AI SRE for Elasticsearch

Pulse has become an essential tool for optimizing our Elasticsearch clusters on Elastic Cloud at Honeybook. It has helped us significantly reduce cloud costs and provides the comprehensive monitoring we need. With Pulse, we can quickly diagnose and resolve performance issues, ensuring our systems run efficiently.

Since integrating Pulse by BigData Boutique, our Elasticsearch clusters at Tethr have become much more manageable. Pulse provides us with a comprehensive view of Elasticsearch health, and the interface is easy to use. Pulse's automated insights, alerts, and responsive support team have significantly improved our operational effectiveness.

Using Pulse has been a game-changer for optimizing AWS OpenSearch Service at BigPanda. It assisted us with capacity planning and index tuning when migrating from Elasticsearch and for continuous fine-tuning of existing OpenSearch and Elasticsearch clusters. Pulse helped us eliminate redundant queries, optimize indexing, and adjust resources, resulting in significant cost savings and improved cluster design without compromising performance.

Thanks to Pulse, our search clusters are more stable than ever, allowing us to iterate on several new features confidently. Pulse was instrumental in monitoring and optimizing our search performance, ensuring smooth operations and significantly reducing costs.

Pulse is an excellent Elasticsearch observability platform. It sits in our cloud infrastructure, so it’s not something our engineers need to maintain. It provides the insights which help resolve any issues.