Simplify your Elasticsearch operations with real-time issue detection and actionable recommendations to optimize performance and reduce costs. AutoOps is available for cloud and self-managed deployments. Learn more about AutoOps.
While Elasticsearch is a powerful and scalable search engine that offers a vast selection of capabilities, many users find it challenging due to its sometimes complex administration and management experience. We hear you, and we're excited to share some big news! The Opster team has been hard at work making AutoOps even better, and a seamless part of the Elastic platform. AutoOps is available in select Elastic Cloud regions, and coverage is rapidly expanding!
AutoOps makes Elastic Cloud easy to operate
AutoOps for Elasticsearch significantly simplifies cluster management with performance recommendations, resource utilization and cost insights, real-time issue detection and resolution paths. With AutoOps, you will be able to:
- Minimize administration time with insights tailored to your Elasticsearch utilization and configuration
- Analyze hundreds of Elasticsearch metrics in real-time with pre-configured alerts to detect and flag issues before they become critical
- Get root cause analysis with drill-downs to point-in-time of issue occurrence, and resolution suggestions including in-context Elasticsearch commands
- Improve resource utilization by providing optimization suggestions
In each of the scenarios below, let’s see examples of issues that users may come across, and how AutoOps insights (screenshots) can help right away!
Real scenarios: how AutoOps makes Elasticsearch easy to operate
The scenarios below provide real-world issues and how AutoOps provide root cause analysis, with drill-downs to point-in-time of issue occurrence, and recommendations on how to resolve the issue.
Scenario #1: Finding a query causing severe search latency
Issue:
Users complain that their dashboards are slow and take a long time to load…
AutoOps insight:
AutoOps reports a “Long running search task” event, identifying a search running for 4 minutes with 4 nested aggregations and suggesting ways to optimize the query causing the latency.
Resolution
AutoOps provides a cURL command to cancel the query. By identifying and canceling the long running search task, the administrator was able to block this specific query.