Elasticsearch built complete observability suite to meet enterprise demands

Elasticsearch built complete observability suite to meet enterprise demands

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Since businesses continue to drown in a mountain of data, enhanced observability and security have become vital.

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 (pictured), chief product officer of Elasticsearch.

“So people started using Elasticsearch to search through operational data, logs, and all kinds of other types of data just to find different answers,” he said. “They took us into log analytics, they started building log management solutions. They took us into security, and we started building solutions for security and observability based on what customers were starting to do with the platform.”

Exner spoke with theCUBE industry analysts Dave Vellante and Lisa Martin at AWS re:Invent, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed why observability and security are at the heart of Elasticsearch. (* Disclosure below.)

Elastic’s flexible data architecture

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.

“Customers started using it beyond log analytics and started using it for APM and performance data,” he said. “So we ended up … over the course of three years, building a complete observe observability suite. So you can do APM, profiling, sort of distributed tracing, and synthetic monitoring.”

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.

“Dish Media, Dish Networks uses it to manage, I think, it’s 10 billion records a day across 25 million devices,” he pointed out. “So it illustrates the scale that we can support for managing observability for a company but also just sort of the unique use cases.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent:

(* Disclosure: Elasticsearch B.V. sponsored this segment of theCUBE. Neither Elasticsearch nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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