![]() ![]() Sizing by data volumeįor metrics and logging use cases, we typically manage a huge amount of data, so it makes sense to use the data volume to initially size our Elasticsearch cluster. ![]() The network performance - both bandwidth and latency - can have an impact on the inter-node communication and inter-cluster features like cross-cluster search and cross-cluster replication. The quantity and performance of CPU cores governs the average speed and peak throughput of data operations in Elasticsearch. OS Cache:Elasticsearch will use the remainder of available memory to cache data, improving performance dramatically by avoiding disk reads during full-text search, aggregations on doc values, and sorts.Įlasticsearch nodes have thread pools and thread queues that use the available compute resources.This is ideally set to 50% of available RAM. JVM Heap:Stores metadata about the cluster, indices, shards, segments, and fielddata. ![]()
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