Key Metrics to Monitor
- Cluster Health: Monitor the overall health of your cluster to ensure all nodes are operational and functioning correctly. Use the
_cluster/healthAPI to check the cluster status, node count and shard allocation status.
- Node Metrics: Track metrics such as CPU usage, memory usage, disk usage and network throughput for each node in the cluster. Use tools like Kibana or the
_cat/nodesAPI to view node metrics. - Indexing Performance: Monitor indexing throughput, indexing latency and indexing errors to ensure efficient data ingestion. Use the
_cat/indicesAPI to view indexing statistics for each index. - Search Performance: Monitor search latency, search throughput and search errors to ensure optimal query performance. Use tools like Kibana or the
_cat/indicesAPI to view search statistics. - Shard Allocation: Monitor shard distribution and shard allocation balance to prevent hotspots and ensure even load distribution across nodes. Use the
_cat/shardsAPI to view shard allocation status.
Monitoring and Optimizing Your Elasticsearch Cluster
Monitoring and optimizing an Elasticsearch cluster is essential to ensure its performance, stability and reliability. By regularly monitoring various metrics and applying optimization techniques we can identify and address potential issues, improve efficiency and maximize the capabilities of our cluster.
In this article, we will explore the importance of monitoring and optimization in Elasticsearch also discuss key metrics to track and provide examples and outputs to help beginners understand the process.
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