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Augment OpenSearch for Log Analytics at Scale

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Reduce TCO by up to 80%

Analyze data in place with unlimited data retention and up to 80% cost savings

Eliminate management complexity

Eliminate the need to add, deploy, and manage hardware and software

Deliver performance and stability at scale

Achieve 99.99% availability and dynamically scale system resources to meet demand

Game-Changing Price/Performance

A true TCO of your OpenSearch usage must include the cost of administration and maintenance as well as difficult trade-offs for data retention. The unique ChaosSearch architecture and technologies consume far fewer resources - providing cost savings of up to 80%.

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80 Percent Cost Savings

ChaosSearch Data Platform

Management Simplicity

OpenSearch requires internal FTEs to size infrastructure and manage unforeseen usage spikes that cause downtime. ChaosSearch’s fully managed service decouples storage and compute for independent, elastic scaling. You won’t need to dedicate FTEs to manage infrastructure or build complex data pipelines and schemas for every analytics use case.

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Analyze Data in Place

With ChaosSearch, there is no data movement, transformation, or schema management. The Chaos Refinery® cleans, prepares, and virtually transforms data directly in your Amazon S3.

Analyze Data in Place

use-the-tools-you-know

Use the Tools You Know

ChaosSearch features a built-in Kibana interface to ensure the same experience. Built on a scalable and flexible architecture, you can easily integrate with the popular APIs and tools you know and love to deliver a branded data service to your customers.

Revinate Case Study

With their data growing daily, the cost of Revinate’s log analytics environment was rising while becoming increasingly unstable. With ChaosSearch, internal customers in engineering and the business now have a reliable platform to search through and visualize business events.

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Revinate Case Study

Read the New Eckerson Group Whitepaper: "Log Analytics for CloudOps"