Comprehensive guide to optimize performance, security, and reliability of your Elasticsearch clusters
This guide covers essential best practices for running Elasticsearch in production environments. Each recommendation is categorized by priority and implementation effort to help you focus on the most impactful improvements.
Implementation Priority
Start with Critical and High priority items, then gradually implement Medium and Low priority improvements.
Configure optimal heap sizes for your workload
Optimize index settings for performance
Write efficient queries and avoid common pitfalls
Implement proper access controls
Secure network communications
Secure API access with proper key management
Implement comprehensive monitoring
Centralize and analyze Elasticsearch logs
Regular health assessments
Optimize node settings for reliability
Plan for growth and resource needs
Implement robust backup strategies
Latest version with enhanced security and performance
Stable and widely adopted version
Too many small shards can hurt performance. Aim for 20-40GB per shard.
Never exceed 32GB heap size. Use 50% of available RAM as a starting point.
Always have automated backup policies in place and test recovery procedures.
Use dedicated master nodes for clusters with more than 3 nodes.
Our team can help you implement these best practices and provide guidance on optimization strategies.