{"id":22399,"date":"2022-12-09T22:31:01","date_gmt":"2022-12-09T22:31:01","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2022\/12\/09\/elasticsearch-built-complete-observability-suite-to-meet-enterprise-demands\/"},"modified":"2022-12-09T22:31:01","modified_gmt":"2022-12-09T22:31:01","slug":"elasticsearch-built-complete-observability-suite-to-meet-enterprise-demands","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2022\/12\/09\/elasticsearch-built-complete-observability-suite-to-meet-enterprise-demands\/","title":{"rendered":"Elasticsearch built complete observability suite to meet enterprise demands"},"content":{"rendered":"

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Since businesses continue to drown in a mountain of data, enhanced observability and security have become vital.<\/p>\n

Elasticsearch B.V., an open search and analytics solution company, decided to go beyond log analytics and enter the observability and security spaces. Users were utilizing the platform for advanced logging, monitoring and safety purposes, according to Ken Exner<\/a> (pictured), chief product officer of Elasticsearch.<\/p>\n

\u201cSo people started using Elasticsearch to search\u00a0through operational data, logs,\u00a0and all kinds of other types of data\u00a0just to find different answers,\u201d he said. \u201cThey took us into log analytics, they started building log management solutions. They took us\u00a0into security, and we started building solutions\u00a0for security and observability\u00a0based on what customers were starting to do\u00a0with the platform.\u201d<\/p>\n

Exner spoke with theCUBE industry analysts\u00a0Dave Vellante<\/a> and Lisa Martin<\/a>\u00a0at\u00a0AWS re:Invent<\/a>, during an exclusive broadcast on theCUBE, SiliconANGLE Media\u2019s livestreaming studio. They discussed why observability and security are at the heart of Elasticsearch. (* Disclosure below.)<\/em><\/p>\n

Elastic\u2019s flexible data architecture<\/h3>\n

Through a single data analytics platform, Elastic provides enterprise search, security and observability functions, according to Exner, who said that this is made possible through its open and flexible data architecture.<\/p>\n

\u201cCustomers started using it\u00a0beyond log analytics and started using it\u00a0for APM and performance data,\u201d he said. \u201cSo we ended up \u2026 over the course of three years, building a complete observe observability suite.\u00a0So you can do APM, profiling, sort of distributed tracing,\u00a0and synthetic monitoring.\u201d<\/p>\n

Since Dish Media, a division of DISH Network LLC, was looking for next-generation observability solution, it landed on Elastic based on its openness and transparency, according to Exner, who said that the data platform also supports scalability and elasticity.<\/p>\n

\u201cDish\u00a0Media, Dish\u00a0Networks uses it to manage,\u00a0I think, it\u2019s 10 billion records a day\u00a0across 25 million devices,\u201d he pointed out.\u00a0\u201cSo it illustrates the scale that we can support\u00a0for managing observability for a company\u00a0but also just sort of the unique use cases.\u201d<\/p>\n

Here\u2019s the complete video interview, part of SiliconANGLE\u2019s and theCUBE\u2019s coverage of\u00a0AWS re:Invent<\/a>:<\/p>\n