Principal/Senior-level Elasticsearch playbook for index design, search relevance, cluster operations, performance tuning, observability, and production reliability.
Use when: designing search workloads, reviewing mappings and analyzers, fixing shard/query bottlenecks, or operating Elasticsearch in production.
Principal/Senior-level Elasticsearch playbook for index design, search relevance, cluster operations, performance tuning, observability, and production reliability.
Use when: designing search workloads, reviewing mappings and analyzers, fixing shard/query bottlenecks, or operating Elasticsearch in production.
Elasticsearch Mastery (Senior → Principal)
Operate
Start with query patterns, relevance requirements, data freshness, and retention.
Treat mapping, analyzer, shard count, and indexing strategy as architectural choices.
Optimize for predictable operations, not demo-search quality only.
Distinguish logging/observability use-cases from user-facing search needs.
Default Standards
Mappings should be explicit on important fields.
Shards are not free; oversharding is an operational tax.
Relevance tuning requires representative queries and evaluation, not intuition.
