Elasticsearch Internals: Inverted Index & Cluster Architecture
A deep dive into Elasticsearch internals — covering the inverted index structure, node roles, sharding, document write path, and search query execution.
A deep dive into Elasticsearch internals — covering the inverted index structure, node roles, sharding, document write path, and search query execution.
Principal engineering guide to OpenSearch internals (Apache Lucene segments, FSTs, DocValues, Segment Replication, ISM tiers) and end-to-end Splunk-to-OpenSearch migration (Schema-on-Read vs Schema-on-Write, SPL to PPL/DSL translation, Data Prepper pipelines, and capacity math).
Principal engineering guide to OpenSearch schema design (nested vs flat_object, keyword vs numeric IDs), zero-downtime Alias + sliced _reindex migrations, high-throughput Java 21 BulkIngester, multi-tenant shard _routing, and Day-2 operational runbooks.
Principal engineering guideline on writing fast, memory-safe OpenSearch queries: Query vs Filter Context (Roaring Bitmap caches), Point-in-Time (PIT) + search_after deep pagination, high-cardinality aggregations, and Hybrid BM25 + k-NN Vector Search.