Memory Configuration
Contrary to the “more is better” principle, HEAP memory in Elasticsearch must be configured carefully. The Java Virtual Machine (JVM) uses HEAP memory for storing object pointers and becomes less efficient with more than 32 GB of HEAP due to a switch from compressed to regular pointers. This inefficiency can lead to performance degradation.
- Max and Min HEAP Values: Ensure these values match to prevent runtime resizing, which can cause instability.
- Optimal HEAP Size: Aim for no more than half of your available memory for HEAP, up to a maximum of 30 GB unless your system has over 128 GB of RAM, where 64 GB of HEAP is feasible.
Elasticsearch Performance Tuning
As your Elasticsearch cluster grows and your usage evolves, you might notice a decline in performance. This can stem from various factors, including changes in data volume, query complexity, and how the cluster is utilized. To maintain optimal performance, it’s crucial to set up monitoring and alerting systems that can preemptively highlight issues, allowing you to manage maintenance effectively.
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