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dbaplus Community
dbaplus Community
Aug 22, 2021 · Operations

Master Elasticsearch Performance: Memory, CPU, Shards, and Cluster Tuning

This guide presents practical best‑practice configurations for Elasticsearch clusters in production, covering JVM heap sizing, CPU thread‑pool tuning, optimal shard counts, replica strategies, hot‑warm node architecture, node role settings, common troubleshooting tips, cache handling, refresh intervals, and essential monitoring APIs.

ClusterElasticsearchMemory
0 likes · 14 min read
Master Elasticsearch Performance: Memory, CPU, Shards, and Cluster Tuning
Programmer DD
Programmer DD
Nov 26, 2020 · Databases

Unveiling Elasticsearch: Inside Nodes, Shards, and Lucene’s Inverted Index

This article explains Elasticsearch’s internal architecture, from cloud clusters and nodes to shards and Lucene’s inverted index, covering indexing, storage structures, query processing, caching, scaling, routing, and real‑world request handling, with detailed diagrams and examples.

DistributedSearchShards
0 likes · 13 min read
Unveiling Elasticsearch: Inside Nodes, Shards, and Lucene’s Inverted Index
vivo Internet Technology
vivo Internet Technology
Nov 3, 2017 · Databases

Elasticsearch Indexing Performance Optimization - Part 3

Part 3 of the Elasticsearch indexing optimization guide advises balancing shard and replica counts, using index aliases, leveraging the Bulk API with appropriately sized batches, dedicating data nodes, and upgrading storage (SSD/RAID 0) while monitoring resources to achieve higher throughput and scalable, reliable clusters.

ElasticsearchReplicasShards
0 likes · 21 min read
Elasticsearch Indexing Performance Optimization - Part 3