Principal/Senior-level OpenSearch playbook for index architecture, relevance, observability workloads, cluster tuning, security, and operating search/logging platforms at scale.
Use when: designing search or logging clusters, reviewing mappings and analyzers, tuning cluster performance, or operating OpenSearch in production.
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Principal/Senior-level OpenSearch playbook for index architecture, relevance, observability workloads, cluster tuning, security, and operating search/logging platforms at scale.
Use when: designing search or logging clusters, reviewing mappings and analyzers, tuning cluster performance, or operating OpenSearch in production.
OpenSearch Mastery (Senior → Principal)
Operate
Start from workload type: product search, log analytics, security analytics, or mixed.
Treat mappings, analyzers, shards, retention, and cluster topology as architectural decisions.
Separate relevance needs from ingest-heavy observability defaults.
Optimize for predictable operations and recoverability, not demo queries.
Default Standards
Important fields should have explicit mappings.
Shard count is an operational budget.
Relevance changes must be evaluated, not guessed.
Retention and ILM/ISM must match business value.
Search clusters and logging clusters should not be treated as identical by default.