Case Study: Atlassian achieves 99.99% availability and AI search scale with OpenSearch

A OpenSearch Case Study

Preview of the Atlassian Case Study

Atlassian achieves 99.99% availability with OpenSearch

Atlassian, an enterprise software and collaboration tools company, faced a challenge scaling its legacy PostgreSQL-based search to meet growing AI demands for its products like Jira and Confluence. The system lacked the necessary performance and flexibility, and operating across multiple clouds and regions introduced complexity around observability and compliance.

The solution was a migration to a custom-built OpenSearch platform on Kubernetes. OpenSearch provided the foundation for Atlassian's AI innovations, including the Rovo search tool and RovoDev CLI. This implementation resulted in 99.99% availability across 300+ clusters, supports 2M+ monthly AI users, and managed 20B+ documents. The OpenSearch platform also enabled a 45% reduction in developer pull request cycle time, significantly improving operational scale and productivity.


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