a class="Card_custom-link__semnr" href="/observability"><h2 class="h5">Observability</h2></a><a class="Card_custom-link__semnr" href="/observability"></a><a class="Card_custom-link__semnr" href="/observability"></a><a class="Card_custom-link__semnr" href="/observability"></a><a class="Card_custom-link__semnr" href="/observability"></a></div><div class="Card_card-body__81rqO"><div><p>Unify app and infrastructure visibility to proactively resolve issues.</p></div><ul><li><a class="Card_dropdown-link__qZWTu" href="/observability/log-monitoring" tabindex="-1">Log monitoring and analytics<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/observability/opentelemetry" tabindex="-1">OpenTelemetry<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/observability/application-performance-monitoring" tabindex="-1">Application performance monitoring<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/observability/infrastructure-monitoring" tabindex="-1">Infrastructure monitoring<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/observability/synthetic-monitoring" tabindex="-1">Synthetic monitoring<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/observability/real-user-monitoring" tabindex="-1">Real user monitoring<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/observability/universal-profiling" tabindex="-1">Universal Profiling<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/observability/aiops" tabindex="-1">AIOps<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul><hr class="Card_nav-divider__yt_19"/><ul><li><a class="Card_dropdown-link__qZWTu" href="/observability-labs" tabindex="-1">Observability Labs<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul></div><div class="Card_card-footer__OfpS8"><div class="d-flex flex-column"><a class="button Card_dropdown-link__qZWTu Card_dropdown-link__spaced___Q1m0 Card_btn-tertiary__f8UEk btn-tertiary" href="/observability" tabindex="-1"><span class="jsx-1596590093 btn-copy">Observability overview</span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div></div></div></div></div></div></div></div><div><button class="Items_navigation-items_item__7YSef navigation-item" aria-label="Customers, press down to open menu." aria-expanded="false">Customers<svg class="icons_icon__n3nWe" xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" viewBox="0 0 16 16"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z"></path></svg></button><div class="Dropdown_Dropdown__pUJPf "><div class="Dropdown_DropdownContent__tGePQ"><button 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class="Card_topic-heading___KyPp">Customer spotlight</h2></div><div><div class="Spotlight_spotlight-card__Qi_WV"><div class="Spotlight_card-image__4S6cS"><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt652fec920f2b1a14/650c1d87aa86c13fa1cc288c/logo-nav-dropdown-48x48-cisco.svg" alt="" class=""/></div><div class="Spotlight_card-body___rb9E"><p>Cisco saves 5,000 support engineer hours per month</p><a class="button Spotlight_stretched-link__2M98R btn-tertiary" href="/customers/cisco" tabindex="-1"><span class="jsx-1596590093 btn-copy">Read more</span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div></div><div class="Spotlight_spotlight-card__Qi_WV"><div class="Spotlight_card-image__4S6cS"><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blte788c0f923f209a3/668c49f5534bb913eb26e9e8/logo-dropdown-48x48-sitecore.svg" alt="" class=""/></div><div class="Spotlight_card-body___rb9E"><p>Sitecore automates 96 percent of security workflows with Elastic</p><a class="button Spotlight_stretched-link__2M98R btn-tertiary" href="/customers/sitecore-security" tabindex="-1"><span class="jsx-1596590093 btn-copy">Read more</span><svg class="icon-embed" width="27" height="15"><use href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div></div><div class="Spotlight_spotlight-card__Qi_WV"><div class="Spotlight_card-image__4S6cS"><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt90a52ed02808cbc1/650c1dadb25642d90add1e4e/logo-nav-dropdown-48x48-comcast.svg" alt="" class=""/></div><div class="Spotlight_card-body___rb9E"><p>Comcast transforms customer experiences with Elastic Observability</p><a class="button Spotlight_stretched-link__2M98R btn-tertiary" href="/customers/comcast" tabindex="-1"><span class="jsx-1596590093 btn-copy">Read more</span><svg class="icon-embed" width="27" height="15"><use 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sales<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li><li><a class="Card_dropdown-link__qZWTu" href="/support" tabindex="-1">Get support<svg width="27" height="14" viewBox="0 0 27 14" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 7H25" stroke="#0B64DD" stroke-width="2"></path><path d="M19 1L25 7L19 13" stroke="#0B64DD" stroke-width="2"></path></svg></a></li></ul></div></div></div></div></div></div></div><a class="Items_navigation-items_item__7YSef navigation-item" href="/pricing">Pricing</a><a class="Items_navigation-items_item__7YSef navigation-item" href="https://www.elastic.co/docs">Docs</a></nav></div></div></div></div></div></header><main id="main-content" role="main"><div class="jsx-2569270214 blog-post-detail"><div class="jsx-2569270214 container mt-6"><div id="sideTable" class="jsx-2569270214 row justify-content-between single-post"><aside class="jsx-2569270214 col-12 col-md-5 col-lg-3 mx-lg-auto single-post__sidebar"><h2 class="jsx-2569270214 sr-only">Table of Contents</h2><div class="jsx-2569270214 toc"><div hidden="" class="jsx-2569270214 form-wrapper"><div class="jsx-2569270214 toc-btn mb-4"><button type="button" aria-controls="table-of-contents" aria-expanded="true" class="jsx-2569270214"><span class="jsx-2569270214 toc-btn__title">Table of contents</span><img src="/static-res/images/svg/icon-toc-16-blue.svg" alt="icon-toc-16-blue.svg" class="jsx-2569270214"/></button></div></div><div id="table-of-contents" aria-hidden="false" class="jsx-2569270214 toc__table"><div class="table-of-content"><nav class="py-6 px-2"><ul><li class="mainTopic link"><a href="#from-pipe-dreams-to-reality:-announcing-elastic’s-piped-query-language,-es|ql">From pipe dreams to reality: Announcing Elastic’s piped query language, ES|QL</a></li><li class="link Topic"><a href="#evolution-in-elasticsearch">Evolution in Elasticsearch</a></li><li class="link Topic"><a href="#from-pipe-dreams-to-reality-—-introducing-es|ql">From pipe dreams to reality — Introducing ES|QL</a></li><li class="link subTopic"><a href="#streamlined-simplicity:-a-ui-tailored-for-enhanced-and-iterative-workflows-">Streamlined simplicity: A UI tailored for enhanced and iterative workflows </a></li><li class="link subTopic"><a href="#es|ql-concurrency-—-two-threads-are-better-than-one">ES|QL concurrency — Two threads are better than one</a></li><li class="link Topic"><a href="#platform-innovation-drives-elastic-solutions-benefits">Platform innovation drives Elastic solutions benefits</a></li><li class="link subTopic"><a href="#es|ql-enhances-elastic-security">ES|QL enhances Elastic Security</a></li><li class="link subTopic"><a href="#es|ql-impacts-elastic-observability">ES|QL impacts Elastic Observability</a></li><li class="link subTopic"><a href="#es|ql-advances-elastic-search">ES|QL advances Elastic Search</a></li><li class="link Topic"><a href="#embark-on-your-es|ql-journey">Embark on your ES|QL journey</a></li><li class="close-btn"><button type="button" class="button toc-close-btn">Close</button></li></ul></nav></div></div></div></aside><article class="jsx-2569270214 col-12 col-lg-8 single-post__content"><div class="jsx-2569270214 main-header-block"><div id="from-pipe-dreams-to-reality:-announcing-elastic’s-piped-query-language,-es|ql" class="jsx-2569270214 section"><div class="jsx-1955866259 title-wrapper"><h1 tag="H1" id="from-pipe-dreams-to-reality-announcing-elastics-piped-query-language-es|ql" class="jsx-1955866259 h3">From pipe dreams to reality: Announcing Elastic’s piped query language, ES|QL</h1></div></div><div class="jsx-2569270214 author-block mt-6"><div class="jsx-2569270214 author-desc d-flex"><div class="jsx-2569270214 d-flex flex-wrap mb-2"><p class="jsx-2569270214 medium">By</p><a class="author-name" href="/blog/author/george-kobar"><p class="jsx-2569270214 medium">George Kobar,</p></a><a class="author-name" href="/blog/author/bahubali-shetti"><p class="jsx-2569270214 medium">Bahubali Shetti,</p></a><a class="author-name" href="/blog/author/mark-settle"><p class="jsx-2569270214 medium">Mark Settle</p></a></div><time dateTime="1699315200000">07 November 2023</time></div></div><div class="jsx-2569270214 thumbnail-img"><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltaa08115c1a4c99d9/6543cc8c36795e040703e45e/ES_QL_blog-720x420-06.png" alt="ES_QL_blog-720x420-06.png" class="jsx-2569270214"/></div><div class="jsx-2569270214 social-media-card-author"><div class="jsx-3582162638 social-card container"><div class="jsx-3582162638 card text-center"><div class="jsx-3582162638 card-body"><ul class="jsx-3582162638 mt-2"><li class="jsx-3582162638"><a class="social-btn twitter" href="javascript:void(0)"><img src="/static-res/images/svg/blogsvgs/icon-twitter-grey.svg" alt="Twitter" class="jsx-3582162638 inactive"/><img src="/static-res/images/svg//blogsvgs/icon-twitter-white.svg" alt="Twitter" class="jsx-3582162638 active"/><span class="jsx-3582162638 sr-only">Share on Twitter</span></a><div class="jsx-3582162638 tooltips tooltip-bottom tooltip-twitter"><p class="jsx-3582162638">Share on Twitter</p></div></li><li class="jsx-3582162638"><a class="social-btn linkedin" href="javascript:void(0)"><img src="/static-res/images/svg/blogsvgs/icon-linkedIn-grey.svg" alt="LinkedIn" class="jsx-3582162638 inactive"/><img src="/static-res/images/svg/blogsvgs/icon-linkedIn-white.svg" alt="LinkedIn" class="jsx-3582162638 active"/><span class="jsx-3582162638 sr-only">Share on LinkedIn</span></a><div class="jsx-3582162638 tooltips tooltip-bottom tooltip-linkedin"><p class="jsx-3582162638">Share on LinkedIn</p></div></li><li class="jsx-3582162638"><a class="social-btn facebook" href="javascript:void(0)"><img src="/static-res/images/svg/blogsvgs/icon-facebook-grey.svg" alt="Facebook" class="jsx-3582162638 inactive"/><img src="/static-res/images/svg/blogsvgs/icon-facebook-white.svg" alt="Facebook" class="jsx-3582162638 active"/><span class="jsx-3582162638 sr-only">Share on Facebook</span></a><div class="jsx-3582162638 tooltips tooltip-bottom tooltip-facebook"><p class="jsx-3582162638">Share on Facebook</p></div></li><li class="jsx-3582162638"><a class="social-btn email" href="javascript:void(0)"><img src="/static-res/images/svg/blogsvgs/icon-mail-24-lighterInk.svg" alt="email" class="jsx-3582162638 inactive"/><img src="/static-res/images/svg/blogsvgs/icon-mail-24-white.svg" alt="email" class="jsx-3582162638 active"/><span class="jsx-3582162638 sr-only">Share by Email</span></a><div class="jsx-3582162638 tooltips tooltip-bottom tooltip-email"><p class="jsx-3582162638">Share by email</p></div></li><li class="jsx-3582162638"><a href="javascript:void(0)" class="jsx-3582162638 social-btn print"><img src="/static-res/images/svg/blogsvgs/icon-print-24-lighterInk.svg" alt="print" class="jsx-3582162638 inactive"/><img src="/static-res/images/svg/blogsvgs/icon-print-24-white.svg" alt="print" class="jsx-3582162638 active"/><span class="jsx-3582162638 sr-only">Print this page</span></a><div class="jsx-3582162638 tooltips tooltip-bottom tooltip-print"><p class="jsx-3582162638">Print</p></div></li></ul></div></div></div></div><div class="layout layout-05"></div><div class="section blog-title-text" id=""><p><span style="font-size:12pt">Today, we are pleased to announce the technical preview of Elastic®’s new piped query language, </span><a href="https://www.elastic.co/guide/en/elasticsearch/reference/master/esql.html"><span style="font-size:12pt">ES|QL</span></a><span style="font-size:12pt"> (Elasticsearch Query Language), which transforms, enriches, and simplifies data investigations. Powered by a new query engine, ES|QL delivers advanced search capabilities with concurrent processing, improving speed and efficiency irrespective of data source and structure. Quickly resolve issues by creating aggregations and visualizations all from a single screen for an iterative and smooth workflow.</span></p></div><div class="layout layout-05"></div><figure class="jsx-89852744 vidyard-embed "><img src="https://play.vidyard.com/B7awk5TY43Dq9VpQxbvmxA.jpg" data-uuid="B7awk5TY43Dq9VpQxbvmxA" data-v="4" data-chapter="1" data-type="inline" data-referring_url="" disablepictureinpicture="" data-autoplay="1" data-hidden_controls="1" data-muted="1" data-loop="1" data-disable_analytics="1" alt="Video thumbnail" class="jsx-89852744 vidyard-player-embed "/></figure><div class="layout layout-05"></div><div class="section blog-title-text" id="evolution-in-elasticsearch"><div class="jsx-1955866259 title-wrapper"><h2 tag="H2" id="evolution-in-elasticsearch" class="jsx-1955866259 ">Evolution in Elasticsearch</h2></div><p><span style="font-size:12pt">Over the past 13 years, </span><a href="https://www.elastic.co/elasticsearch/"><span style="font-size:12pt">Elasticsearch®</span></a><span style="font-size:12pt"> has significantly evolved, adapting to user needs and the shifting digital landscape. Originally for full-text search, Elasticsearch expanded to support a broader set of use cases based on user feedback. Throughout this journey, the Elasticsearch </span><a href="https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html"><span style="font-size:12pt">Query DSL</span></a><span style="font-size:12pt">, our first adopted search language, provided a rich set of queries for filters, aggregations, and other operations. This JSON-based DSL ultimately became the foundation of our </span><a href="https://www.elastic.co/guide/en/elasticsearch/reference/8.10/search-search.html" target="_self"><span style="font-size:12pt"><span data-type="inlineCode">_search</span></span></a><span style="font-size:12pt"> API endpoint.</span></p><p><span style="font-size:12pt">Through the years and the diversification of needs, it became evident that users wanted more than what Query DSL provided. We began to adopt and weave in additional DSLs under our Query DSL for </span><a href="https://www.elastic.co/guide/en/elasticsearch/painless/master/painless-contexts.html"><span style="font-size:12pt">scripting</span></a><span style="font-size:12pt"> or for </span><a href="https://www.elastic.co/guide/en/elasticsearch/reference/master/eql-apis.html"><span style="font-size:12pt">events</span></a><span style="font-size:12pt"> in security investigations and much more. However, as versatile as these additions were, they didn't entirely cover some of the requirements of our users.</span></p><p><span style="font-size:12pt">Users wanted a query language that could:</span></p><ul><li><span style="font-size:12pt">Simplify threat and security investigations while observing and resolving production issues through a single query that delivers a comprehensive and iterative approach</span></li><li><span style="font-size:12pt">Streamline data investigations by searching, enriching, aggregating, and visualizing plus more, all from a single interface</span></li><li><span style="font-size:12pt">Use advanced search capabilities like lookups with concurrent processing improving speed and efficiency to query vast amounts of data irrespective of source and structure</span></li></ul></div><div class="section blog-title-text mt-6" id="from-pipe-dreams-to-reality-—-introducing-es|ql"><div class="jsx-1955866259 title-wrapper"><h2 tag="H2" id="from-pipe-dreams-to-reality-—-introducing-es|ql" class="jsx-1955866259 ">From pipe dreams to reality — Introducing ES|QL</h2></div><p>We listened and are proud to introduce <a href="https://www.elastic.co/blog/getting-started-elasticsearch-query-language">Elasticsearch Query Language (ES|QL)</a>, our new innovative piped query language — a single unified method and language to interact with data in Elasticsearch while removing the costly need to transfer it to external systems for specialized processing. Unlike other languages Elastic has adopted over the years like Query DSL, ES|QL is designed and purpose built from the ground up to greatly simplify data investigations and be accessible for beginners while being powerful for experts. </p><p><em>ES|QL example command:</em></p></div><div class="code-module"><div class="layout layout-01"></div><div class="jsx-2357345995 code-snippet mt-6 container"><pre tabindex="0" class="jsx-2357345995 form-control prettyprint mt-4"><code class="jsx-2357345995">from logstash-* | stats avg_bytes = avg(bytes) by geo.src | eval avg_bytes_kb = round(avg_bytes/1024, 2) | enrich geo-data on geo.src with country, continent | keep avg_bytes_kb, geo.src, country, continent | limit 4</code></pre><div data-clipboard-text="from logstash-* | stats avg_bytes = avg(bytes) by geo.src | eval avg_bytes_kb = round(avg_bytes/1024, 2) | enrich geo-data on geo.src with country, continent | keep avg_bytes_kb, geo.src, country, continent | limit 4" class="jsx-2357345995 tooltip-wrapper p-relative"><span class="jsx-2357345995 tooltip-text onlyFadeIn"></span><button data-clipboard-text="from logstash-* | stats avg_bytes = avg(bytes) by geo.src | eval avg_bytes_kb = round(avg_bytes/1024, 2) | enrich geo-data on geo.src with country, continent | keep avg_bytes_kb, geo.src, country, continent | limit 4" value="Copy" type="button" class="jsx-2357345995 copy-btn"><img src="/static-res/images/content-copy-16-blue.svg" alt="" class="jsx-2357345995"/>Copy</button></div></div></div><div class="layout layout-05"></div><div class="section blog-title-text" id=""><p><span style="font-size:12pt"><em>ES|QL example output:</em></span></p><p><span style="font-size:12pt"><em></em></span></p><table><tbody><tr><td><span style="font-size:12pt"><span data-type="inlineCode">avg_bytes_kb</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">geo.src</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">country</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">continent</span></span><span style="font-size:12pt"> </span></td></tr><tr><td><span style="font-size:12pt"><span data-type="inlineCode">8.84</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">BD</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Bangladesh</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Asia</span></span><span style="font-size:12pt"> </span></td></tr><tr><td><span style="font-size:12pt"><span data-type="inlineCode">6.92</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">BR</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Brazil</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Americas</span></span><span style="font-size:12pt"> </span></td></tr><tr><td><span style="font-size:12pt"><span data-type="inlineCode">2.75</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">CI</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Côte d'Ivoire</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Africa</span></span><span style="font-size:12pt"> </span></td></tr><tr><td><span style="font-size:12pt"><span data-type="inlineCode">4.55</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">CL</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Chile</span></span><span style="font-size:12pt"> </span></td><td><span style="font-size:12pt"><span data-type="inlineCode">Americas</span></span><span style="font-size:12pt"> </span></td></tr></tbody></table><p></p></div><div class="section blog-title-text mt-6" id="streamlined-simplicity:-a-ui-tailored-for-enhanced-and-iterative-workflows-"><div class="jsx-1955866259 title-wrapper"><h3 tag="H3" id="streamlined-simplicity-a-ui-tailored-for-enhanced-and-iterative-workflows" class="jsx-1955866259 ">Streamlined simplicity: A UI tailored for enhanced and iterative workflows </h3></div><p><span style="font-size:12pt">Connecting the dots of an unfolding attack or navigating through observability data requires you to filter, search, transform, and aggregate across an extraordinary amount of data. ES|QL delivers this functionality from a single query.</span></p></div><div><div class="layout layout-05"></div><div class="jsx-2091990213 image-module"><div class="jsx-2091990213 container"><div class="jsx-2091990213 row justify-content-center"><div class="jsx-2091990213 "><figure class="jsx-2091990213"><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltfa80b86cb375b9da/6543cff6a036750407c83950/elastic-esql-announcement.png" alt="Streamlined simplicity" class="jsx-2091990213 img-fluid shadow-light "/></figure></div></div></div></div></div><div class="layout layout-05"></div><div class="section blog-title-text" id=""><p><span style="font-size:12pt">Context switching or trying to find what you are looking for from many screens can slow you down and be frustrating. From a unified display, ES|QL provides autocomplete syntax, integrates product documentation, and visualizes search outcomes, ensuring an uninterrupted and efficient workflow for data inquiries. Whether for security, observability, or search, ES|QL enhances efficiency, speed, and the depth of data exploration.</span></p></div><div class="section blog-title-text mt-6" id="es|ql-concurrency-—-two-threads-are-better-than-one"><div class="jsx-1955866259 title-wrapper"><h3 tag="H3" id="es|ql-concurrency-—-two-threads-are-better-than-one" class="jsx-1955866259 ">ES|QL concurrency — Two threads are better than one</h3></div><p><span style="font-size:12pt">Powered by a robust query engine, ES|QL offers advanced search capabilities with concurrent processing, enabling users to seamlessly query across diverse data sources and structure.</span></p><p><span style="font-size:12pt">There is no translation or transpliations to Query DSL; instead, each query in ES|QL is initially broken down, interpreted for its meaning, validated for accuracy, and then enhanced for best performance. Then a process is laid out for executing the query across various nodes within the cluster. The target nodes handle the query, making on-the-fly adjustments to the execution plan using the framework provided by ES|QL. The result is lightning fast queries that you get out of the box. As an example, view </span><a href="https://elasticsearch-benchmarks.elastic.co/#tracks/esql/nightly/default/30d"><span style="font-size:12pt">the nightly benchmarks</span></a><span style="font-size:12pt"> for comparison.</span></p></div><div class="layout layout-05"></div><section aria-labelledby="share-your-feedback-on-elastic-products-in-ux-labs" data-component-theme="" class="jsx-3636536621 Banner_banner__2dLBD container"><div class="BannerPatterns_patternsContainer__myz5p border-radius-medium bg-white border-2px-gray"><div class="BannerPatterns_patternLight___6Dd7 d-none d-md-block"><div><img src="/static-res/images/banner-generic-light.svg" alt=""/></div></div><div class="Banner_layoutColumnTwo__upzBA Banner_layoutColumnTwoOneCta__tYoi7 border-radius-medium bg-white" data-component-theme="light"><div class="Banner_content__05Rnu"><div class="Banner_copy__mYKeO"><div class="jsx-1955866259 title-wrapper"><h4 tag="H4" id="share-your-feedback-on-elastic-products-in-ux-labs" class="jsx-1955866259 h5">Share your feedback on Elastic products in UX Labs!</h4></div><div class="paragraph-medium"><p>Participate in user research and product feedback sessions with Elastic product teams.</p></div></div><div class="Banner_cta__v_bl7"><a class="button btn-secondary" href="https://elastic.eu.qualtrics.com/jfe/form/SV_bjSULbqPVJy8DKB"><span class="jsx-1596590093 btn-copy">Sign up now</span></a></div></div></div></div></section><div class="layout layout-05"></div><div class="section blog-title-text" id="platform-innovation-drives-elastic-solutions-benefits"><div class="jsx-1955866259 title-wrapper"><h2 tag="H2" id="platform-innovation-drives-elastic-solutions-benefits" class="jsx-1955866259 ">Platform innovation drives Elastic solutions benefits</h2></div><p><span style="font-size:12pt">Elastic’s solutions — </span><a href="https://www.elastic.co/enterprise-search"><span style="font-size:12pt">Search</span></a><span style="font-size:12pt">, </span><a href="https://www.elastic.co/observability"><span style="font-size:12pt">Observability</span></a><span style="font-size:12pt">, and </span><a href="https://www.elastic.co/security"><span style="font-size:12pt">Security</span></a><span style="font-size:12pt"> — all benefit from features and innovations that are delivered within Elasticsearch and Kibana®. ES|QL fundamentally changes the experience of using these solutions and provides a simple but powerful data investigation workflow.</span></p></div><div class="section blog-title-text mt-6" id="es|ql-enhances-elastic-security"><div class="jsx-1955866259 title-wrapper"><h3 tag="H3" id="es|ql-enhances-elastic-security" class="jsx-1955866259 ">ES|QL enhances Elastic Security</h3></div><p><span style="font-size:12pt">ES|QL fundamentally changes how analysts pursue threats and strengthens detection. Built in answer to rich community input, it unleashes the power of piped queries at the speed of Elasticsearch, enhancing the SIEM, endpoint security, and cloud security capabilities of Elastic Security.</span></p><ul><li><span style="font-size:12pt"><strong>Search quickly and iteratively:</strong></span><span style="font-size:12pt"> Following the breadcrumbs of an emerging threat requires quick action and a language that delivers an iterative workflow.</span></li><li><span style="font-size:12pt"><strong>Enrich results with context:</strong></span><span style="font-size:12pt"> ES|QL enables analysts to correlate suspicious IP addresses with known threat intelligence databases, providing immediate clarity on potential threats.</span></li><li><span style="font-size:12pt"><strong>Transform data:</strong></span><span style="font-size:12pt"> ES|QL empowers users to manipulate their data by defining new fields or parsing non-normalized data, ensuring data clarity and relevance.</span></li><li><span style="font-size:12pt"><strong>Aggregate data:</strong></span><span style="font-size:12pt"> Results can be consolidated and aggregated, paving the way for deeper analysis and insight extraction.</span></li></ul><p><span style="font-size:12pt">Elastic is the only search platform to pair the efficiency of a schema-on-write architecture with the iterative search experience of a schema-on-read piped query language. With incredibly fast search — and query output in full sight — analysts can draw closer to their target with each successive pipe.</span></p><p><span style="font-size:12pt">ES|QL also enhances Elastic Security’s powerful detection engine. To reduce alarm fatigue, improve alert relevance, and provide another avenue for behavioral detection, organizations can incorporate aggregated values within detection rules. With inline evaluation, practitioners can iteratively develop and hone ES|QL-based rules. Queries are formatted in plaintext, simplifying collaboration and supporting detection-as-code.</span></p></div><div class="section blog-title-text mt-6" id="es|ql-impacts-elastic-observability"><div class="jsx-1955866259 title-wrapper"><h3 tag="H3" id="es|ql-impacts-elastic-observability" class="jsx-1955866259 ">ES|QL impacts Elastic Observability</h3></div><p><span style="font-size:12pt">SREs using </span><a href="https://www.elastic.co/observability-labs/blog/opentelemetry-kubernetes-esql"><span style="font-size:12pt">Elastic Observability</span></a><span style="font-size:12pt"> can leverage ES|QL to analyze logs, metrics, traces, and profiling data, enabling them to pinpoint performance bottlenecks and system issues with a single query. SREs gain the following advantages when managing high dimensionality and high cardinality data with ES|QL in Elastic Observability:</span></p><ul><li><span style="font-size:12pt"><strong>Remove signal noise:</strong></span><span style="font-size:12pt"> With ES|QL alerting, enhance detection precision by focusing on significant trends rather than individual incidents, minimizing false alarms, and delivering actionable notifications. SREs can manage these alerts through the Elastic API and integrate them into DevOps processes.</span></li><li><span style="font-size:12pt"><strong>Enhanced analysis with insights:</strong></span><span style="font-size:12pt"> ES|QL can process diverse observability data, including application, infrastructure, business data, and more, regardless of the source and structure. ES|QL can easily enrich the data with additional fields and context, allowing the creation of visualizations for dashboards or issue analysis with a single query.</span></li><li><span style="font-size:12pt"><strong>Reduced mean time to resolution:</strong></span><span style="font-size:12pt"> ES|QL, when combined with Elastic Observability's AIOps and AI Assistant, enhances detection accuracy by identifying trends, isolating incidents, and reducing false positives. This improvement in context facilitates troubleshooting and the quick pinpointing and resolution of issues.</span></li></ul><p><span style="font-size:12pt">ES|QL in Elastic Observability not only enhances an SRE's ability to manage the customer experience, an organization's revenue, and SLOs more effectively but also facilitates collaboration with developers and DevOps by providing contextualized aggregated data.</span></p></div><div class="section blog-title-text mt-6" id="es|ql-advances-elastic-search"><div class="jsx-1955866259 title-wrapper"><h3 tag="H3" id="es|ql-advances-elastic-search" class="jsx-1955866259 ">ES|QL advances Elastic Search</h3></div><p><span style="font-size:12pt">With ES|QL, you can retrieve, aggregate, calculate, and transform data in a single query. It boasts key features, such as the ability to define fields at the time of query, perform data enrichment lookups, and process queries concurrently. Understand and explore your data with ES|QL in various ways. From utilizing clients for direct API/code integration to visualizing results directly from one screen, ES|QL streamlines your data investigations, ensuring you get the most out of your data sets with ease and simplicity. </span></p><p><span style="font-size:12pt">ES|QL’s design focus is evident in its capability to reduce code complexity, ultimately leading to cost and time savings. By facilitating the reuse of query results in subsequent searches, ES|QL minimizes computational overhead, eliminating the need for convoluted scripts and redundant queries. ES|QL is not just an API but a simple and powerful way to transform your approach to search.</span></p></div><div class="section blog-title-text mt-6" id="embark-on-your-es|ql-journey"><div class="jsx-1955866259 title-wrapper"><h2 tag="H2" id="embark-on-your-es|ql-journey" class="jsx-1955866259 ">Embark on your ES|QL journey</h2></div><p><span style="font-size:12pt">The future of data exploration and manipulation is here. Elastic invites security analysts, SREs, and developers to experience this transformative language firsthand and unlock new horizons in their data tasks. </span><a href="https://www.elastic.co/elasticsearch/piped-query-language"><span style="font-size:12pt">Learn more about the possibilities with ES|QL</span></a><span style="font-size:12pt">, or </span><a href="http://ela.st/startnow"><span style="font-size:12pt">start your free trial</span></a><span style="font-size:12pt"> now in technical preview.</span></p><p></p><p></p><p><span style="font-size:10pt"><em>The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. 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At Elastic he supports customers and their use cases.\u003c/p\u003e","subtitle_l10n":"","tags":[],"title":"George Kobar","twitter_id":"","updated_at":"2024-07-22T20:44:18.836Z","updated_by":"blt36e890d06c5ec32c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2024-07-22T20:44:26.937Z","user":"blt36e890d06c5ec32c"}},{"_version":6,"locale":"en-us","uid":"blt19aa6eaf05f480b6","ACL":{},"company_l10n":"Elastic","created_at":"2022-09-22T17:44:58.627Z","created_by":"bltd9765be97bbed20c","email_id":"","facebook_id":"","first_name":"Bahubali","image":{"_version":1,"is_dir":false,"uid":"blt80d49ab8855634f9","ACL":{},"content_type":"image/jpeg","created_at":"2023-01-24T17:57:36.681Z","created_by":"blt3044324473ef223b70bc674c","file_size":"153370","filename":"headshot-bahubali-shetti-512x512.jpg","parent_uid":null,"tags":[],"title":"headshot-bahubali-shetti-512x512.jpg","updated_at":"2023-01-24T17:57:36.681Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2024-07-12T08:56:40.313Z","user":"blt3e52848e0cb3c394"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt80d49ab8855634f9/63d01c102385d62e1135975e/headshot-bahubali-shetti-512x512.jpg"},"job_title_l10n":"Senior Director, Product Marketing","key":"","last_name":"Shetti","paragraph_l10n":"","subtitle_l10n":"","tags":[],"title":"Bahubali Shetti","updated_at":"2023-01-24T17:57:37.680Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-01-24T17:57:43.245Z","user":"blt3044324473ef223b70bc674c"}},{"uid":"blt91eeaf08ab3d1d6a","_version":7,"locale":"en-us","ACL":{},"company_l10n":"Elastic","created_at":"2019-02-13T20:11:14.793Z","created_by":"bltf6ab93733e4e3a73","email_id":"","facebook_id":"","first_name":"Mark","image":{"uid":"blt7669259e7baf9e36","created_by":"blt6fa29433803d8193","updated_by":"blt6fa29433803d8193","created_at":"2019-10-15T21:47:18.679Z","updated_at":"2019-10-15T21:47:18.679Z","content_type":"image/jpeg","file_size":"83081","filename":"headshot-mark-settle-300x300.jpg","title":"headshot-mark-settle-300x300.jpg","ACL":{},"_version":1,"is_dir":false,"tags":[],"publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2019-10-15T21:47:42.053Z","user":"blt6fa29433803d8193"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt7669259e7baf9e36/5da63e66e5aefb63f5caaa7e/headshot-mark-settle-300x300.jpg"},"job_title_l10n":"Principal Product Marketing Manager","key":"","last_name":"Settle","linkedin_id":"","paragraph_l10n":"\u003cp\u003eSenior Product Marketing Manager, Security Analytics\u003c/p\u003e\n\u003cp\u003eMark Settle previously managed product marketing at LogRhythm and marketing communications at telecommunications firm Zayo. 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Based in Portland, Oregon, he appreciates coffee shops with good Wi-Fi and plentiful power outlets.\n\u003c/p\u003e","subtitle_l10n":"","tags":[],"title":"Mark Settle","twitter_id":"","updated_at":"2023-11-30T15:14:15.418Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"time":"2023-11-30T15:14:20.511Z","user":"blt3044324473ef223b70bc674c","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}}],"category":[{"_version":5,"locale":"en-us","uid":"blt0c9f31df4f2a7a2b","ACL":{},"created_at":"2018-08-27T12:32:48.561Z","created_by":"sys_blt57a423112de8a853","key":"company-news","label_l10n":"News","tags":[],"title":"News","updated_at":"2024-05-10T13:44:22.885Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2024-08-29T20:00:07.956Z","user":"blt27204bf9f7abb7fd"}}],"created_at":"2023-11-02T16:45:13.837Z","created_by":"bltb6c155cd84fc0c1a","custom_content_gallery":{"title_l10n":"","cta":{"cta_title_l10n":"","url":""},"content":[]},"do_not_display":false,"markdown_l10n":"","modular_blocks":[{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs222fe93da4825778"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eToday, we are pleased to announce the technical preview of Elastic®’s new piped query language, \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/master/esql.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eES|QL\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e (Elasticsearch Query Language), which transforms, enriches, and simplifies data investigations. Powered by a new query engine, ES|QL delivers advanced search capabilities with concurrent processing, improving speed and efficiency irrespective of data source and structure. Quickly resolve issues by creating aggregations and visualizations all from a single screen for an iterative and smooth workflow.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs9dffee14040495c6"}}},{"video":{"vidyard_uuid":"B7awk5TY43Dq9VpQxbvmxA","_metadata":{"uid":"cs009e76748c563af9"},"caption_l10n":"","shadow":false,"video_play_count":"","muted":false,"loop_video":false,"hide_controls":false,"looping_animation":true}},{"title_text":{"title_text":[{"title_l10n":"Evolution in Elasticsearch","_metadata":{"uid":"cs197c429163a56ea5"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eOver the past 13 years, \u003c/span\u003e\u003ca href=\"https://www.elastic.co/elasticsearch/\"\u003e\u003cspan style='font-size: 12pt;'\u003eElasticsearch®\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e has significantly evolved, adapting to user needs and the shifting digital landscape. Originally for full-text search, Elasticsearch expanded to support a broader set of use cases based on user feedback. Throughout this journey, the Elasticsearch \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eQuery DSL\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, our first adopted search language, provided a rich set of queries for filters, aggregations, and other operations. This JSON-based DSL ultimately became the foundation of our \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/8.10/search-search.html\" target=\"_self\"\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003e_search\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e API endpoint.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThrough the years and the diversification of needs, it became evident that users wanted more than what Query DSL provided. We began to adopt and weave in additional DSLs under our Query DSL for \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/painless/master/painless-contexts.html\"\u003e\u003cspan style='font-size: 12pt;'\u003escripting\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e or for \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/master/eql-apis.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eevents\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e in security investigations and much more. However, as versatile as these additions were, they didn't entirely cover some of the requirements of our users.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eUsers wanted a query language that could:\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003eSimplify threat and security investigations while observing and resolving production issues through a single query that delivers a comprehensive and iterative approach\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003eStreamline data investigations by searching, enriching, aggregating, and visualizing plus more, all from a single interface\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003eUse advanced search capabilities like lookups with concurrent processing improving speed and efficiency to query vast amounts of data irrespective of source and structure\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e"},{"title_l10n":"From pipe dreams to reality — Introducing ES|QL","_metadata":{"uid":"cs739139b681a5e1c8"},"header_style":"H2","paragraph_l10n":"\u003cp\u003eWe listened and are proud to introduce \u003ca href=\"https://www.elastic.co/blog/getting-started-elasticsearch-query-language\"\u003eElasticsearch Query Language (ES|QL)\u003c/a\u003e, our new innovative piped query language — a single unified method and language to interact with data in Elasticsearch while removing the costly need to transfer it to external systems for specialized processing. Unlike other languages Elastic has adopted over the years like Query DSL, ES|QL is designed and purpose built from the ground up to greatly simplify data investigations and be accessible for beginners while being powerful for experts.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cem\u003eES|QL example command:\u003c/em\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs04670210ba5e42cd"}}},{"code":{"code":"from logstash-*\n| stats avg_bytes = avg(bytes) by geo.src\n| eval avg_bytes_kb = round(avg_bytes/1024, 2)\n| enrich geo-data on geo.src with country, continent\n| keep avg_bytes_kb, geo.src, country, continent \n| limit 4","_metadata":{"uid":"cs834eb08b45840476"}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs1f7334849b863511"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cem\u003eES|QL example output:\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cem\u003e\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\u003ctable\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eavg_bytes_kb\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003egeo.src\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003ecountry\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003econtinent\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003e8.84\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eBD\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eBangladesh\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eAsia\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003e6.92\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eBR\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eBrazil\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eAmericas\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003e2.75\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eCI\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eCôte d'Ivoire\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eAfrica\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003e4.55\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003c/td\u003e\u003ctd\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan 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aggregate across an extraordinary amount of data. ES|QL delivers this functionality from a single query.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs31e57e44273c117b"}}},{"image":{"image":{"uid":"bltfa80b86cb375b9da","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2023-11-02T16:36:06.520Z","created_by":"bltb6c155cd84fc0c1a","file_size":"203328","filename":"elastic-esql-announcement.png","parent_uid":null,"tags":[],"title":"elastic-esql-announcement.png","updated_at":"2023-11-02T16:36:06.520Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2023-11-07T13:45:02.372Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltfa80b86cb375b9da/6543cff6a036750407c83950/elastic-esql-announcement.png"},"_metadata":{"uid":"csfd05a4b557ba811a"},"caption_l10n":"","alt_text_l10n":"Streamlined simplicity","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs1e125b8cf8146c20"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eContext switching or trying to find what you are looking for from many screens can slow you down and be frustrating. From a unified display, ES|QL provides autocomplete syntax, integrates product documentation, and visualizes search outcomes, ensuring an uninterrupted and efficient workflow for data inquiries. Whether for security, observability, or search, ES|QL enhances efficiency, speed, and the depth of data exploration.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"ES|QL concurrency — Two threads are better than one","_metadata":{"uid":"cs38fa14a1aff22148"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003ePowered by a robust query engine, ES|QL offers advanced search capabilities with concurrent processing, enabling users to seamlessly query across diverse data sources and structure.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eThere is no translation or transpliations to Query DSL; instead, each query in ES|QL is initially broken down, interpreted for its meaning, validated for accuracy, and then enhanced for best performance. Then a process is laid out for executing the query across various nodes within the cluster. The target nodes handle the query, making on-the-fly adjustments to the execution plan using the framework provided by ES|QL. The result is lightning fast queries that you get out of the box. As an example, view \u003c/span\u003e\u003ca href=\"https://elasticsearch-benchmarks.elastic.co/#tracks/esql/nightly/default/30d\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003ethe nightly benchmarks\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e for comparison.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs4447eafd0e1b6c8c"}}},{"banner":{"reference":[{"_content_type_uid":"banner","_version":1,"locale":"en-us","uid":"blt6d98a581fc6972d6","ACL":{},"badge_title_l10n":"","created_at":"2024-08-22T22:43:30.901Z","created_by":"blt36e890d06c5ec32c","cta_group":[{"title_l10n":"Sign up now","url":"https://elastic.eu.qualtrics.com/jfe/form/SV_bjSULbqPVJy8DKB","_metadata":{"uid":"cs9440cb6dca3ac9b6"}}],"image":{"image_file":null,"type":null},"list_group":{"group":[]},"paragraph_l10n":"\u003cp\u003eParticipate in user research and product feedback sessions with Elastic product teams.\u003c/p\u003e","style":{"background_color":null,"has_background_gradient":false,"badge_title_color":null,"has_pattern":true},"tags":[],"title":"Share your feedback on Elastic products in UX Labs!","title_l10n":"Share your feedback on Elastic products in UX Labs!","updated_at":"2024-08-22T22:43:30.901Z","updated_by":"blt36e890d06c5ec32c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2024-09-26T11:25:22.695Z","user":"blt3e52848e0cb3c394"}}],"_metadata":{"uid":"csbff4b0be769be0d1"}}},{"title_text":{"title_text":[{"title_l10n":"Platform innovation drives Elastic solutions benefits","_metadata":{"uid":"csa9673bb974a22aea"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic’s solutions — \u003c/span\u003e\u003ca href=\"https://www.elastic.co/enterprise-search\"\u003e\u003cspan style='font-size: 12pt;'\u003eSearch\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, \u003c/span\u003e\u003ca href=\"https://www.elastic.co/observability\"\u003e\u003cspan style='font-size: 12pt;'\u003eObservability\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, and \u003c/span\u003e\u003ca href=\"https://www.elastic.co/security\"\u003e\u003cspan style='font-size: 12pt;'\u003eSecurity\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e — all benefit from features and innovations that are delivered within Elasticsearch and Kibana®. ES|QL fundamentally changes the experience of using these solutions and provides a simple but powerful data investigation workflow.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"ES|QL enhances Elastic Security","_metadata":{"uid":"cs0cc21de07179557b"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eES|QL fundamentally changes how analysts pursue threats and strengthens detection. Built in answer to rich community input, it unleashes the power of piped queries at the speed of Elasticsearch, enhancing the SIEM, endpoint security, and cloud security capabilities of Elastic Security.\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eSearch quickly and iteratively:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e Following the breadcrumbs of an emerging threat requires quick action and a language that delivers an iterative workflow.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eEnrich results with context:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e ES|QL enables analysts to correlate suspicious IP addresses with known threat intelligence databases, providing immediate clarity on potential threats.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eTransform data:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e ES|QL empowers users to manipulate their data by defining new fields or parsing non-normalized data, ensuring data clarity and relevance.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eAggregate data:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e Results can be consolidated and aggregated, paving the way for deeper analysis and insight extraction.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic is the only search platform to pair the efficiency of a schema-on-write architecture with the iterative search experience of a schema-on-read piped query language. With incredibly fast search — and query output in full sight — analysts can draw closer to their target with each successive pipe.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eES|QL also enhances Elastic Security’s powerful detection engine. To reduce alarm fatigue, improve alert relevance, and provide another avenue for behavioral detection, organizations can incorporate aggregated values within detection rules. With inline evaluation, practitioners can iteratively develop and hone ES|QL-based rules. Queries are formatted in plaintext, simplifying collaboration and supporting detection-as-code.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"ES|QL impacts Elastic Observability","_metadata":{"uid":"csb5a8ab761d6d8ece"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eSREs using \u003c/span\u003e\u003ca href=\"https://www.elastic.co/observability-labs/blog/opentelemetry-kubernetes-esql\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003eElastic Observability\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e can leverage ES|QL to analyze logs, metrics, traces, and profiling data, enabling them to pinpoint performance bottlenecks and system issues with a single query. SREs gain the following advantages when managing high dimensionality and high cardinality data with ES|QL in Elastic Observability:\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eRemove signal noise:\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e With ES|QL alerting, enhance detection precision by focusing on significant trends rather than individual incidents, minimizing false alarms, and delivering actionable notifications. SREs can manage these alerts through the Elastic API and integrate them into DevOps processes.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eEnhanced analysis with insights:\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e ES|QL can process diverse observability data, including application, infrastructure, business data, and more, regardless of the source and structure. ES|QL can easily enrich the data with additional fields and context, allowing the creation of visualizations for dashboards or issue analysis with a single query.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eReduced mean time to resolution:\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e ES|QL, when combined with Elastic Observability's AIOps and AI Assistant, enhances detection accuracy by identifying trends, isolating incidents, and reducing false positives. This improvement in context facilitates troubleshooting and the quick pinpointing and resolution of issues.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eES|QL in Elastic Observability not only enhances an SRE's ability to manage the customer experience, an organization's revenue, and SLOs more effectively but also facilitates collaboration with developers and DevOps by providing contextualized aggregated data.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"ES|QL advances Elastic Search","_metadata":{"uid":"csb76831ef608b17a8"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWith ES|QL, you can retrieve, aggregate, calculate, and transform data in a single query. It boasts key features, such as the ability to define fields at the time of query, perform data enrichment lookups, and process queries concurrently. Understand and explore your data with ES|QL in various ways. From utilizing clients for direct API/code integration to visualizing results directly from one screen, ES|QL streamlines your data investigations, ensuring you get the most out of your data sets with ease and simplicity.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eES|QL’s design focus is evident in its capability to reduce code complexity, ultimately leading to cost and time savings. By facilitating the reuse of query results in subsequent searches, ES|QL minimizes computational overhead, eliminating the need for convoluted scripts and redundant queries. ES|QL is not just an API but a simple and powerful way to transform your approach to search.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Embark on your ES|QL journey","_metadata":{"uid":"cs0f05f64d80a306a6"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThe future of data exploration and manipulation is here. Elastic invites security analysts, SREs, and developers to experience this transformative language firsthand and unlock new horizons in their data tasks. \u003c/span\u003e\u003ca href=\"https://www.elastic.co/elasticsearch/piped-query-language\"\u003e\u003cspan style='font-size: 12pt;'\u003eLearn more about the possibilities with ES|QL\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, or \u003c/span\u003e\u003ca href=\"http://ela.st/startnow\"\u003e\u003cspan style='font-size: 12pt;'\u003estart your free trial\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e now in technical preview.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 10pt;'\u003e\u003cem\u003eThe release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs14331b010fbe896a"}}}],"publish_date":"2023-11-07","seo":{"seo_title_l10n":"Announcing Elastic’s piped query language, ES|QL","seo_description_l10n":"","seo_image":null,"noindex":false,"canonical_tag":"","meta":{"topic":{"meta_content_reference":[]},"category":{"meta_content_reference":[]},"format":{"meta_content_reference":[]},"lens":{"meta_content_reference":[]}}},"subtitle_l10n":"","table_of_contents":{"display_table_of_contents":true,"blog_series":[]},"tags":[],"tags_culture":[],"tags_elastic_stack":[],"tags_industry":[],"tags_partner":[],"tags_topic":[],"tags_use_case":[{"_version":2,"locale":"en-us","uid":"blt38a6c014d6bd5ecb","ACL":{},"created_at":"2021-06-02T15:27:49.854Z","created_by":"blt3044324473ef223b70bc674c","hidden_value":false,"keyword":"stack","label_l10n":"Stack","tags":[],"title":"Stack","updated_at":"2021-07-13T22:00:22.378Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-12-08T15:50:17.258Z","user":"blt4b2e1169881270a8"}},{"_version":2,"locale":"en-us","uid":"bltcb543cd010a1e2a8","ACL":{},"created_at":"2020-06-17T03:33:30.831Z","created_by":"blt3044324473ef223b70bc674c","hidden_value":false,"keyword":"cloud","label_l10n":"Cloud","tags":[],"title":"Cloud","updated_at":"2020-07-06T22:20:17.019Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-12-08T16:05:21.552Z","user":"blt4b2e1169881270a8"}}],"thumbnail_image":{"uid":"bltaa08115c1a4c99d9","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2023-11-02T16:21:32.477Z","created_by":"bltb6c155cd84fc0c1a","file_size":"72479","filename":"ES_QL_blog-720x420-06.png","parent_uid":null,"tags":[],"title":"ES_QL_blog-720x420-06.png","updated_at":"2023-11-02T16:21:32.477Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2023-11-07T13:45:02.384Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltaa08115c1a4c99d9/6543cc8c36795e040703e45e/ES_QL_blog-720x420-06.png"},"title":"From pipe dreams to reality: Announcing Elastic’s piped query language, ES|QL","title_l10n":"From pipe dreams to reality: Announcing Elastic’s piped query language, ES|QL","updated_at":"2024-09-13T21:08:31.538Z","updated_by":"blt3044324473ef223b70bc674c","url":"/blog/esql-elasticsearch-piped-query-language","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2024-09-26T11:25:22.695Z","user":"blt3e52848e0cb3c394"}}]],"contentGalleryBlog":[[{"uid":"blt59eccd3a2e38de38","_version":5,"locale":"en-us","ACL":{},"abstract_l10n":"Learn how integrating Amazon CloudWatch Metric Streams with Elastic unlocks the potential for real-time streaming, better operational insights, and seamless monitoring of your AWS resources in this step-by-step blog.","author":[{"_version":8,"locale":"en-us","uid":"blt5913558de3429222","ACL":{},"company_l10n":"Elastic","created_at":"2021-08-16T20:09:28.349Z","created_by":"blt3044324473ef223b70bc674c","email_id":"","facebook_id":"","first_name":"Udayasimha","image":{"parent_uid":null,"uid":"blt3988862df514f3c5","created_by":"blt36e890d06c5ec32c","updated_by":"blt36e890d06c5ec32c","created_at":"2021-08-05T19:09:53.110Z","updated_at":"2021-08-05T19:09:53.110Z","content_type":"image/jpeg","file_size":"34283","filename":"headshot-uday-theepireddy-300x300.jpg","title":"headshot-uday-theepireddy-300x300.jpg","ACL":{},"_version":1,"is_dir":false,"tags":[],"publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2021-08-16T20:12:07.950Z","user":"blt3044324473ef223b70bc674c"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt3988862df514f3c5/610c37814df16d3d6de3d025/headshot-uday-theepireddy-300x300.jpg"},"job_title_l10n":"Senior Principal Solution Architect","key":"udayasimha-theepireddy","last_name":"Theepireddy (Uday)","linkedin_id":"","paragraph_l10n":"","subtitle_l10n":"","tags":[],"title":"Udayasimha Theepireddy (Uday)","twitter_id":"","updated_at":"2023-06-30T16:38:29.518Z","updated_by":"bltd9765be97bbed20c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-06-30T16:38:33.145Z","user":"bltd9765be97bbed20c"}},{"uid":"blt2e7c8afc9665fff8","_version":2,"locale":"en-us","ACL":{},"company_l10n":"AWS","created_at":"2024-11-26T15:03:30.023Z","created_by":"bltb6c155cd84fc0c1a","email_id":"","facebook_id":"","first_name":"Srinivas","image":{"uid":"blta9eaebc5fb2e3051","_version":1,"title":"srinivas-aws.jpeg","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T17:22:53.954Z","updated_at":"2024-11-26T17:22:53.954Z","content_type":"image/jpeg","file_size":"83174","filename":"srinivas-aws.jpeg","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T17:24:14.117Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blta9eaebc5fb2e3051/674603ed56ed54255312bcaa/srinivas-aws.jpeg"},"job_title_l10n":"Sr. Partner Solutions Architect — GenAI and Data","key":"","last_name":"Pendyala","linkedin_id":"","paragraph_l10n":"\u003cp\u003eSrinivas Pendyala brings over 20 years of experience in enterprise technology solutions. He currently works at Amazon Web Services (AWS) as a senior partner solutions architect, focusing on data and generative AI. In this role, Srinivas strengthens technology alliances between AWS and Independent Software Vendors (ISVs), driving value for customers using AWS products with partners.\u003c/p\u003e\u003cp\u003e\u0026nbsp;\u003c/p\u003e\u003cp\u003eBefore joining AWS, Srinivas spent three years at Redis and seven years at Cloudera. At these companies, he managed ISV partnership programs in data engineering, integration, analytics, and machine learning. His expertise spans big data, mobility, and cloud computing solutions for Fortune 500 companies.\u003c/p\u003e\u003cp\u003e\u0026nbsp;\u003c/p\u003e\u003cp\u003eSrinivas is particularly passionate about distributed computing and NoSQL databases. His technical leadership has consistently delivered innovative solutions in these areas throughout his career.\u003c/p\u003e","subtitle_l10n":"","tags":[],"title":"Srinivas Pendyala, AWS","twitter_id":"","updated_at":"2024-11-26T17:24:08.697Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T17:24:14.013Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}}],"category":["blte5cc8450a098ce5e"],"created_at":"2024-11-26T16:28:56.580Z","created_by":"bltb6c155cd84fc0c1a","markdown_l10n":"","modular_blocks":[{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs9da65e578510d92b"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn today’s data-driven world, organizations need to harness the power of real-time monitoring and analysis. \u003c/span\u003e\u003ca href=\"https://aws.amazon.com/cloudwatch/\"\u003e\u003cspan style='font-size: 12pt;'\u003eAmazon CloudWatch\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e native monitoring service provides a robust platform for tracking metrics, logs, and events from various Amazon Web Services (AWS) resources. However, when you need to extend your monitoring and analytics beyond CloudWatch, integrating CloudWatch with Elastic can be a game-changer.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic Observability unifies logs, metrics, and application performance monitoring (APM) traces for a full contextual view across your hybrid \u003c/span\u003e\u003ca href=\"https://www.elastic.co/blog/aws-service-metrics-monitor-observability-easy\"\u003e\u003cspan style='font-size: 12pt;'\u003eAWS environments alongside their on-premises data sets\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. Elastic Observability enables you to track and monitor performance \u003c/span\u003e\u003ca href=\"https://www.elastic.co/observability/aws-monitoring\"\u003e\u003cspan style='font-size: 12pt;'\u003eacross a broad range of AWS services\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, including AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), Amazon Simple Storage Service (S3), Amazon Cloudtrail, Amazon Network Firewall, and many more.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic Observability — in combination with the Elastic AI Assistant — enables the creation of a dynamic context window that enhances the quality of responses from a large language model (LLM). This powerful integration significantly improves the accuracy and relevance of answers. For example, when you ask the Elastic AI Assistant about a specific issue affecting your application, it collects all the pertinent details, such as current anomalies captured from metrics or insights from a related runbook stored in the Elastic AI Assistant’s knowledge base.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eTo simplify this process and reduce management overhead of agents, AWS customers can now use the new Amazon Cloudwatch Metric Stream to ingest metrics into Elastic Cloud in real time and view them in Elastic alongside other metrics for centralized analytics. This eliminates the necessity for time-consuming and expensive procedures, such as agent provisioning or data shipper operations.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn this blog, we’ll explore how to stream Amazon CloudWatch metrics directly to Elastic using CloudWatch Metric Streams. This integration offers real-time data streaming — enabling faster detection of anomalies, more granular insights, and better operational visibility.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"What is CloudWatch Metric Streams?","_metadata":{"uid":"cs781d9de2fccf4eab"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAmazon CloudWatch Metric Streams is a feature that allows you to stream CloudWatch metric data to external destinations in real time. Instead of waiting for periodic CloudWatch API polling or pushing metrics to third-party services manually, Metric Streams allows for near-instantaneous delivery of CloudWatch metrics.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Why should you stream metrics to Elastic?","_metadata":{"uid":"cse99cb901ff619c98"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic is a powerful search and analytics engine often used for logging, monitoring, and analyzing large data sets. By streaming CloudWatch metrics directly to Elasticsearch, you can take advantage of Elastic's powerful query, visualization, dashboard, and generative AI capabilities. Some key benefits of this integration include:\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eReal-time monitoring:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e Get real-time insights and alerts based on CloudWatch metrics.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eCentralized analytics: \u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003eCombine metrics with logs, traces, and other data sources for more powerful correlation and troubleshooting.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eCustom dashboards:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e Use Kibana to create custom dashboards that combine CloudWatch metrics with other data points for richer insights.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eScalability:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e Scale effortlessly, handling large volumes of data while providing low-latency querying.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e"},{"title_l10n":"Prerequisites","_metadata":{"uid":"cs1d3f7f777d91a4fa"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eBefore you begin, ensure that you have the following:\u003c/span\u003e\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eAWS account\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003e:\u003c/strong\u003e A valid AWS account with appropriate IAM permissions\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eElastic cluster\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003e: \u003c/strong\u003eSet up Elastic Cloud (Hosted or Serverless) on AWS (if not already done)\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eCloudWatch metrics\u003c/strong\u003e\u003c/span\u003e\u003cstrong\u003e\u003c/strong\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003e: \u003c/strong\u003eEnsure you have CloudWatch metrics generated from your AWS resources\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eIAM roles/permissions\u003c/strong\u003e\u003c/span\u003e\u003cstrong\u003e\u003c/strong\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003e:\u003c/strong\u003e Permissions to create and manage CloudWatch Metric Streams and write data to your Elasticsearch \u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e"},{"title_l10n":"Step-by-step guide to stream CloudWatch metrics to Elasticsearch","_metadata":{"uid":"cse454db17d7db0b36"},"header_style":"H2","paragraph_l10n":""},{"title_l10n":"Step 1: Set up an Elastic cluster","_metadata":{"uid":"csf0d77265c1a5261c"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIf you don’t have an existing Elastic cluster, create one:\u003c/span\u003e\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eNavigate to the \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eAWS Marketplace and search for Elastic\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e in the AWS Management Console.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eFollow the detailed steps outlined in this guide to deploy an Elastic cluster on AWS: \u003c/span\u003e\u003ca href=\"https://www.elastic.co/blog/getting-started-with-elastic-cloud-on-amazon-web-services-aws\"\u003e\u003cspan style='font-size: 12pt;'\u003eGetting Started with Elastic Cloud on AWS\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eSet up access policies and ensure the right permissions are in place for CloudWatch to push metrics to Elastic.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e"},{"title_l10n":"Step 2: Create a CloudWatch Metric Stream","_metadata":{"uid":"csd57f1e5aee768bb2"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eNow, let’s create a Metric Stream to send CloudWatch metrics to Elasticsearch.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003e1. Go to the CloudWatch console:\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eOpen the \u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eCloudWatch\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e dashboard in the AWS management console.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003e2. Create Metric Stream:\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eIn the CloudWatch console, select \u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eMetric Streams\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e from the navigation pane.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eClick on \u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eCreate metric stream\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003e3. Configure stream settings:\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eChoose the metrics to stream, such as specific namespaces or all available metrics.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style=\"font-size: 12pt;\"\u003eIn the \u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eDestination\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e section, select \u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eQuick Amazon Web Services Partner setup\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"color: rgb(22, 25, 31);font-size: 12pt;\"\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003eas the destination for the metrics stream.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e"}],"_metadata":{"uid":"cs525e49440667dc23"}}},{"image":{"image":{"uid":"bltad972a8046fa5732","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T16:20:28.557Z","created_by":"bltb6c155cd84fc0c1a","file_size":"525749","filename":"image7.png","parent_uid":null,"tags":[],"title":"image7.png","updated_at":"2024-11-26T16:20:28.557Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:01.030Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltad972a8046fa5732/6745f54c434d823d9944f816/image7.png"},"_metadata":{"uid":"cs7d7fd66a21af868a"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs8c95bf08db9dbb2f"},"header_style":"H2","paragraph_l10n":"\u003cul\u003e\u003cli\u003e\u003cspan style=\"font-size: 12pt;\"\u003eChoose \u003c/span\u003e\u003cspan style=\"color: rgb(22, 25, 31);font-size: 12pt;\"\u003e\u003cstrong\u003eElastic\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"color: rgb(22, 25, 31);font-size: 12pt;\"\u003e in the dropdown Amazon Web Services Partner destination and provide the Elastic endpoint URL and API key.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e"}],"_metadata":{"uid":"cs8e6b1b7607fa9d09"}}},{"image":{"image":{"uid":"bltcf708eeccbc2ac24","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T16:20:59.509Z","created_by":"bltb6c155cd84fc0c1a","file_size":"335530","filename":"image5.png","parent_uid":null,"tags":[],"title":"image5.png","updated_at":"2024-11-26T16:20:59.509Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:00.970Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltcf708eeccbc2ac24/6745f56b35ea3e30dd1bdb82/image5.png"},"_metadata":{"uid":"cs308fb4ab6f2e14d9"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"csc99aba52c32b9d4e"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003e4. Stream settings:\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs07c73d7823361913"}}},{"image":{"image":{"uid":"blt82f1ff110d24b73c","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T16:21:29.067Z","created_by":"bltb6c155cd84fc0c1a","file_size":"392667","filename":"image1.png","parent_uid":null,"tags":[],"title":"image1.png","updated_at":"2024-11-26T16:21:29.067Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:01.103Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt82f1ff110d24b73c/6745f5894d7c430a9bf62208/image1.png"},"_metadata":{"uid":"csc74e3d82a972899f"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs9ff2d61982165eef"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003e5. Review and create:\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cspan style='font-size: 12pt;'\u003eReview the configuration and click \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eCreate metric stream\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e"}],"_metadata":{"uid":"cs12b27a7364b684c0"}}},{"image":{"image":{"uid":"blt47a78eba366f8412","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T16:22:04.921Z","created_by":"bltb6c155cd84fc0c1a","file_size":"293700","filename":"image4.png","parent_uid":null,"tags":[],"title":"image4.png","updated_at":"2024-11-26T16:22:04.921Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:01.019Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt47a78eba366f8412/6745f5acd2a883f2f73e8704/image4.png"},"_metadata":{"uid":"cs4c925dc3f25bb176"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs739caebeb52ef80c"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eOnce the metric stream is created, CloudWatch will begin streaming the selected metrics to your Elastic Cloud instance in real time.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Step 3: Execute a Lambda function to generate CloudWatch metrics","_metadata":{"uid":"cs65fb01d7b94f9dd6"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eExecute an AWS Lambda function or run an EC2 compute instance that has your application code. You can now navigate to CloudWatch metrics to observe the current metrics being generated. For example, for AWS Lambda, you can see that the CloudWatch metrics are being generated, and here, you can see there are 130 invocations.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs198ffa625712cf40"}}},{"image":{"image":{"uid":"blt7dbc0baabfdcab89","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T16:22:48.827Z","created_by":"bltb6c155cd84fc0c1a","file_size":"124520","filename":"image6.png","parent_uid":null,"tags":[],"title":"image6.png","updated_at":"2024-11-26T16:22:48.827Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:00.955Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt7dbc0baabfdcab89/6745f5d8ef6d5a644c22758f/image6.png"},"_metadata":{"uid":"cs48fcf17ac026dda9"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"Step 4: Verify data in Elastic","_metadata":{"uid":"cscf70f6c464133ad2"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAfter a few minutes, metrics should start appearing in your Elastic cluster. To verify:\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eNavigate within Elastic to Kibana\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eNavigate to Elastic integrations\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eOnce you're in Kibana, go to the \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eManagement\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e section in the left-hand menu. Under \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eManagement,\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e click on \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eIntegrations\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eSearch for Amazon Kinesis Data Firehose\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn the \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eIntegrations\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e section, use the search bar to find \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eAmazon Kinesis Data Firehose.\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eSelect the integration\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eClick on the \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eAmazon Kinesis Data Firehose\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e integration from the list.\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eGo to integration settings\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eOnce you've clicked on the integration, navigate to the \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eSettings\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e section where you can configure the integration.\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eInstall necessary assets\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eFollow the on-screen instructions to install any required assets for the integration.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cbr /\u003eIn Kibana, use the left-hand menu to select \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eManagement\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003eThen, go to the \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eIndex Management \u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003esection and verify the name of your CloudWatch metrics stream under data streams.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eUse the left-hand menu to select \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eDashboards\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e under \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eAnalytics\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e to create and view all the dashboards for your AWS usage. Search for “Metrics AWS” and select the \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003e[Metrics AWS] Usage Overview\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e dashboard.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs274eba7586c4565f"}}},{"image":{"image":{"uid":"blt94a67e37669abde4","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T16:25:00.300Z","created_by":"bltb6c155cd84fc0c1a","file_size":"329998","filename":"image2.png","parent_uid":null,"tags":[],"title":"image2.png","updated_at":"2024-11-26T16:25:00.300Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:01.043Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt94a67e37669abde4/6745f65c4b0ed13be1e1c683/image2.png"},"_metadata":{"uid":"csbfea193830e5b188"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs0131969743c7b3e5"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAs you can see below, the same 130 invocations of the AWS Lambda function that you observed in the Amazon web console are streamed back into Elastic successfully.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs47d3dfe4e1b43475"}}},{"image":{"image":{"uid":"blt41e418c6cc2bb47d","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T16:25:28.843Z","created_by":"bltb6c155cd84fc0c1a","file_size":"220029","filename":"image3.png","parent_uid":null,"tags":[],"title":"image3.png","updated_at":"2024-11-26T16:25:28.843Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:01.007Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt41e418c6cc2bb47d/6745f67857ceff752ec93a6e/image3.png"},"_metadata":{"uid":"cs2357a85e88e48cd0"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"csbaa6d56d0f6b7fbc"},"header_style":"H2","paragraph_l10n":"\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eExplore the metrics\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eOnce the index is created, you can query and visualize the data in Kibana.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eUse Kibana dashboards to create visualizations that combine CloudWatch metrics with logs or other data sources to gain better operational insights.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/li\u003e\u003c/ul\u003e"},{"title_l10n":"Step 5: Create dashboards and alerts","_metadata":{"uid":"csa96063c28876de57"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWith your metrics now streaming to Elastic, you can:\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eBuild custom dashboards\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e in Kibana for visual insights into your AWS environment’s health.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eSet up alerts\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e for specific thresholds or anomalies detected in the data.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eUse the Elastic AI Assistant\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e to analyze alerts, such as high CPU usage in Amazon EC2 or Amazon Kubernetes Service (EKS) instances, to optimize and fine-tune your application workloads and to reduce costs.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e"},{"title_l10n":"Stream your metrics to Elastic","_metadata":{"uid":"cs929794944dc2ac06"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIntegrating Amazon CloudWatch Metric Streams with Elastic unlocks the potential for real-time analytics, better operational insights, and seamless monitoring of your AWS resources. By streaming CloudWatch metrics to Elasticsearch, you can use powerful querying and visualization features to optimize your infrastructure and applications. Whether you are looking to identify performance bottlenecks, track resource usage, or set up automated alerts, this integration provides the flexibility and scalability to meet your needs.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs874f485b9bbb90a1"}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs9964c91edb251a6e"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 10pt;'\u003e\u003cem\u003eThe release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs4f7844799918964f"}}}],"publish_date":"2024-11-26","sanity_migration_complete":false,"seo":{"seo_title_l10n":"Stream AWS metrics to Elastic using Amazon CloudWatch Metric Streams","seo_description_l10n":"","seo_image":null,"noindex":false,"canonical_tag":""},"subtitle_l10n":"","table_of_contents":{"blog_series":[]},"tags":[],"tags_culture":[],"tags_elastic_stack":["blt3d820a0eae1c9158","blt39140cf3e2cd4550","blt4ce45bbfeeff0638"],"tags_industry":[],"tags_partner":[{"uid":"blt5b5a3dd3ee2ae4bd","_content_type_uid":"tags_partner"}],"tags_topic":[{"uid":"blt5da20aee1a072f80","_content_type_uid":"tags_topic"},{"uid":"blt4f82459203f5a666","_content_type_uid":"tags_topic"},{"uid":"bltb1d5b7df835c3535","_content_type_uid":"tags_topic"},{"uid":"bltf38f037a2b6ecb4e","_content_type_uid":"tags_topic"},{"uid":"blt018d981515b9a4fd","_content_type_uid":"tags_topic"}],"tags_use_case":["bltb249a1eeba77b317","bltbc86a233655f4b8e","bltcb543cd010a1e2a8","blt49d4b623ebdfdd90","blt2e5ece40473e6b0a","blt60e4f8c6c19cebb7","blt8a7a5ea52ac5d888"],"thumbnail_image":{"uid":"bltcb82f8bd7960ed62","_version":1,"is_dir":false,"ACL":{},"content_type":"image/jpeg","created_at":"2024-11-26T16:28:55.149Z","created_by":"bltb6c155cd84fc0c1a","file_size":"72330","filename":"09-road_(1).jpeg","parent_uid":null,"tags":[],"title":"09-road (1).jpeg","updated_at":"2024-11-26T16:28:55.149Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T16:59:00.942Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltcb82f8bd7960ed62/6745f7470da03c76e5b53649/09-road_(1).jpeg"},"title":"Stream AWS metrics to Elastic using Amazon CloudWatch Metric Streams","title_l10n":"Stream AWS metrics to Elastic using Amazon CloudWatch Metric Streams","updated_at":"2024-11-30T01:23:01.712Z","updated_by":"bltb6c155cd84fc0c1a","url":"/blog/elastic-aws-amazon-cloudwatch-metric-streams","publish_details":{"time":"2024-11-30T01:23:07.828Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}},{"uid":"blt952b043faa8adcc2","_version":2,"locale":"en-us","ACL":{},"abstract_l10n":"Learn how to view the ILM history index, filter to issues, and set up monitoring to alert when intervention is required. ","author":[{"uid":"bltddff0459e563bc78","_version":2,"locale":"en-us","ACL":{},"company_l10n":"Elastic","created_at":"2021-04-23T19:30:41.537Z","created_by":"bltda02bad9f9f792f1","email_id":"","facebook_id":"","first_name":"Stef","image":null,"job_title_l10n":"Principal Support Engineer","key":"","last_name":"Nestor","linkedin_id":"","paragraph_l10n":"","subtitle_l10n":"","tags":[],"title":"Stef Nestor","twitter_id":"","updated_at":"2023-10-18T20:16:29.581Z","updated_by":"bltd9765be97bbed20c","publish_details":{"time":"2023-10-18T20:16:35.435Z","user":"bltd9765be97bbed20c","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}}],"category":["blte5cc8450a098ce5e"],"created_at":"2024-11-26T19:53:33.071Z","created_by":"bltb6c155cd84fc0c1a","markdown_l10n":"","modular_blocks":[{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs07ba416a7f8935f9"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eHowdy, all! In a \u003c/span\u003e\u003ca href=\"https://www.elastic.co/blog/troubleshooting-elasticsearch-ilm-common-issues-and-fixes\"\u003e\u003cspan style='font-size: 12pt;'\u003eprevious blog\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, we outlined common \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/index-lifecycle-management.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eindex lifecycle management (ILM)\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e issues and their resolutions. We’ve since added these common scenarios into our \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/master/index-lifecycle-error-handling.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eElasticsearch documentation\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e with example walkthrough videos. Here, we’ll expand on the \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-settings.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eILM history index\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e to demonstrate how to use it during troubleshooting and to set up proactive alerting when intervention is needed.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"ILM theory","_metadata":{"uid":"cs073c58892cd6926f"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eILM automates \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/overview-index-lifecycle-management.html\"\u003e\u003cspan style='font-size: 12pt;'\u003ecommon administrative tasks\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e through logic and time delays, like rotating ingest to a new index, aging indices through hardware temperatures, and removing data after its retention period.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eTo protect data integrity, ILM \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-index-lifecycle.html\"\u003e\u003cspan style='font-size: 12pt;'\u003esequentially performs\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e these requested phases and their actions. Unlike some other industry tools, this means that if an index catches on a step, ILM will not proceed the index to a sequential step until the current issue has been resolved. This avoids midstates for advanced actions and is protective, for example, when an index’s \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/set-up-lifecycle-policy.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eILM policy\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e is marked to \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-wait-for-snapshot.html\"\u003e\u003cspan style='font-size: 12pt;'\u003ewait for snapshot\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e before \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-delete.html\"\u003e\u003cspan style='font-size: 12pt;'\u003edeletion\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e in order to guarantee data is captured in a backup for compliance.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"History index","_metadata":{"uid":"cs6651235436b98a3e"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThe ILM history index \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eilm-history-*\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e stores the historical summary of indices’ \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-explain-lifecycle.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eILM explain\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e data. It is enabled by default under the \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-settings.html\"\u003e\u003cspan style='font-size: 12pt;'\u003esetting\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eindices.lifecycle.history_index_enabled\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e. You can view this data in Kibana by creating a \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/data-views.html\"\u003e\u003cspan style='font-size: 12pt;'\u003edata view\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e against this index pattern. For example, under \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eCreate data view\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, we will target the index pattern \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eilm-history-7\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs5f62687cf19c4c9d"}}},{"image":{"image":{"uid":"bltcece50de2863f168","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:34:59.462Z","created_by":"bltb6c155cd84fc0c1a","file_size":"231706","filename":"1.png","parent_uid":null,"tags":[],"title":"1.png","updated_at":"2024-11-26T19:34:59.462Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.934Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltcece50de2863f168/674622e335ea3e25251bdcee/1.png"},"_metadata":{"uid":"cs71e01e5180ea1acf"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"csb04f67606c4bf724"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eOnce created, we can review data under \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/discover.html\"\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eDiscover\u003c/strong\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. I prefer to browse the created index pattern by\u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/discover.html#explore-fields-in-your-data\"\u003e\u003cspan style='font-size: 12pt;'\u003e toggling the table columns\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e: [\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eindex\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003epolicy\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003estate.phase\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003estate.action\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003estate.step\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003esuccess,error_details\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e].\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cse18673031e2a3605"}}},{"image":{"image":{"uid":"blt05c06577f19c0626","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:35:13.493Z","created_by":"bltb6c155cd84fc0c1a","file_size":"306372","filename":"2.png","parent_uid":null,"tags":[],"title":"2.png","updated_at":"2024-11-26T19:35:13.493Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.914Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt05c06577f19c0626/674622f183dc3e3004b778a4/2.png"},"_metadata":{"uid":"cs044966b653c5ab46"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs77dddf5cc9f4f510"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThis log is helpful when troubleshooting why indices historically were experiencing issues performing their step, such as a \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-rollover.html\"\u003e\u003cspan style='font-size: 12pt;'\u003erollover\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e encountering \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/master/index-lifecycle-error-handling.html#_setting_index_lifecycle_rollover_alias_for_index_y_is_empty_or_not_defined\"\u003e\u003cspan style='font-size: 12pt;'\u003eerror\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003esetting [index.lifecycle.rollover_alias] for index [x] is empty or not defined\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThis can also be helpful to review if indices stayed on particular subactions longer than expected. For example, extended duration on \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-migrate.html\"\u003e\u003cspan style='font-size: 12pt;'\u003emigrate\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e may indicate cluster or network strain. Alternatively, extended time in \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-wait-for-snapshot.html\"\u003e\u003cspan style='font-size: 12pt;'\u003ewait for snapshot\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e may indicate \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/snapshots-register-repository.html\"\u003e\u003cspan style='font-size: 12pt;'\u003erepository\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e health issues.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eSimilar ILM information is logged into \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/logging.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eElasticsearch cluster logs\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e but in a different format. Both are equally valid for troubleshooting. I find users prefer to retain ILM history longer than cluster logs for compliance reasons. Let’s show the similarities! Under \u003c/span\u003e\u003ca href=\"https://cloud.elastic.co\"\u003e\u003cspan style='font-size: 12pt;'\u003eElastic Cloud\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, I enabled \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/cloud/current/ec-monitoring-setup.html\"\u003e\u003cspan style='font-size: 12pt;'\u003elogs and metrics\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e so that I can create a data view against \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eelastic-cloud-logs-8\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs44890314cad16ddf"}}},{"image":{"image":{"uid":"blt17301e287ec6b72d","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:35:22.307Z","created_by":"bltb6c155cd84fc0c1a","file_size":"262565","filename":"3.png","parent_uid":null,"tags":[],"title":"3.png","updated_at":"2024-11-26T19:35:22.307Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:01.014Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt17301e287ec6b72d/674622fab09fe947fac05aed/3.png"},"_metadata":{"uid":"csf3b24b6e0f89ea18"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs50c7783f82f5be5f"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThen, in \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eDiscover\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, I can filter to \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003elog.logger: \"org.elasticsearch.xpack.ilm.IndexLifecycleRunner\"\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs8405ed15652fb99b"}}},{"image":{"image":{"uid":"blte3850799426ba75c","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:38:31.297Z","created_by":"bltb6c155cd84fc0c1a","file_size":"327457","filename":"4.png","parent_uid":null,"tags":[],"title":"4.png","updated_at":"2024-11-26T19:38:31.297Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.966Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blte3850799426ba75c/674623b7799856c57be22278/4.png"},"_metadata":{"uid":"cs58cb0d358ce8d24c"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs4285396047c9411d"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eYou’ll notice the 10-minute periodicity, which is answered by ILM’s \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-settings.html\"\u003e\u003cspan style='font-size: 12pt;'\u003esetting\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eindices.lifecycle.poll_interval\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e value.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Check for issues","_metadata":{"uid":"cs99459fe99397d147"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWe recommend using the \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/health-api.html#health-api-response-details-ilm\"\u003e\u003cspan style='font-size: 12pt;'\u003eHealth API\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e introduced in v8.7 to check for active ILM issues. This reports against both errors and stagnated steps, so it is more thorough than scrolling through \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/current/ilm-explain-lifecycle.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eILM explain\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. A healthy result from \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/master/console-kibana.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eDev Tools\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e appears:\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cse778db3e6ca10edb"}}},{"image":{"image":{"uid":"blt9d6f7e93633c0c9d","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:39:35.745Z","created_by":"bltb6c155cd84fc0c1a","file_size":"193984","filename":"5.png","parent_uid":null,"tags":[],"title":"5.png","updated_at":"2024-11-26T19:39:35.745Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.995Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt9d6f7e93633c0c9d/674623f75a3b43846435c3ad/5.png"},"_metadata":{"uid":"cs56bf0469bc75d18b"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"csdaa8266679fd8ad0"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic Cloud loads this information into its deployment health, which reports:\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs14ba141b5f26e249"}}},{"image":{"image":{"uid":"blt132d97720548b1f8","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:39:55.890Z","created_by":"bltb6c155cd84fc0c1a","file_size":"238394","filename":"6.png","parent_uid":null,"tags":[],"title":"6.png","updated_at":"2024-11-26T19:39:55.890Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.945Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt132d97720548b1f8/6746240b64eb63930ed724f8/6.png"},"_metadata":{"uid":"cseb6f16e9ccf34956"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"csbb75e70555b90749"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAn example of an unhealthy report from Dev Tools appears:\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs0e33b995fe424c2e"}}},{"image":{"image":{"uid":"bltfb8649280fa92a4e","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:40:02.889Z","created_by":"bltb6c155cd84fc0c1a","file_size":"324373","filename":"7.png","parent_uid":null,"tags":[],"title":"7.png","updated_at":"2024-11-26T19:40:02.889Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.924Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltfb8649280fa92a4e/67462412ef6d5a834422773b/7.png"},"_metadata":{"uid":"csc0b7d80c39817348"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs11f214b7aa58779d"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic Cloud correspondingly reports:\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs8fb9e9d1bea80299"}}},{"image":{"image":{"uid":"blt7be07b2dc5317cd0","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:40:11.039Z","created_by":"bltb6c155cd84fc0c1a","file_size":"261231","filename":"8.png","parent_uid":null,"tags":[],"title":"8.png","updated_at":"2024-11-26T19:40:11.039Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:01.024Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt7be07b2dc5317cd0/6746241b55b7a3592f80deff/8.png"},"_metadata":{"uid":"cs6da8c3452ef02e2a"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"Monitor errors","_metadata":{"uid":"cs4a5f7ceb5bda5eab"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWe recommend setting up monitoring \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/create-and-manage-rules.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eKibana rules\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e to be notified when intervention is needed to rectify an index’s ILM error, so it can then proceed through its lifecycle. This setup is on top of \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/xpack-monitoring.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eStack Monitoring\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e and its \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/kibana-alerts.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eother performance alerts\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAs an example, under \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eCreate Rule\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, we’ll select \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003eStack Alerts\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, then choose type \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/rule-type-es-query.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eElasticsearch query\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs8c79d43135bdebc3"}}},{"image":{"image":{"uid":"blta756feb57bf1b358","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:40:19.373Z","created_by":"bltb6c155cd84fc0c1a","file_size":"275330","filename":"9.png","parent_uid":null,"tags":[],"title":"9.png","updated_at":"2024-11-26T19:40:19.373Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.975Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blta756feb57bf1b358/6746242331c3825b5e8d1b1a/9.png"},"_metadata":{"uid":"cs89692614e474d06a"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs572005ca0b4e98f6"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWe’ll give our rule a name “ILM erring.” Scrolling down, we’ll target data view \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eilm-history-7\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e with Lucene query \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003eerror AND log.logger:\"org.elasticsearch.xpack.ilm.IndexLifecycleRunner\"\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e. For our example, we want to be notified for any matches, so we will set the threshold to “is above 1.”\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs02b89411d5712ab3"}}},{"image":{"image":{"uid":"blt910180ea9b66d434","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:40:27.263Z","created_by":"bltb6c155cd84fc0c1a","file_size":"274422","filename":"10.png","parent_uid":null,"tags":[],"title":"10.png","updated_at":"2024-11-26T19:40:27.263Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:01.004Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt910180ea9b66d434/6746242bc63c389f4a2ee25c/10.png"},"_metadata":{"uid":"csb028121bf8a5b651"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs3017e9ab1f6cdb1f"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eFurther down, we’ll enable a notification \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/kibana/current/action-types.html\"\u003e\u003cspan style='font-size: 12pt;'\u003eaction\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. For our example, we’ll use Elastic Cloud’s built-in SMTP server to email our on-call distribution email.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"csdb35abdbabd2216b"}}},{"image":{"image":{"uid":"bltc497d0dd60f64f9a","_version":1,"is_dir":false,"ACL":{},"content_type":"image/png","created_at":"2024-11-26T19:40:33.824Z","created_by":"bltb6c155cd84fc0c1a","file_size":"266368","filename":"11.png","parent_uid":null,"tags":[],"title":"11.png","updated_at":"2024-11-26T19:40:33.824Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.956Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltc497d0dd60f64f9a/674624319457b57c8f437d68/11.png"},"_metadata":{"uid":"cs23ac54eae11ba610"},"caption_l10n":"","alt_text_l10n":"","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs69a94cca965f5ef1"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAnd that’s it! The example team will now be notified when intervention is required to keep ILM healthy by using the ILM history index. When your team is notified, they may be interested in our \u003c/span\u003e\u003ca href=\"https://www.youtube.com/watch?v=VCIqkji3IwY\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003ewalkthrough video on checking ILM Health\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e and our \u003c/span\u003e\u003ca href=\"https://www.elastic.co/guide/en/elasticsearch/reference/master/index-lifecycle-error-handling.html#_setting_index_lifecycle_rollover_alias_for_index_y_is_empty_or_not_defined\"\u003e\u003cspan style='font-size: 12pt;'\u003ecommon setup issues and resolutions\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. Here’s to a quiet on-call for us all!\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs60de14bf45125079"}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs043a6b6fb9aa0e55"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 10pt;\"\u003e\u003cem\u003eThe release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs72202d4c4fccf60e"}}}],"publish_date":"2024-11-29","sanity_migration_complete":false,"seo":{"seo_title_l10n":"","seo_description_l10n":"","seo_image":null,"noindex":false,"canonical_tag":""},"subtitle_l10n":"","table_of_contents":{"blog_series":[]},"tags":[],"tags_culture":[],"tags_elastic_stack":["bltc3067ddccda555c1","blt4ce45bbfeeff0638"],"tags_industry":[],"tags_partner":[],"tags_topic":[{"uid":"blt3184f3496194138e","_content_type_uid":"tags_topic"}],"tags_use_case":["bltbc86a233655f4b8e"],"thumbnail_image":{"uid":"blt7f695e8ab7610f31","_version":1,"is_dir":false,"ACL":{},"content_type":"image/jpeg","created_at":"2024-11-26T19:53:30.812Z","created_by":"bltb6c155cd84fc0c1a","file_size":"180644","filename":"139686_-_Elastic_-_Headers_-_V1-4_(1).jpg","parent_uid":null,"tags":[],"title":"139686 - Elastic - Headers - V1-4 (1).jpg","updated_at":"2024-11-26T19:53:30.812Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-29T14:00:00.985Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt7f695e8ab7610f31/6746273a90460d6873eeba5f/139686_-_Elastic_-_Headers_-_V1-4_(1).jpg"},"title":"Monitoring Elasticsearch index lifecycle management with the history index","title_l10n":"Monitoring Elasticsearch index lifecycle management with the history index","updated_at":"2024-11-26T19:56:06.993Z","updated_by":"bltb6c155cd84fc0c1a","url":"/blog/elasticsearch-index-lifecycle-management-history-index","publish_details":{"time":"2024-11-29T14:00:00.886Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}},{"uid":"blt6588745a7555e523","_version":4,"locale":"en-us","ACL":{},"abstract_l10n":"This blog explores how to build a powerful retrieval augmented generation (RAG) system that incorporates geospatial data using Elasticsearch, Amazon Bedrock, and LangChain.","author":[{"_version":8,"locale":"en-us","uid":"blt5913558de3429222","ACL":{},"company_l10n":"Elastic","created_at":"2021-08-16T20:09:28.349Z","created_by":"blt3044324473ef223b70bc674c","email_id":"","facebook_id":"","first_name":"Udayasimha","image":{"parent_uid":null,"uid":"blt3988862df514f3c5","created_by":"blt36e890d06c5ec32c","updated_by":"blt36e890d06c5ec32c","created_at":"2021-08-05T19:09:53.110Z","updated_at":"2021-08-05T19:09:53.110Z","content_type":"image/jpeg","file_size":"34283","filename":"headshot-uday-theepireddy-300x300.jpg","title":"headshot-uday-theepireddy-300x300.jpg","ACL":{},"_version":1,"is_dir":false,"tags":[],"publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2021-08-16T20:12:07.950Z","user":"blt3044324473ef223b70bc674c"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt3988862df514f3c5/610c37814df16d3d6de3d025/headshot-uday-theepireddy-300x300.jpg"},"job_title_l10n":"Senior Principal Solution Architect","key":"udayasimha-theepireddy","last_name":"Theepireddy (Uday)","linkedin_id":"","paragraph_l10n":"","subtitle_l10n":"","tags":[],"title":"Udayasimha Theepireddy (Uday)","twitter_id":"","updated_at":"2023-06-30T16:38:29.518Z","updated_by":"bltd9765be97bbed20c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-06-30T16:38:33.145Z","user":"bltd9765be97bbed20c"}},{"uid":"blt2e7c8afc9665fff8","_version":2,"locale":"en-us","ACL":{},"company_l10n":"AWS","created_at":"2024-11-26T15:03:30.023Z","created_by":"bltb6c155cd84fc0c1a","email_id":"","facebook_id":"","first_name":"Srinivas","image":{"uid":"blta9eaebc5fb2e3051","_version":1,"title":"srinivas-aws.jpeg","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T17:22:53.954Z","updated_at":"2024-11-26T17:22:53.954Z","content_type":"image/jpeg","file_size":"83174","filename":"srinivas-aws.jpeg","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T17:24:14.117Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blta9eaebc5fb2e3051/674603ed56ed54255312bcaa/srinivas-aws.jpeg"},"job_title_l10n":"Sr. Partner Solutions Architect — GenAI and Data","key":"","last_name":"Pendyala","linkedin_id":"","paragraph_l10n":"\u003cp\u003eSrinivas Pendyala brings over 20 years of experience in enterprise technology solutions. He currently works at Amazon Web Services (AWS) as a senior partner solutions architect, focusing on data and generative AI. In this role, Srinivas strengthens technology alliances between AWS and Independent Software Vendors (ISVs), driving value for customers using AWS products with partners.\u003c/p\u003e\u003cp\u003e\u0026nbsp;\u003c/p\u003e\u003cp\u003eBefore joining AWS, Srinivas spent three years at Redis and seven years at Cloudera. At these companies, he managed ISV partnership programs in data engineering, integration, analytics, and machine learning. His expertise spans big data, mobility, and cloud computing solutions for Fortune 500 companies.\u003c/p\u003e\u003cp\u003e\u0026nbsp;\u003c/p\u003e\u003cp\u003eSrinivas is particularly passionate about distributed computing and NoSQL databases. His technical leadership has consistently delivered innovative solutions in these areas throughout his career.\u003c/p\u003e","subtitle_l10n":"","tags":[],"title":"Srinivas Pendyala, AWS","twitter_id":"","updated_at":"2024-11-26T17:24:08.697Z","updated_by":"bltb6c155cd84fc0c1a","publish_details":{"time":"2024-11-26T17:24:14.013Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}},{"uid":"blt142606b9c3d7b6aa","_version":2,"locale":"en-us","ACL":{},"company_l10n":"AWS","created_at":"2023-06-09T13:56:45.238Z","created_by":"blt3044324473ef223b70bc674c","email_id":"","facebook_id":"","first_name":"Ayan","image":{"uid":"blt383896023c0a5d5f","created_by":"blt3044324473ef223b70bc674c","updated_by":"blt3044324473ef223b70bc674c","created_at":"2023-06-09T13:56:43.714Z","updated_at":"2023-06-09T13:56:43.714Z","content_type":"image/jpeg","file_size":"28258","filename":"headshot-aws-ayan-ray-300x300.jpg","title":"headshot-aws-ayan-ray-300x300.jpg","ACL":{},"_version":1,"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-06-09T13:56:50.260Z","user":"blt3044324473ef223b70bc674c"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt383896023c0a5d5f/64832f9b74d5014f82014049/headshot-aws-ayan-ray-300x300.jpg"},"job_title_l10n":"Sr. Partner Solutions Architect, Generative AI","key":"","last_name":"Ray","linkedin_id":"","paragraph_l10n":"","subtitle_l10n":"","tags":[],"title":"Ayan Ray, AWS","twitter_id":"","updated_at":"2024-09-20T20:35:31.651Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"time":"2024-09-20T20:35:35.171Z","user":"blt3044324473ef223b70bc674c","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}}],"category":["blte5cc8450a098ce5e"],"created_at":"2024-11-26T15:44:19.352Z","created_by":"bltb6c155cd84fc0c1a","markdown_l10n":"","modular_blocks":[{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"csc1ada5f505153a5f"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWith Elasticsearch and its vector database, you can build configurable search and trusted generative AI (GenAI) experiences that scale from prototype to production fast. Key features include:\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eBuilt-in support for geospatial data, enabling fast queries of location-based information\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eVector database capabilities for storing, managing, and querying vector embeddings\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIntegration of traditional lexical search with geospatial and vector search functionalities\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic stands out by combining these features in a single data platform — \u003c/span\u003e\u003ca href=\"https://www.elastic.co/platform\"\u003e\u003cspan style='font-size: 12pt;'\u003ethe Elastic Search AI Platform\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. This trifecta integration facilitates modern generative AI use cases and provides significant value to customers by simplifying data management for enterprises.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn this blog post, we'll explore how to build a powerful retrieval augmented generation (RAG) system that incorporates geospatial data using Elasticsearch, Amazon Bedrock, and LangChain. This hybrid approach combines lexical search, geospatial queries, and vector similarity search to create an intelligent real estate assistant capable of providing personalized property recommendations.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Technology overview","_metadata":{"uid":"csb4db6bc49fe5765a"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThe integration of AI with geospatial data represents a significant advancement in information retrieval and decision support systems. Traditional search engines often struggle with location-based queries, but by combining the power of large language models (LLMs) with specialized geospatial databases, we can create more intelligent and context-aware applications.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003ca href=\"https://aws.amazon.com/bedrock/\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eAmazon Bedrock\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e gives the power of choice to developers to choose any of the industry leading foundation models (FMs) from the leading AI providers with simplified, unified APIs so that developers can build and scale generative AI applications in an enterprise.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic can store, run queries, and perform \u003c/span\u003e\u003ca href=\"https://www.elastic.co/geospatial\"\u003e\u003cspan style='font-size: 12pt;'\u003egeospatial analysis at Elastic speed and scale\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. Elastic is also a production-ready billion scale \u003c/span\u003e\u003ca href=\"https://www.elastic.co/elasticsearch/vector-database\"\u003e\u003cspan style='font-size: 12pt;'\u003evector database\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e. This enables users to create, store, and search vector embeddings within Elastic.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThis also brings up a unique feature of Elastic where you can combine traditional lexical search with geospatial querying capabilities and add on to those vector similarity searches to craft innovative generative AI applications.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn order to build an application from the ground up, let's look at RAG.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Retrieval augmented generation","_metadata":{"uid":"cs76dd4aaf9f1ecb8c"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eRAG is a powerful technique that enhances LLMs by integrating external knowledge sources. It improves the accuracy, relevance, and trustworthiness of LLM outputs without requiring model retraining.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eRAG also enhances text generation by incorporating information from private or proprietary data sources. This technique combines a retrieval model that searches large data sets or knowledge bases with a generation model like an LLM to produce readable text responses.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Application architecture","_metadata":{"uid":"csc3dd243e499e14ba"},"header_style":"H2","paragraph_l10n":""}],"_metadata":{"uid":"cs0d3b422c5c357e18"}}},{"image":{"image":{"uid":"blt08fd47f6f39775f4","_version":1,"title":"hybridgeospatial.png","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T15:15:12.989Z","updated_at":"2024-11-26T15:15:12.989Z","content_type":"image/png","file_size":"181033","filename":"hybridgeospatial.png","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.903Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt08fd47f6f39775f4/6745e600a1696b008379fde8/hybridgeospatial.png"},"_metadata":{"uid":"csd12b54063f28cb2b"},"caption_l10n":"","alt_text_l10n":"hybrid geospatial rag ","disable_lightbox":false,"remove_shadow":true,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"csb423c268501b5709"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003eThis reference architecture explains how to build a sample conversational AI assistant for the real estate industry using Elasticsearch, AWS Location Service, AWS Data Exchange, and Amazon Bedrock.\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 1:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The user submits a query about properties in an area — “Find me townhomes with a swimming pool within 2 miles of 33 Union Sq, Cupertino, CA.”\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 2:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The conversational AI assistant application calls the REST API through the Amazon API Gateway.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 3: \u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003eThe REST API makes a call to the AWS Lambda function forwarding the user prompt.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 4, 5:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The AWS Lambda function calls Anthropic Claude 3 Sonnet through Amazon Bedrock for extracting entities like address, distance, and type of property. It also generates embeddings of the keywords.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 6, 7:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The AWS Lambda function passes the address to AWS Location Service to get the corresponding geo-coordinates (geocoding).\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 8, 9:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The AWS Lambda function makes a hybrid geospatial call (keyword kNN + geo-distance) to Elasticsearch to retrieve relevant properties as context.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 10, 11:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The retrieved data is augmented with other relevant attributes of the location from data sources hosted in AWS Data Exchange.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 12, 13:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The retrieved and augmented data is passed as context to Anthropic Claude 3 Sonnet for generating a summary.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 14, 15, 16:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e The summary is passed back to the AI assistant and to the user.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e\u003cstrong\u003eStep 17:\u003c/strong\u003e\u003c/span\u003e\u003cspan style='color:rgb(35, 47, 60);font-size: 12pt;'\u003e Optionally, the details are also emailed using Amazon SES to the user.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e"},{"title_l10n":"Implementation details","_metadata":{"uid":"cs350c7a65a48e7b13"},"header_style":"H2","paragraph_l10n":""},{"title_l10n":"Use case","_metadata":{"uid":"csa90aa7ca7ede3f3f"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWe will develop a generative AI application to enhance the user experience in real estate property searches. This application features a conversational AI assistant that answers questions about property listings in our database. Users can interact with the assistant using natural language.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eFor example, a user might ask: \"Find a single family home near Frisco, TX within 5 miles with a backyard swimming pool.\"\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Named entity recognition (NER)","_metadata":{"uid":"cs7b4bc0c8f2f931ca"},"header_style":"H3","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eNER, or entity extraction, is a natural language processing technique that identifies and classifies named entities within text. NER algorithms detect and extract specific entities, such as person names, organizations, locations, dates, and custom categories, from unstructured text.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eIn our case, we will extract the search property location (example: San Francisco) in which a user is looking for the property type, such as \"Single family home\" or a \"Condominium\"; the distance within which these properties can be found; and any additional property features, such as a swimming pool in the backyard.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eWe create a prompt template with a single-shot prompting technique giving an example for the LLM on how to extract entities from the user entered prompt. Here is an \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L48\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003eexample code snippet\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e for our real estate property listing use case.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003eSteps\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eCreate a user \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L89C1-L90C56\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003eprompt template\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e and pass the end user prompt as an input variable.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eNext, \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L108-L111\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003einvoke Amazon Bedrock service\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e and pass the above inference to a LLM of your choice. In this case, we are using \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L45\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003eAnthropic Claude Sonnet 3\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e as an example.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eFor a given end user prompt as input, the output from the named entity recognition would be like:\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e\u003cp\u003e\u003c/p\u003e\u003ctable\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style=\"font-size: 12pt;\"\u003eInput user prompt\u003c/span\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style=\"font-size: 12pt;\"\u003e“Find me townhomes near Frisco, TX within 5 miles with a community swimming pool access”\u003c/span\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cbr /\u003eOutput (extracted entities):\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003c/span\u003e\u003c/p\u003e\u003ctable\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd\u003e\u003cspan style=\"font-size: 12pt;\"\u003eProgramming Language: JSON\u003c/span\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e{\u003cbr /\u003e\u003c/span\u003e \u003cspan style=\"font-size: 12pt;\"\u003e\"\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003esearch_property_type\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\": \"Townhouse\",\u003cbr /\u003e\u003c/span\u003e \u003cspan style=\"font-size: 12pt;\"\u003e\"\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003esearch_property_address\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\": \"Frisco, TX\",\u003c/span\u003e\u003cbr /\u003e\u003cspan style=\"font-size: 12pt;\"\u003e \"\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003esearch_property_radius\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\": \"5mi\",\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cbr /\u003e \"\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cstrong\u003esearch_property_features\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\": \"community swimming pool access\"\u003c/span\u003e\u003cbr /\u003e\u003cspan style=\"font-size: 12pt;\"\u003e}\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cbr /\u003eThe \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app\" target=\"_blank\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003estreamlit app\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e reflects this in the user interface as:\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs4f5da5fc5f05cef4"}}},{"image":{"image":{"uid":"blt87ed968d17665f9d","_version":1,"title":"image2.png","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T15:20:40.171Z","updated_at":"2024-11-26T15:20:40.171Z","content_type":"image/png","file_size":"225045","filename":"image2.png","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.878Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt87ed968d17665f9d/6745e7482eb39e3b39afab0d/image2.png"},"_metadata":{"uid":"cs3e78e4efd032739b"},"caption_l10n":"","alt_text_l10n":"hybrid geospatial rag using elastic and amazon bedrock","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":"width-large: 75%"}}},{"title_text":{"title_text":[{"title_l10n":"Geocoding using Amazon Location Service","_metadata":{"uid":"csf16fc28c49e2d6e2"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eGeocoding is the process of converting addresses like a street address into geographic coordinates (latitude and longitude), which can be used to place markers on a map or identify locations in spatial data. It helps map a physical location, such as \"1600 Pennsylvania Ave NW, Washington, DC,\" into its corresponding geographic coordinates, enabling applications like GPS navigation or any location-based services.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThe purpose of geocoding, in our case, is to convert the extracted geographical location from the user prompt into longitude and latitude so that these coordinates can be used to search for real estate property data in Elastic.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003ca href=\"https://aws.amazon.com/location/\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eAmazon Location Service\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e can be of help here in the geocoding process. Amazon Location Service is a mapping service that allows you to add geospatial data and location functionality to applications, including dynamic and static maps, places search and geocodes, route planning, and device tracking and geofencing capabilities.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eHere is the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L138C1-L170C20\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003esample code\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e from the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eStreamlit git repo\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e for geocoding using Amazon Location Service. The output generated from geocoding process will look like this in the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eStreamlit application\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e:\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs3fbbed6156cf14b3"}}},{"image":{"image":{"uid":"blt63e8d6124d0832c2","_version":1,"title":"image5.png","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T15:21:48.964Z","updated_at":"2024-11-26T15:21:48.964Z","content_type":"image/png","file_size":"224964","filename":"image5.png","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.864Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt63e8d6124d0832c2/6745e78c1621f66ca96e6a03/image5.png"},"_metadata":{"uid":"cs805600638b58e0eb"},"caption_l10n":"","alt_text_l10n":"geocoding using amazon location services at work","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":"width-large: 75%"}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs908effab6954e1d8"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAn important output detail that we get from the above geocoding process is the longitude and latitude coordinates, which can be used to perform a geospatial search for data in Elastic.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Hybrid geospatial query in Elastic","_metadata":{"uid":"csafe47b868b018c19"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eThe key feature of this application is Elastic's ability to perform a hybrid geospatial search. This search combines:\u003c/span\u003e\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eLexical search\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eGeospatial search\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003eVector similarity search\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e\u003cp\u003e\u003cspan style=\"font-size: 12pt;\"\u003e\u003cbr /\u003eElastic executes all of these search types in a single query, creating a powerful and efficient search capability. Here is the code snippet. You can also see this in the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L179C1-L217C10\"\u003e\u003cspan style=\"font-size: 12pt;\"\u003eGitHub repository\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"font-size: 12pt;\"\u003e.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"csa2d5d9c4bae958b9"}}},{"image":{"image":{"uid":"bltaf6d585d6b1de943","_version":1,"title":"Screenshot 2024-11-26 at 11.00.02 AM.png","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T16:01:22.211Z","updated_at":"2024-11-26T16:01:22.211Z","content_type":"image/png","file_size":"101553","filename":"Screenshot_2024-11-26_at_11.00.02_AM.png","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.851Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltaf6d585d6b1de943/6745f0d2c21e60732a261ff7/Screenshot_2024-11-26_at_11.00.02_AM.png"},"_metadata":{"uid":"csec08bbe4a9cdcc87"},"caption_l10n":"","alt_text_l10n":"Programming Language: Python 3.x screenshot","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs3b1b5a51d0b81669"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eNotice in the above code:\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003e#1\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, We are doing a traditional keyword-based lexical search. For example, we want to search for all listings that have \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003epropertyType\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e = “Townhome” properties in Elastic.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003e#2\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, We are doing a semantic search on the field \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003epropertyFeatures_v\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e which is a vector field that has the embeddings of the textual equivalent \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003epropertyFeatures\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cstrong\u003e#3\u003c/strong\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e, We are filtering all of the data using the geospatial coordinates (\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003egeo_coded_lat\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e and \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003egeo_coded_long\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e). In other words, for our Frisco, TX location, find all the real estate property listings within five miles.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eHere is how the streamlit app displays the output in the user interface.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs8f19a111b626f30e"}}},{"image":{"image":{"uid":"blt6f90793e60171b10","_version":1,"title":"image6.png","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T15:25:35.806Z","updated_at":"2024-11-26T15:25:35.806Z","content_type":"image/png","file_size":"306503","filename":"image6.png","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.838Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt6f90793e60171b10/6745e86f31c382242c8d193b/image6.png"},"_metadata":{"uid":"cs4c574a1b3f740d13"},"caption_l10n":"","alt_text_l10n":"chart","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"Run geospatial RAG","_metadata":{"uid":"cs4c5f2af676796085"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThe real estate properties data found from Elastic in the previous query is now passed as an additional context to the LLM via Amazon Bedrock to perform RAG, as \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L225C1-L263C51\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eshown here\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eA couple of things to observe in the code:\u003c/span\u003e\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eNotice how we are \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L422\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003epassing the results\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e we got from executing Elastic’s hybrid geospatial query as \u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e\u003cspan data-type='inlineCode'\u003econtext\u003c/span\u003e\u003c/span\u003e\u003cspan style='font-size: 12pt;'\u003e to RAG.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAgain, we are using a \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L225-L237\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eprompt template\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, and we will provide Elastic’s hybrid geospatial query results as the context.\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/blob/64c18ea61ed7f31fe46a19e690d60c956ab46c60/elastic/stream-lit-app/geo-spatial-rag-elastic-bedrock.py#L228\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eHere\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e, we are forcing the LLM to specifically answer only in the context of the data found in the Elastic’s query.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eThe output would be a precise recommendation by the LLM answering specifically in the context of knowledge provided as part of the RAG pipeline. Here is an example recommendation that the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eStreamlit application\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e user interface shows to the end user as a completed response.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"csc85bccd8139941f1"}}},{"image":{"image":{"uid":"blt08f88002f75d05e6","_version":1,"title":"image4.png","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T15:27:20.712Z","updated_at":"2024-11-26T15:27:20.712Z","content_type":"image/png","file_size":"542016","filename":"image4.png","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.916Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt08f88002f75d05e6/6745e8d8799856714de22088/image4.png"},"_metadata":{"uid":"csdd682183ff3fb189"},"caption_l10n":"","alt_text_l10n":"ai responses example","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":null}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs2082304c308637b3"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn addition, the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003estreamlit app\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e displays the geospatial results from Elastic plotted on a map, giving a pictorial understanding of where these real estate properties are located.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cse2f1f8e1ae7c6fec"}}},{"image":{"image":{"uid":"bltfe13de5366c6c81a","_version":1,"title":"image1.png","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T15:27:55.332Z","updated_at":"2024-11-26T15:27:55.332Z","content_type":"image/png","file_size":"3027730","filename":"image1.png","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.891Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltfe13de5366c6c81a/6745e8fb56ed5403fc12bb92/image1.png"},"_metadata":{"uid":"csee3b54deefbfcfc8"},"caption_l10n":"","alt_text_l10n":"real estate properties near frisco tx","disable_lightbox":false,"remove_shadow":false,"sizing":{"sizing_options":"width-large: 75%"}}},{"title_text":{"title_text":[{"title_l10n":"Streamlit app","_metadata":{"uid":"cs76d8199d9816e3e2"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAll of these concepts come together in the form of a streamlit app that showcases how to use Elasticsearch, Amazon Bedrock, Anthropic Claude 3, and Langchain to build a hybrid geospatial RAG solution that uses the geospatial features of Elastic.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eLearn more by checking out the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eGitHub repository\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e and the \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app#setup-instructions\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003esetup instructions\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Data augmentation using AWS Data Exchange","_metadata":{"uid":"cs1f3c1f4137f83d15"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003ca href=\"https://aws.amazon.com/data-exchange/?adx-cards2.sort-by=item.additionalFields.eventDate\u0026adx-cards2.sort-order=desc\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eAWS Data Exchange\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e is a service provided by AWS that enables you to find, subscribe to, and use third-party data sets in the AWS Cloud. You can further augment and enrich your data sets with additional data from AWS Data Exchange. For example, if you want to further enrich your real estate properties geospatial data with other points of interest data, such as hospitals, malls, or nearest pharmacies, AWS Data Exchange can be used.\u003c/span\u003e\u003c/p\u003e"},{"title_l10n":"Explore and integrate resources","_metadata":{"uid":"cs5125237a6dd5b441"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic and Amazon Bedrock simplify the development of complex RAG solutions using enterprise data. This combination offers:\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eElastic's hybrid geospatial semantic search capabilities\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eAccess to various foundation models through Amazon Bedrock\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eEasy building and scaling of generative AI applications\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eIn this post, we have:\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eOutlined the essential building blocks for a hybrid geospatial RAG solution\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eProvided code examples for implementation\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eShared a \u003c/span\u003e\u003ca href=\"https://github.com/aws-samples/aws-generativeai-partner-samples/tree/main/elastic/stream-lit-app\" target=\"_blank\"\u003e\u003cspan style='font-size: 12pt;'\u003eGitHub repository\u003c/span\u003e\u003c/a\u003e\u003cspan style='font-size: 12pt;'\u003e for hands-on experimentation\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 12pt;'\u003eWe encourage you to explore these resources and integrate them into your own projects.\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"csa78465700369f22e"}}},{"title_text":{"title_text":[{"title_l10n":"","_metadata":{"uid":"cs6400e8168021b054"},"header_style":"H2","paragraph_l10n":"\u003cp\u003e\u003cspan style='font-size: 10pt;'\u003e\u003cem\u003eThe release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 10pt;'\u003e\u003cem\u003eIn this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use.\u0026nbsp;\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cspan style='font-size: 10pt;'\u003e\u003cem\u003eElastic, Elasticsearch, ESRE, Elasticsearch Relevance Engine and associated marks are trademarks, logos or registered trademarks of Elasticsearch N.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e"}],"_metadata":{"uid":"cs036b63a209723bf9"}}}],"publish_date":"2024-11-26","sanity_migration_complete":false,"seo":{"seo_title_l10n":"Crafting a hybrid geospatial RAG application with Elastic and Amazon Bedrock","seo_description_l10n":"","seo_image":null,"noindex":false,"canonical_tag":""},"subtitle_l10n":"","table_of_contents":{"blog_series":[]},"tags":[],"tags_culture":[],"tags_elastic_stack":[],"tags_industry":[],"tags_partner":[{"uid":"blt5b5a3dd3ee2ae4bd","_content_type_uid":"tags_partner"}],"tags_topic":[{"uid":"bltbaad5df00a89fcb2","_content_type_uid":"tags_topic"},{"uid":"blt284682f193d93481","_content_type_uid":"tags_topic"},{"uid":"blt99b075caf3df4ca7","_content_type_uid":"tags_topic"},{"uid":"blt9085022a5c6c87e9","_content_type_uid":"tags_topic"},{"uid":"blt240c2986db0ba465","_content_type_uid":"tags_topic"},{"uid":"blt38a3af2dfebcb772","_content_type_uid":"tags_topic"}],"tags_use_case":["bltbc86a233655f4b8e","bltd609f5ed6cf2db23"],"thumbnail_image":{"uid":"blt4e527c4d30fc4d9d","_version":1,"title":"power-of-your-data.jpg","created_by":"bltb6c155cd84fc0c1a","updated_by":"bltb6c155cd84fc0c1a","created_at":"2024-11-26T15:44:17.786Z","updated_at":"2024-11-26T15:44:17.786Z","content_type":"image/jpeg","file_size":"157129","filename":"power-of-your-data.jpg","ACL":{},"parent_uid":null,"is_dir":false,"tags":[],"publish_details":{"time":"2024-11-26T16:02:41.795Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt4e527c4d30fc4d9d/6745ecd1278118edb95d6058/power-of-your-data.jpg"},"title":"Crafting a hybrid geospatial RAG application with Elastic and Amazon Bedrock","title_l10n":"Crafting a hybrid geospatial RAG application with Elastic and Amazon Bedrock","updated_at":"2024-11-26T16:01:24.140Z","updated_by":"bltb6c155cd84fc0c1a","url":"/blog/hybrid-geospatial-rag-application-elastic-amazon-bedrock","publish_details":{"time":"2024-11-26T16:02:41.334Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}}],1171],"publishedEntry":{"error_message":"Failed to fetch entry. Please try again with valid parameters.","error_code":141,"errors":{"environment":["is required."]}},"localCode":{"locales":[{"code":"en-us"},{"code":"es-419","localized":true},{"code":"es-mx","localized":true},{"code":"pt-br","localized":true},{"code":"zh-cn","localized":true},{"code":"ko-kr","localized":true},{"code":"ja-jp","localized":true},{"code":"fr-fr","localized":true},{"code":"de-de","localized":true}]},"local":"","blogFooter":{"_version":3,"locale":"en-us","uid":"bltb02649945991225b","ACL":{},"card_dark_mode":"","created_at":"2021-09-16T18:47:06.607Z","created_by":"blt3044324473ef223b70bc674c","cta":{"cta_title_l10n":"Start free trial","url":"https://cloud.elastic.co/registration"},"dark_mode":"","footer_banner_pattern":["bltd09c25f7c61963c6"],"icon_text_card":[],"marketo":{"marketo_load_id":"","success_message_l10n":"","call_cloud_api":false,"success_url":"","fallback":"","gdpr_text":[]},"paragraph_l10n":"\u003cp\u003eSpin up a fully loaded deployment on the cloud provider you choose. As the company behind \u003ca href=\"/elasticsearch\"\u003eElasticsearch\u003c/a\u003e, we bring our features and support to your Elastic clusters in the cloud.\u003c/p\u003e","tags":[],"title":"Blog Footer CTA","title_l10n":"Sign up for Elastic Cloud free trial","updated_at":"2023-09-19T21:32:16.067Z","updated_by":"blt36e890d06c5ec32c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-09-19T21:42:58.385Z","user":"blt36e890d06c5ec32c"}},"translateConRedesign":[[{"uid":"bltfb44eb6e899331a4","_version":1,"locale":"en-us","ACL":{},"created_at":"2024-11-13T23:43:06.196Z","created_by":"blt36e890d06c5ec32c","english_content":"Or","tags":[],"title":"Or","translate_content_l10n":"Or","updated_at":"2024-11-13T23:43:06.196Z","updated_by":"blt36e890d06c5ec32c","publish_details":{"time":"2024-11-13T23:44:21.198Z","user":"blt36e890d06c5ec32c","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}},{"uid":"blt2aeecde6c1729945","_version":4,"locale":"en-us","ACL":{},"created_at":"2023-01-26T21:09:02.610Z","created_by":"blt36e890d06c5ec32c","english_content":"Load more","tags":[],"title":"Load more","translate_content_l10n":"Load more","updated_at":"2024-09-03T16:41:46.744Z","updated_by":"blt36e890d06c5ec32c","publish_details":{"time":"2024-09-03T16:42:00.289Z","user":"blt36e890d06c5ec32c","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}},{"_version":1,"locale":"en-us","uid":"blt6f3ad4a078adc611","ACL":{},"created_at":"2024-05-28T12:47:25.539Z","created_by":"blt3e52848e0cb3c394","english_content":"Overview","tags":[],"title":"Overview","translate_content_l10n":"Overview","updated_at":"2024-05-28T12:47:25.539Z","updated_by":"blt3e52848e0cb3c394","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2024-05-28T12:47:29.022Z","user":"blt3e52848e0cb3c394"}},{"_version":4,"locale":"en-us","uid":"blt3b08c089ffd331e6","ACL":{},"created_at":"2023-01-26T21:09:09.267Z","created_by":"blt36e890d06c5ec32c","english_content":"Can't make it? Register and we'll send you the recording. You'll also receive an email with related content","tags":[],"title":"Can't make it? Register and we'll send you the recording. You'll also receive an email with related content","translate_content_l10n":"Can't make it? Register and we'll send you the recording. 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