Applications Manager's Elasticsearch monitoring aggregates critical KPI data and provides you with up-to-date information about the underlying operations in your working cluster. With Applications Manager's Elasticsearch monitoring tool, you can:
Elasticsearch is often deployed as a cluster of nodes. With Applications Manager's Elasticsearch server monitoring, get extensive cluster-specific metrics like node details, shard details, and indices data. Ensure optimal performance of your Elasticsearch clusters by keeping track of key components such as Elasticsearch health metrics, cluster runtime metrics, individual nodes metrics, real-time threads, and configurations.
Understand resource utilization with the help of Applications Manager's Elasticsearch health monitoring capability, where you can visualize the key metrics such as availability, CPU, load and memory details of Elasticsearch clusters. Know when you need to add disk capacity to existing nodes or reshard to add more nodes. Applications Manager's real-time Elasticsearch monitoring capability also alerts you of changes in the resource consumption of thread pool queues.
Stay on top of your cluster health by monitoring critical Elasticsearch health metrics such as:
Demystify Elasticsearch application monitoring by effectively updating indices with new information whenever the workload is write-heavy. Gain complete control of your indices and mappings with our Elasticsearch application performance monitoring tool. Keep track of Elasticsearch performance metrics like average query latency for every node, average segment time in node, file system cache usage, request rates, etc. and take actions if the thresholds are violated.
It is critical to keep an eye on network stats to prevent issues caused by high network traffic. Elasticsearch nodes use thread pools to manage how threads consume memory and CPU. Thread pool issues can be caused by a large number of pending requests or a single slow node as well as a thread pool rejection. Monitor sensitive thread pools like search, index, merge and bulk to get ahead of probable problems that may arise.
Although there are dedicated Elasticsearch monitoring tools available, you need a more comprehensive solution like Applications Manager's Elasticsearch performance monitoring that can cover every nook and corner of your infrastructure. Save time and effort by auto-discovering Elasticsearch nodes, tracking important metrics, and setting up alerts through our 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.
Keeping Elasticsearch running optimally can be vital, especially for applications that affect end users or operations at scale. To try out Elasticsearch monitoring for yourself, download a 30-day free trial now!
Elasticsearch monitoring is performed to track important cluster KPIs that provide deeper visibility into its operations. It also helps ensure constant availability of Elasticsearch clusters by sending notification alerts whenever a performance threshold is breached.
Monitoring Elasticsearch can help identify performance issues such as high network traffic, slow nodes, thread pool rejection, and more before they affect the end users. An Elasticsearch management tool helps understand server resource utilization that allows for accurate capacity planning.
An Elasticsearch monitoring tool like Applications Manager automatically discovers Elasticsearch resources and provides visual insight into the performance of the servers. This allows the tool to always stay on top the health of your Elasticsearch clusters, nodes, and indexes.