Field guides for running Elasticsearch and OpenSearch well.
September 11, 2026 · QueryCrunch
Elasticsearch's logsdb index mode applies index sorting and synthetic _source to log data streams and typically halves storage. Here is what it actually changes, what it costs you at read and ingest time, how to measure the saving on your own data, and what the OpenSearch equivalents are.
Read moreSeptember 10, 2026 · QueryCrunch
Vector search does not replace BM25 — it covers a different failure mode. How to add dense retrieval to an existing Elasticsearch or OpenSearch index, fuse it with RRF, size the cost, and measure whether it actually helped.
Read moreAugust 12, 2026 · QueryCrunch
Every observability estate has a collector story, usually by accident. How to choose between Elastic Agent, Logstash, and the OpenTelemetry Collector, where transforms belong, and when a buffer earns its keep.
Read moreJuly 21, 2026 · QueryCrunch
The fork happened at 7.10, and the projects have been diverging since. A field checklist of the differences that matter when you evaluate a move in either direction — clients, security, vector search, dashboards, and snapshots.
Read moreJune 30, 2026 · QueryCrunch
Before you reach for vector search, get the fundamentals in order: a judgment list, a metric, analyzer and mapping fixes, and measured query tuning. A first-pass process that works on Elasticsearch and OpenSearch alike.
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