Elasticsearch is a powerful, open-source search and analytics engine often at the heart of critical applications. Ensuring its optimal health and performance is paramount. ManageEngine Applications Manager provides a comprehensive Elasticsearch monitoring solution, aggregating vital KPI data to give you real-time, up-to-date information on your cluster's operations.
As Elasticsearch clusters scale, monitoring becomes essential to detect bottlenecks early, prevent data loss, reduce query latency, and maintain high availability. With Applications Manager's Elasticsearch monitoring tool, you can:
Elasticsearch is typically deployed as a cluster of nodes. Applications Manager's Elasticsearch server monitoring offers extensive cluster-specific metrics, including detailed node information, shard distribution, and index data. Ensure the peak performance of your Elasticsearch clusters by continuously tracking critical components such as Elasticsearch health metrics, cluster runtime statistics, individual node metrics, real-time thread activity, and configurations.
Understand your resource consumption with Applications Manager's Elasticsearch health monitoring. Visualize key metrics like availability, CPU usage, system load, and memory details across your Elasticsearch clusters. Know precisely when to expand disk capacity on existing nodes or re-shard to introduce new nodes. Our real-time Elasticsearch monitoring capability also alerts you to sudden changes in thread pool queue resource consumption, allowing for timely intervention.
Stay on top of your cluster health by monitoring critical Elasticsearch health metrics, such as:
Demystify Elasticsearch application monitoring by ensuring efficient index updates, especially during write-heavy workloads. Gain complete control over your indices and mappings with our Elasticsearch application performance monitoring tool. Keep a close watch on Elasticsearch performance metrics like average query latency per node, average segment time, file system cache usage, and request rates. Set thresholds and receive alerts when violations occur, enabling proactive optimization.
Keeping a vigilant eye on network statistics is crucial to prevent problems arising from high network traffic. Elasticsearch nodes utilize thread pools to manage how threads consume memory and CPU resources. Issues can stem from a large number of pending requests, a single slow node, or thread pool rejections. Monitor sensitive thread pools—such as search, index, merge, and bulk—to proactively address potential problems before they escalate.
While various open-source Elasticsearch monitoring tools are available, a truly comprehensive solution like ManageEngine Applications Manager's Elasticsearch performance monitoring covers every aspect of your infrastructure. Save valuable time and effort through automated discovery of Elasticsearch nodes, seamless tracking of important metrics, and configurable alerts, all accessible via our intuitive Elasticsearch monitoring dashboard.
In addition to Elasticsearch, you can monitor the performance and user experience of 150+ applications and infrastructure elements with Applications Manager. You can also keep track of your AWS environment with features like Amazon EKS monitoring and more.
Maintaining an optimally running Elasticsearch environment is vital, particularly for applications impacting end-users or operating at scale. To experience Elasticsearch monitoring for yourself, download a 30-day free trial now!
It allows us to track crucial metrics such as response times, resource utilization, error rates, and transaction performance. The real-time monitoring alerts promptly notify us of any issues or anomalies, enabling us to take immediate action.
Reviewer Role: Research and Development
"I like Applications Manager because it helps us to detect issues present in our servers and SQL databases."
Carlos Rivero
Tech Support Manager, Lexmark
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