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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 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"><div class=" Card_nav-card__Gb2bd Card_icon-card__IEL2U "><div class="Card_card-header__dLhyK"><a class="Card_custom-link__semnr" href="/customers"><div class="Card_card-image__34JYo"><div class=" Card_icon__VSCRq "><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltacc5e178e52f430e/647ccc7b6be35fb5eabd2100/icon-checkmark-decorative-border.svg" class="Card_img-fluid__EqrlH" alt=""/></div></div></a><a class="Card_custom-link__semnr" href="/customers"><h2 class="h5">By solution</h2></a><a class="Card_custom-link__semnr" href="/customers"></a><a class="Card_custom-link__semnr" href="/customers"></a></div><div class="Card_card-body__81rqO"><div><p>See how customers search, solve, and succeed — all on one Search AI Platform.</p></div><ul><li><a class="Card_dropdown-link__qZWTu" href="/customers/success-stories?usecase=enterprise-search&industry=All" tabindex="-1">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="/customers/success-stories?usecase=security-analytics&industry=All" tabindex="-1">Security<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="/customers/success-stories?usecase=elastic-observability&industry=All" tabindex="-1">Observability<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="/customers" tabindex="-1"><span class="jsx-1596590093 btn-copy">All customer stories</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="/industries"><div class="Card_card-image__34JYo"><div class=" Card_icon__VSCRq "><img src="https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt9f634b6f74878698/647ccc625637890f19859454/icon-briefcase.svg" class="Card_img-fluid__EqrlH" alt=""/></div></div></a><a class="Card_custom-link__semnr" href="/industries"><h2 class="h5">Industries</h2></a><a class="Card_custom-link__semnr" href="/industries"></a><a class="Card_custom-link__semnr" href="/industries"></a></div><div class="Card_card-body__81rqO"><div><p>Exceed customer expectations and go to market faster.</p></div><ul><li><a class="Card_dropdown-link__qZWTu" href="/industries/public-sector" tabindex="-1">Public sector<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="/industries/financial-services" tabindex="-1">Financial services<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="/industries/telecommunications" tabindex="-1">Telecommunications<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="/industries/retail-ecommerce" tabindex="-1">Retail<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="/industries/manufacturing" tabindex="-1">Manufacturing<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="/industries" tabindex="-1"><span class="jsx-1596590093 btn-copy">Industries 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_spotlight-feature___wj__"><div class=" Card_nav-card__Gb2bd undefined "><div class="Card_card-header__dLhyK"><h2 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 href="/static-res/images/generic-icons.svg#cta-arrow"></use></svg></a></div></div></div></div></div></div></div></div></div><div><button class="Items_navigation-items_item__7YSef navigation-item" aria-label="Resources, press down to open menu." aria-expanded="false">Resources<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 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style="background-image:linear-gradient(rgba(0, 85, 113, 0.5), rgba(0, 85, 113, 0.5)), url(https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltda2692d94f73c907/5ee92bb234f8f30c7cfb220f/blog-banner-telecom-tower.jpg);background-repeat:no-repeat;background-position:center;background-size:cover" class="jsx-123807844 hero-image py-8"><div class="jsx-123807844 container"><div class="jsx-123807844 full-bleed-image-wrapper"><div class="jsx-123807844 full-bleed-image"><span class="jsx-123807844 blog-date"><time dateTime="1592409600000">17 June 2020</time></span><a class="category-label label-product" href="/blog/category/product">Product</a><div class="jsx-1955866259 title-wrapper"><h1 tag="H1" id="telecommunications-observability-with-the-elastic-stack-monitoring-voice-traffic-data" class="jsx-1955866259 h3">Telecommunications observability with the Elastic Stack: Monitoring voice traffic data</h1></div><div class="jsx-123807844 author-name d-flex my-2 paragraph-medium"><span class="jsx-123807844 mr-1">By</span><div class="jsx-123807844 d-flex flex-wrap"><a href="/blog/author/piotr-kobziakowski">Piotr Kobziakowski</a></div></div><p class="jsx-123807844 share-label mb-1">Share</p><ul class="jsx-3582162638 horizontalLayout social-media"><li title="Share on Twitter" class="jsx-3582162638 social-btn twitter"><a href="#" alt="Share on Twitter"></a><span class="jsx-3582162638 sr-only">Share on Twitter</span></li><li title="Share on Facebook" class="jsx-3582162638 social-btn facebook"><a href="#" alt="Share on Facebook"></a><span class="jsx-3582162638 sr-only">Share on Facebook</span></li><li title="Share on LinkedIn" class="jsx-3582162638 social-btn linkedin"><a href="#" alt="Share on LinkedIn"></a><span class="jsx-3582162638 sr-only">Share on LinkedInr</span></li></ul></div></div></div></div><div class="layout layout-05"></div><div class="jsx-123807844 article-post-wrapper blog clearfix paragraph-medium"><div class="jsx-123807844 container"><div class="jsx-123807844 row"><div class="jsx-123807844 col-12 col-lg-9"><div class="jsx-123807844 paragraph-medium"><p>Applying an <a href="/observability">observability strategy</a> to core telecommunication data processing enables operators to answer questions that were not possible to answer before. As this approach has gained prominence, the <a href="/products">Elastic Stack</a> has become increasingly popular in the telecommunications space, with companies like Deutsche Telekom — their data transformation effort championed by Hans-Konrad Roth — adopting Elastic as their solution of choice for international traffic monitoring.</p><h2><strong>Monitoring voice traffic data with Elastic</strong></h2><p>Powered by <a href="/elasticsearch">Elasticsearch</a>, the Elastic Stack provides all three layers for processing information. Ingest pipelines (<a href="/security">Elastic Endpoint Security</a>, <a href="/beats">Beats</a>, and <a href="/logstash">Logstash</a>) enable users to rapidly integrate data from any data source and parse, normalise, and enrich it. Elasticsearch allows users to store, query, and analyze data with powerful features like <a href="/what-is/elasticsearch-machine-learning">out-of-the-box machine learning</a> capabilities. And — likely the most important to many end users — <a href="/kibana">Kibana provides a curated visualisation experience</a> with dedicated apps for <a href="/log-monitoring">logs</a>, <a href="/infrastructure-monitoring">metrics</a>, <a href="/apm">APM</a>, <a href="/siem">SIEM</a>, <a href="/maps">maps</a>, and more.</p><p>Where the Elastic Stack can significantly boost traditional operational work efficiency is transport network monitoring. Traditional systems are highly siloed, and correlating between different data sources is very difficult (if not impossible). Insights are limited to a single data source domain and do not provide a customer-centric view.</p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt5e91fdea479029de/5ee937da6aaf2924fd230671/blog-telecom-traffic-ownership.png" data-sys-asset-uid="blt5e91fdea479029de" style="display:block;margin:auto"/></p><figcaption>The most common data ownership split</figcaption><p>Changing the approach to collocate all information in a single analytical platform opens new ways to perform data analysis. It enables operators to map customer experience to service quality and later to system availability with a detailed view on failing components. Fraud detection and abuse of the network can be detected using the same data set and the same analytic capabilities. </p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt0314eebd4a7b5095/5ee93969688c1c62a49adb90/blog-telecom-traffic-collocation.png" data-sys-asset-uid="blt0314eebd4a7b5095" style="display:block;margin:auto"/></p><figcaption>An example of how a siloed environment can be collocated</figcaption><h3><strong>Making data ingest simple </strong></h3><p>Quite often, infrastructure data like KPIs, fault management, inventory information, or CDR/EDR data is stored in curated form in a RDBMS or Hadoop. One of the fastest ways to retrieve data from such a complex system and ingest it into the Elastic Stack is through direct integration with those systems. It is fairly easy to write necessary queries, and RDBMS also enable users to create views on data and make enrichment (joins) on SQL level. The same applies to Hadoop integration (Elastic provides an Elasticsearch-Hadoop connector).</p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt752a486ada0910e3/5ee9399d6b547b2c37e3a098/blog-telecom-traffic-rdbms-integration.png" data-sys-asset-uid="blt752a486ada0910e3" style="display:block;margin:auto"/></p><figcaption>Elastic RDBMS integration example</figcaption><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt20f2a3a02fa59c08/5ee939af688c1c62a49adb94/blog-telecom-traffic-hadoop-integration.png" data-sys-asset-uid="blt20f2a3a02fa59c08" style="display:block;margin:auto"/></p><figcaption>Elasticsearch-Hadoop integration</figcaption><p>Some organisations may not have this kind of advanced data warehouse setup. In such cases, Logstash and Beats enable users to ingest data directly from device logs like EDR, CDR, or signalling information from core network devices like MME.</p><h3><strong>Why is data enrichment important?</strong></h3><p>Most available systems provide a limited view, as they are specialised in just one area. Today, system capability enables organisations to store much more data — and, most importantly, process it faster. It is possible to merge multiple domains such as customer traffic, planning, inventory management, performance management, fault management, configuration management, software management, and environmental monitoring. </p><p>Having all of the information correlated in a document enables entirely new analytical possibilities, leading to much faster issue resolution and new discoveries.</p><p>Some examples of areas of interest which can be covered are: </p><ul><li>Understanding multi-factor influence on observed measurements<ul><li>Human factor contribution to error rate</li><li>Understanding network element performance by element type, vendor, location, and type of installation</li><li>The contribution of weather and environmental conditions to measurements</li></ul></li><li>Overview of the platform and surrounding systems and connections<ul><li>Much faster problem source identification (MTTR-1)</li></ul></li></ul><h3><strong>Storage and processing</strong></h3><p>Elasticsearch is the core of the Elastic Stack and is designed to store and analyze data. It can store any type of data, making it a great <a href="https://www.elastic.co/observability" target="_self">observability tool</a> for users to answer all possible questions based on their dataset. </p><h2>The basics of voice </h2><p>The most common logs operators get from the system in relation to voice traffic are CDRs (call data records). Getting CDRs to Elasticsearch requires slight preprocessing, especially focused on data enrichment. The final data should contain enough information to understand it and allow for deep insight. </p><p>There are a number of KPIs which can be derived from this dataset. Please look at a few examples of what kind of visualisations and analysis can be easily done.</p><h3>CDR (call drop ratio)</h3><ul><li>The number of calls disconnected due to platform failure</li><li>The number of all calls routed via the system</li></ul><h3>ACD (average call duration)</h3><ul><li>The average call duration per destination and product</li><li>The percentage of customers with an ACD over the average per destination and product</li></ul><h3>NER (network efficiency ratio)</h3><ul><li>The expression of the system’s ability to fulfill the call to a given destination </li><li>The percentage of customers with a lower NER than the average for the given destination</li></ul><p>The visualisation below is a representation of all the above-mentioned parameters. </p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blte6b77815af8cc86c/5ee93a1443f6b42a02431a58/blog-telecom-traffic-voice-kpis.jpg" data-sys-asset-uid="blte6b77815af8cc86c" style="display:block;margin:auto"/></p><h3>ASR (answer seizure ratio) </h3><p>The available views:</p><ul><li>The number of successful calls</li><li>The number of call attempts</li><li>The percentage of subscribers with lower ASR compared to the average per destination and direction</li></ul><p>The visualisations below represent the traffic monitoring for the top 10 destinations ASR / success rate.</p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltfae825b5e48da9c0/5ee93a3f1f2ce6607680400e/blog-telecom-traffic-dest-success.jpg" data-sys-asset-uid="bltfae825b5e48da9c0" style="display:block;margin:auto"/></p><h3>SIP traffic analysis</h3><p>The visualisations below represent the 500 failure codes summary. </p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt62f17b7acb0cd0c3/5ee93a5f688c1c62a49adb98/blog-telecom-traffic-failures.jpg" data-sys-asset-uid="blt62f17b7acb0cd0c3" style="display:block;margin:auto"/></p><h3>CLI (calling line identification)</h3><p>The available views:</p><ul><li>CLI per destination and product</li><li>Number and percentage of customers affected by non-CLI routes</li></ul><p>The visualisations below enable profiling by CLI on a different level to have a good understanding about the structure of a traffic stream.</p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt53a5fb4ec0f3c0df/5ee93a808d39260a3ded600f/blog-telecom-traffic-cli.jpg" data-sys-asset-uid="blt53a5fb4ec0f3c0df" style="display:block;margin:auto"/></p><h3>Calling/called number analysis</h3><p>The Elastic Stack enables users to build very detailed views of data. Profiling by calling/called number to have percent statistics is a simple step, and users can use Elasticsearch to perform more advanced aggregations and data partitioning by any of the available fields inside the data set.</p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltb32711db1768c0c9/5ee93a9f8d39260a3ded6013/blog-telecom-traffic-calling-called.png" data-sys-asset-uid="bltb32711db1768c0c9" style="display:block;margin:auto"/></p><h3>Anomaly detection in voice traffic analysis </h3><p>Anomaly detection enables operators to simply set up a single machine learning job on all traffic and split automatically across any of the parameters or data entities, unlike traditional alerting, which requires setting thresholds for each entity separately. Machine learning-based alerting will automatically adjust to network-specific behaviour. It can simplify and speed up network defect detection as well as pinpoint unusual behaviours, which are quite often recognised as abuse of the network to gain revenue by bad actors. </p><p>The typical analysis from machine learning in the Elastic Stack contains the following steps:</p><ol><li>Data sources are ingested</li><li>Machine learning detection is applied to the data</li><li>Visualizations and explanations are generated, as well as tickets and alerts </li></ol><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltfe259e92478182bd/5ee93ab6dee8140c761c08e2/blog-telecom-traffic-typical-ml.png" data-sys-asset-uid="bltfe259e92478182bd" style="display:block;margin:auto"/></p><figcaption>Typical approach to machine learning analysis </figcaption><p>In the example below, we can see anomalies related to traffic originating from Madagascar. The system detected a significant increase in connections and an automated alert was created. </p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt42fe158311a23811/5ee93b21146cc4629e1ac847/blog-telecom-traffic-anomaly-1.png" data-sys-asset-uid="blt42fe158311a23811" style="display:block;margin:auto"/></p><p>Another dashboard shows the anomalies for traffic from Gabon. Users can navigate from the anomaly detection view directly to any custom dashboards that the user created.</p><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltaf86bfd88ad4bd08/5ee93b30146cc4629e1ac84b/blog-telecom-traffic-anomaly-2.png" data-sys-asset-uid="bltaf86bfd88ad4bd08" style="display:block;margin:auto"/></p><p>In this case, the operator can find details for the Gabon-originated traffic alert and quickly understand that the anomaly was caused by individual numbers. </p><p>Currently we see rapid adoption of the Elastic Stack for CDR data analysis. It is important for each operator to be able to track subscriber behaviour and know about important events immediately when anomalous behaviour is spotted. This will significantly lower the risk of revenue loss or reputation damage.</p><h3><strong>CSSR (call setup success ratio)</strong></h3><p>CSSR analysis is one of the KPIs which have to be constantly monitored by the operator. The ability to act fast can prevent revenue loss and customer dissatisfaction. In many cases, it is not obvious if drops in particular values are the result of network failure or single subscribers abusing the network to their benefit (mass callers, number scanning, etc.). With the Elastic Stack, the situation looks much simpler, and operators can easily see the distribution of call attempts between calling and called parties. The Operations team can filter out individual numbers or groups of numbers and immediately verify the thesis. All operations can be aided by machine learning anomaly detection to spot unusual spikes in subscriber traffic without compromising accuracy. </p><p>In this example, data is decoded directly from ASN1 Call Data Records which are produced by the SS7 monitoring system. The ingest pipeline is used to perform enrichment (SPC/name, IP/name), including additional scripting. </p><p>Success is assumed if the called party exists and the called party has been notified about the incoming call.</p><p>The image below represents four different statistics:</p><ul><li><strong>All:</strong> catch call data record is counted</li><li><strong>distinctCalling:</strong> unique event count on calling party</li><li><strong>distinctCalled:</strong> unique event count on called party</li><li><strong>Attempts:</strong> call attempts</li></ul><p><img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltf8a89727ef2c43ff/5ee93b487253820a4364d289/blog-telecom-traffic-calls.png" data-sys-asset-uid="bltf8a89727ef2c43ff" style="display:block;margin:auto;width:650px" width="650"/></p><h2><strong>Get started in minutes</strong></h2><p>As we’ve seen, <a href="/observability">Elastic Observability</a> provides immediate value to the telecommunications space by unifying data that was previously siloed and allowing for powerful analysis in the Elastic Stack. Start visualising your voice traffic data with <a href="https://www.elastic.co/cloud/elasticsearch-service/signup">a free trial of Elasticsearch Service on Elastic Cloud</a>.</p><p>And if you'd like to learn about another Elastic project at Deutsche Telekom, check out their talk from Elastic{ON} 2018 Munich: <a href="https://www.elastic.co/elasticon/tour/2017/munich/smart-tracing-at-deutsche-telekom">Smart Tracing at Deutsche Telekom - Revealing the secrets behind modern networks with the Elastic Stack</a>.</p></div><div class="layout layout-07"></div></div></div></div></div><div class="layout layout-07"></div></section></div></main><div id="elastic-footer"></div><footer class="Footer_footer__Q5T55" aria-label="footer"><div class="Footer_footerWrapper__yhyD_ bg-dark-ink" data-component-theme="dark"><div class="container"><div class="row Footer_footerTop__2eyMt"><div class="Footer_footerNav__LFrAZ"><div><div><div class="Footer_logo__EaWBg"><a href="/"><img 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Learn how easy it is it to perform analysis of call drop ratio (CDR), network efficiency (NER), answer seizure (ASR), SIP traffic, calling/called numbers, anomaly detection, and more.","author":[{"_version":8,"locale":"en-us","uid":"blt1e227cc40ceaf4fa","ACL":{},"company_l10n":"Elastic","created_at":"2020-06-16T19:52:55.714Z","created_by":"bltf6ab93733e4e3a73","email_id":"","facebook_id":"","first_name":"Piotr","image":{"_version":1,"is_dir":false,"uid":"blt1dcf96d481b4984d","ACL":{},"content_type":"image/jpeg","created_at":"2021-09-22T02:28:57.585Z","created_by":"blt3044324473ef223b70bc674c","file_size":"21247","filename":"headshot-piotr-kobziakowski-300x300.jpg","tags":[],"title":"headshot-piotr-kobziakowski-300x300.jpg","updated_at":"2021-09-22T02:28:57.585Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2022-01-19T21:53:08.708Z","user":"blt36e890d06c5ec32c"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt1dcf96d481b4984d/614a94e98440e97ef5828439/headshot-piotr-kobziakowski-300x300.jpg"},"job_title_l10n":"Senior Principal Solutions Architect","key":"","last_name":"Kobziakowski","linkedin_id":"","paragraph_l10n":"","subtitle_l10n":"","tags":[],"title":"Piotr Kobziakowski","twitter_id":"","updated_at":"2023-05-17T14:24:39.738Z","updated_by":"bltd9765be97bbed20c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-05-17T14:24:44.112Z","user":"bltd9765be97bbed20c"}}],"body_l10n":"\u003cp\u003eApplying an \u003ca href=\"/observability\"\u003eobservability strategy\u003c/a\u003e to core telecommunication data processing enables operators to answer questions that were not possible to answer before. As this approach has gained prominence, the \u003ca href=\"/products\"\u003eElastic Stack\u003c/a\u003e has become increasingly popular in the telecommunications space, with companies like Deutsche Telekom — their data transformation effort championed by Hans-Konrad Roth — adopting Elastic as their solution of choice for international traffic monitoring.\u003c/p\u003e\u003ch2\u003e\u003cstrong\u003eMonitoring voice traffic data with Elastic\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003ePowered by \u003ca href=\"/elasticsearch\"\u003eElasticsearch\u003c/a\u003e, the Elastic Stack provides all three layers for processing information. Ingest pipelines (\u003ca href=\"/security\"\u003eElastic Endpoint Security\u003c/a\u003e, \u003ca href=\"/beats\"\u003eBeats\u003c/a\u003e, and \u003ca href=\"/logstash\"\u003eLogstash\u003c/a\u003e) enable users to rapidly integrate data from any data source and parse, normalise, and enrich it. Elasticsearch allows users to store, query, and analyze data with powerful features like \u003ca href=\"/what-is/elasticsearch-machine-learning\"\u003eout-of-the-box machine learning\u003c/a\u003e capabilities. And — likely the most important to many end users — \u003ca href=\"/kibana\"\u003eKibana provides a curated visualisation experience\u003c/a\u003e with dedicated apps for \u003ca href=\"/log-monitoring\"\u003elogs\u003c/a\u003e, \u003ca href=\"/infrastructure-monitoring\"\u003emetrics\u003c/a\u003e, \u003ca href=\"/apm\"\u003eAPM\u003c/a\u003e, \u003ca href=\"/siem\"\u003eSIEM\u003c/a\u003e, \u003ca href=\"/maps\"\u003emaps\u003c/a\u003e, and more.\u003c/p\u003e\u003cp\u003eWhere the Elastic Stack can significantly boost traditional operational work efficiency is transport network monitoring. Traditional systems are highly siloed, and correlating between different data sources is very difficult (if not impossible). Insights are limited to a single data source domain and do not provide a customer-centric view.\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt5e91fdea479029de/5ee937da6aaf2924fd230671/blog-telecom-traffic-ownership.png\" data-sys-asset-uid=\"blt5e91fdea479029de\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003cfigcaption\u003eThe most common data ownership split\u003c/figcaption\u003e\u003cp\u003eChanging the approach to collocate all information in a single analytical platform opens new ways to perform data analysis. It enables operators to map customer experience to service quality and later to system availability with a detailed view on failing components. Fraud detection and abuse of the network can be detected using the same data set and the same analytic capabilities.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt0314eebd4a7b5095/5ee93969688c1c62a49adb90/blog-telecom-traffic-collocation.png\" data-sys-asset-uid=\"blt0314eebd4a7b5095\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003cfigcaption\u003eAn example of how a siloed environment can be collocated\u003c/figcaption\u003e\u003ch3\u003e\u003cstrong\u003eMaking data ingest simple\u0026nbsp;\u003c/strong\u003e\u003c/h3\u003e\u003cp\u003eQuite often, infrastructure data like KPIs, fault management, inventory information, or CDR/EDR data is stored in curated form in a RDBMS or Hadoop. One of the fastest ways to retrieve data from such a complex system and ingest it into the Elastic Stack is through direct integration with those systems. It is fairly easy to write necessary queries, and RDBMS also enable users to create views on data and make enrichment (joins) on SQL level. The same applies to Hadoop integration (Elastic provides an Elasticsearch-Hadoop connector).\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt752a486ada0910e3/5ee9399d6b547b2c37e3a098/blog-telecom-traffic-rdbms-integration.png\" data-sys-asset-uid=\"blt752a486ada0910e3\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003cfigcaption\u003eElastic RDBMS integration example\u003c/figcaption\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt20f2a3a02fa59c08/5ee939af688c1c62a49adb94/blog-telecom-traffic-hadoop-integration.png\" data-sys-asset-uid=\"blt20f2a3a02fa59c08\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003cfigcaption\u003eElasticsearch-Hadoop integration\u003c/figcaption\u003e\u003cp\u003eSome organisations may not have this kind of advanced data warehouse setup. In such cases, Logstash and Beats enable users to ingest data directly from device logs like EDR, CDR, or signalling information from core network devices like MME.\u003c/p\u003e\u003ch3\u003e\u003cstrong\u003eWhy is data enrichment important?\u003c/strong\u003e\u003c/h3\u003e\u003cp\u003eMost available systems provide a limited view, as they are specialised in just one area. Today, system capability enables organisations to store much more data — and, most importantly, process it faster. It is possible to merge multiple domains such as customer traffic, planning, inventory management, performance management, fault management, configuration management, software management, and environmental monitoring.\u0026nbsp;\u003c/p\u003e\u003cp\u003eHaving all of the information correlated in a document enables entirely new analytical possibilities, leading to much faster issue resolution and new discoveries.\u003c/p\u003e\u003cp\u003eSome examples of areas of interest which can be covered are:\u0026nbsp;\u003c/p\u003e\u003cul\u003e\u003cli\u003eUnderstanding multi-factor influence on observed measurements\u003cul\u003e\u003cli\u003eHuman factor contribution to error rate\u003c/li\u003e\u003cli\u003eUnderstanding network element performance by element type, vendor, location, and type of installation\u003c/li\u003e\u003cli\u003eThe contribution of weather and environmental conditions to measurements\u003c/li\u003e\u003c/ul\u003e\u003c/li\u003e\u003cli\u003eOverview of the platform and surrounding systems and connections\u003cul\u003e\u003cli\u003eMuch faster problem source identification (MTTR-1)\u003c/li\u003e\u003c/ul\u003e\u003c/li\u003e\u003c/ul\u003e\u003ch3\u003e\u003cstrong\u003eStorage and processing\u003c/strong\u003e\u003c/h3\u003e\u003cp\u003eElasticsearch is the core of the Elastic Stack and is designed to store and analyze data. It can store any type of data, making it a great \u003ca href=\"https://www.elastic.co/observability\" target=\"_self\"\u003eobservability tool\u003c/a\u003e for users to answer all possible questions based on their dataset.\u0026nbsp;\u003c/p\u003e\u003ch2\u003eThe basics of voice\u0026nbsp;\u003c/h2\u003e\u003cp\u003eThe most common logs operators get from the system in relation to voice traffic are CDRs (call data records). Getting CDRs to Elasticsearch requires slight preprocessing, especially focused on data enrichment. The final data should contain enough information to understand it and allow for deep insight.\u0026nbsp;\u003c/p\u003e\u003cp\u003eThere are a number of KPIs which can be derived from this dataset. Please look at a few examples of what kind of visualisations and analysis can be easily done.\u003c/p\u003e\u003ch3\u003eCDR (call drop ratio)\u003c/h3\u003e\u003cul\u003e\u003cli\u003eThe number of calls disconnected due to platform failure\u003c/li\u003e\u003cli\u003eThe number of all calls routed via the system\u003c/li\u003e\u003c/ul\u003e\u003ch3\u003eACD (average call duration)\u003c/h3\u003e\u003cul\u003e\u003cli\u003eThe average call duration per destination and product\u003c/li\u003e\u003cli\u003eThe percentage of customers with an ACD over the average per destination and product\u003c/li\u003e\u003c/ul\u003e\u003ch3\u003eNER (network efficiency ratio)\u003c/h3\u003e\u003cul\u003e\u003cli\u003eThe expression of the system’s ability to fulfill the call to a given destination\u0026nbsp;\u003c/li\u003e\u003cli\u003eThe percentage of customers with a lower NER than the average for the given destination\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe visualisation below is a representation of all the above-mentioned parameters.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blte6b77815af8cc86c/5ee93a1443f6b42a02431a58/blog-telecom-traffic-voice-kpis.jpg\" data-sys-asset-uid=\"blte6b77815af8cc86c\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003ch3\u003eASR (answer seizure ratio)\u0026nbsp;\u003c/h3\u003e\u003cp\u003eThe available views:\u003c/p\u003e\u003cul\u003e\u003cli\u003eThe number of successful calls\u003c/li\u003e\u003cli\u003eThe number of call attempts\u003c/li\u003e\u003cli\u003eThe percentage of subscribers with lower ASR compared to the average per destination and direction\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe visualisations below represent the traffic monitoring for the top 10 destinations ASR / success rate.\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltfae825b5e48da9c0/5ee93a3f1f2ce6607680400e/blog-telecom-traffic-dest-success.jpg\" data-sys-asset-uid=\"bltfae825b5e48da9c0\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003ch3\u003eSIP traffic analysis\u003c/h3\u003e\u003cp\u003eThe visualisations below represent the 500 failure codes summary.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt62f17b7acb0cd0c3/5ee93a5f688c1c62a49adb98/blog-telecom-traffic-failures.jpg\" data-sys-asset-uid=\"blt62f17b7acb0cd0c3\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003ch3\u003eCLI (calling line identification)\u003c/h3\u003e\u003cp\u003eThe available views:\u003c/p\u003e\u003cul\u003e\u003cli\u003eCLI per destination and product\u003c/li\u003e\u003cli\u003eNumber and percentage of customers affected by non-CLI routes\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe visualisations below enable profiling by CLI on a different level to have a good understanding about the structure of a traffic stream.\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt53a5fb4ec0f3c0df/5ee93a808d39260a3ded600f/blog-telecom-traffic-cli.jpg\" data-sys-asset-uid=\"blt53a5fb4ec0f3c0df\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003ch3\u003eCalling/called number analysis\u003c/h3\u003e\u003cp\u003eThe Elastic Stack enables users to build very detailed views of data. Profiling by calling/called\u0026nbsp;number to have percent statistics is a simple step, and users can use Elasticsearch to perform more advanced aggregations and data partitioning by any of the available fields inside the data set.\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltb32711db1768c0c9/5ee93a9f8d39260a3ded6013/blog-telecom-traffic-calling-called.png\" data-sys-asset-uid=\"bltb32711db1768c0c9\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003ch3\u003eAnomaly detection in voice traffic analysis\u0026nbsp;\u003c/h3\u003e\u003cp\u003eAnomaly detection enables operators to simply set up a single machine learning job on all traffic and split automatically across any of the parameters or data entities, unlike traditional alerting, which requires setting thresholds for each entity separately. Machine learning-based alerting will automatically adjust to network-specific behaviour. It can simplify and speed up network defect detection as well as pinpoint unusual behaviours, which are quite often recognised as abuse of the network to gain revenue by bad actors.\u0026nbsp;\u003c/p\u003e\u003cp\u003eThe typical analysis from machine learning in the Elastic Stack contains the following steps:\u003c/p\u003e\u003col\u003e\u003cli\u003eData sources are ingested\u003c/li\u003e\u003cli\u003eMachine learning detection is applied to the data\u003c/li\u003e\u003cli\u003eVisualizations and explanations are generated, as well as tickets and alerts\u0026nbsp;\u003c/li\u003e\u003c/ol\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltfe259e92478182bd/5ee93ab6dee8140c761c08e2/blog-telecom-traffic-typical-ml.png\" data-sys-asset-uid=\"bltfe259e92478182bd\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003cfigcaption\u003eTypical approach to machine learning analysis\u0026nbsp;\u003c/figcaption\u003e\u003cp\u003eIn the example below, we can see anomalies related to traffic originating from Madagascar. The system detected a significant increase in connections and an automated alert was created.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt42fe158311a23811/5ee93b21146cc4629e1ac847/blog-telecom-traffic-anomaly-1.png\" data-sys-asset-uid=\"blt42fe158311a23811\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003cp\u003eAnother dashboard shows the anomalies for traffic from Gabon. Users can navigate from the anomaly detection view directly to any custom dashboards that the user created.\u003c/p\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltaf86bfd88ad4bd08/5ee93b30146cc4629e1ac84b/blog-telecom-traffic-anomaly-2.png\" data-sys-asset-uid=\"bltaf86bfd88ad4bd08\" style=\"display: block;margin: auto;\"/\u003e\u003c/p\u003e\u003cp\u003eIn this case, the operator can find details for the Gabon-originated traffic alert and quickly understand that the anomaly was caused by individual numbers.\u0026nbsp;\u003c/p\u003e\u003cp\u003eCurrently we see rapid adoption of the Elastic Stack for CDR data analysis. It is important for each operator to be able to track subscriber behaviour and know about important events immediately when anomalous behaviour is spotted. This will significantly lower the risk of revenue loss or reputation damage.\u003c/p\u003e\u003ch3\u003e\u003cstrong\u003eCSSR (call setup success ratio)\u003c/strong\u003e\u003c/h3\u003e\u003cp\u003eCSSR analysis is one of the KPIs which have to be constantly monitored by the operator. The ability to act fast can prevent revenue loss and customer dissatisfaction. In many cases, it is not obvious if drops in particular values are the result of network failure or single subscribers abusing the network to their benefit (mass callers, number scanning, etc.). With the Elastic Stack, the situation looks much simpler, and operators can easily see the distribution of call attempts between calling and called parties. The Operations team can filter out individual numbers or groups of numbers and immediately verify the thesis. All operations can be aided by machine learning anomaly detection to spot unusual spikes in subscriber traffic without compromising accuracy.\u0026nbsp;\u003c/p\u003e\u003cp\u003eIn this example, data is decoded directly from ASN1 Call Data Records which are produced by the SS7 monitoring system. The ingest pipeline is used to perform enrichment (SPC/name, IP/name), including additional scripting.\u0026nbsp;\u003c/p\u003e\u003cp\u003eSuccess is assumed if the called party exists and the called party has been notified about the incoming call.\u003c/p\u003e\u003cp\u003eThe image below represents four different statistics:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cstrong\u003eAll:\u003c/strong\u003e catch call data record is counted\u003c/li\u003e\u003cli\u003e\u003cstrong\u003edistinctCalling:\u003c/strong\u003e unique event count on calling party\u003c/li\u003e\u003cli\u003e\u003cstrong\u003edistinctCalled:\u003c/strong\u003e unique event count on called party\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eAttempts:\u003c/strong\u003e call attempts\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cimg src=\"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltf8a89727ef2c43ff/5ee93b487253820a4364d289/blog-telecom-traffic-calls.png\" data-sys-asset-uid=\"bltf8a89727ef2c43ff\" style=\"display: block;margin: auto;width: 650px;\" width=\"650\"/\u003e\u003c/p\u003e\u003ch2\u003e\u003cstrong\u003eGet started in minutes\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003eAs we’ve seen, \u003ca href=\"/observability\"\u003eElastic Observability\u003c/a\u003e provides immediate value to the telecommunications space by unifying data that was previously siloed and allowing for powerful analysis in the Elastic Stack.\u0026nbsp;Start visualising your voice traffic data with \u003ca href=\"https://www.elastic.co/cloud/elasticsearch-service/signup\"\u003ea free trial of Elasticsearch Service on Elastic Cloud\u003c/a\u003e.\u003c/p\u003e\u003cp\u003eAnd if you'd like to learn about another Elastic project at Deutsche Telekom, check out their talk from Elastic{ON} 2018\u0026nbsp;Munich:\u0026nbsp;\u003ca href=\"https://www.elastic.co/elasticon/tour/2017/munich/smart-tracing-at-deutsche-telekom\"\u003eSmart Tracing at Deutsche Telekom - Revealing the secrets behind modern networks with the Elastic Stack\u003c/a\u003e.\u003c/p\u003e","category":[{"uid":"bltb79594af7c5b4199","_version":3,"locale":"en-us","ACL":{},"created_at":"2023-11-02T21:51:05.640Z","created_by":"blt3044324473ef223b70bc674c","key":"product","label_l10n":"Product","tags":[],"title":"Product","updated_at":"2024-05-10T13:44:20.209Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"time":"2024-05-10T13:44:53.527Z","user":"blt3044324473ef223b70bc674c","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}}],"created_at":"2020-06-16T19:52:34.794Z","created_by":"bltf6ab93733e4e3a73","date_localized":null,"disclaimer":[],"full_bleed_image":{"uid":"bltda2692d94f73c907","created_by":"bltf6ab93733e4e3a73","updated_by":"bltf6ab93733e4e3a73","created_at":"2020-06-16T20:29:38.410Z","updated_at":"2020-06-16T20:29:38.410Z","content_type":"image/jpeg","file_size":"178001","filename":"blog-banner-telecom-tower.jpg","title":"blog-banner-telecom-tower.jpg","ACL":{},"_version":1,"is_dir":false,"tags":[],"publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2020-06-17T16:12:14.374Z","user":"bltf6ab93733e4e3a73"},"url":"https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltda2692d94f73c907/5ee92bb234f8f30c7cfb220f/blog-banner-telecom-tower.jpg"},"industry":["telecommunications"],"level":[],"markdown_l10n":"","newsfeed":[],"popular_topics":["observability"],"product":["elasticsearch","kibana","machine learning","alerting"],"publish_date":"2020-06-17T16:00:00.000Z","rtp_general_l10n":"","rtp_homepage_l10n":"","seo":{"seo_title_l10n":"","seo_description_l10n":"The Elastic Stack is a powerful tool for telco monitoring. Learn how easy it is it to perform analysis of call drop ratio (CDR), average call duration (ACD), network efficiency ratio (NER), answer seizure ratio (ASR), SIP traffic analysis, calling line identification (CLI), calling/called number analysis, anomaly detection, and call setup success ratio (CSSR) with Elasticsearch and Kibana.","canonical_tag":"","twitter":{"creator":""},"og_markup":{"facebook_profile_id":""},"social":{"paragraph_l10n":""},"noindex":false},"services_events":[],"tags":[],"tags_blog_type":[],"tags_campaigns":[],"tags_culture":[],"tags_elastic_stack":[{"_version":1,"locale":"en-us","uid":"blt7bb6b1e9a797738f","ACL":{},"created_at":"2020-06-17T03:36:25.048Z","created_by":"blt3044324473ef223b70bc674c","hidden_value":false,"keyword":"logstash","label_l10n":"Logstash","tags":[],"title":"Logstash","updated_at":"2020-06-17T03:36:25.048Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-12-08T16:19:34.237Z","user":"blt4b2e1169881270a8"}},{"_version":1,"locale":"en-us","uid":"blt8b37b4b3ec0fe838","ACL":{},"created_at":"2020-06-17T03:36:06.107Z","created_by":"blt3044324473ef223b70bc674c","hidden_value":false,"keyword":"kibana","label_l10n":"Kibana","tags":[],"title":"Kibana","updated_at":"2020-06-17T03:36:06.107Z","updated_by":"blt3044324473ef223b70bc674c","publish_details":{"environment":"blt835e2c3b7e9eb7fb","locale":"en-us","time":"2023-12-08T16:24:20.315Z","user":"blt4b2e1169881270a8"}},{"_version":3,"locale":"en-us","uid":"blta3fd0168b354a680","ACL":{},"created_at":"2023-11-06T21:50:30.740Z","created_by":"blt3044324473ef223b70bc674c","hidden_value":false,"keyword":"elk-elastic-stack","label_l10n":"ELK/Elastic 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observability with the Elastic Stack: Monitoring voice traffic data","title_l10n":"Telecommunications observability with the Elastic Stack: Monitoring voice traffic data","updated_at":"2024-01-24T00:23:04.118Z","updated_by":"bltb6c155cd84fc0c1a","url":"/blog/telecommunications-observability-elastic-stack-monitoring-voice-traffic-data","use_case":[],"versions":[],"weekly_category":[],"publish_details":{"time":"2024-01-24T00:23:10.623Z","user":"bltb6c155cd84fc0c1a","environment":"blt835e2c3b7e9eb7fb","locale":"en-us"}}]],"locale":{"locales":[{"code":"en-us"},{"code":"es-419"},{"code":"es-mx"},{"code":"pt-br"},{"code":"zh-cn"},{"code":"ko-kr"},{"code":"ja-jp","localized":true},{"code":"fr-fr"},{"code":"de-de"}]},"enData":[[]],"publishedEntry":{"error_message":"Failed to fetch entry. 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