Field guides for running Elasticsearch and OpenSearch well.
September 21, 2026 · QueryCrunch
kNN search is fast when the vectors fit in page cache and miserable when they don't. What int8, int4, and binary quantization actually cost in recall, how oversampling and rescoring buy it back, and how to size the nodes before you commit.
Read moreSeptember 21, 2026 · QueryCrunch
Logs get the cost attention; metrics quietly grow. How TSDS index mode, synthetic _source, and ILM downsampling cut metrics storage by an order of magnitude — the constraints they impose, what resolution you give up, and the rollout order that keeps dashboards working.
Read moreSeptember 21, 2026 · QueryCrunch
Adding nodes does not fix an imbalanced cluster. How to confirm a hot spot, the four mechanisms that cause it — write-heavy shard placement, custom routing, oversized shards, and mixed roles — and the allocator settings that actually move load.
Read moreSeptember 18, 2026 · QueryCrunch
Both Elastic and AWS now sell a serverless tier where you never see a node. The architecture is genuinely different — compute separated from object storage — and so is the bill. Here is how the units price out, what you give up, and the workload shapes where it wins.
Read moreSeptember 17, 2026 · QueryCrunch
Elasticsearch can now own chunking, embedding, and query-time inference behind a single field type. What semantic_text actually does, the retriever syntax that goes with it, where the latency and cost land, and the OpenSearch neural-search equivalent.
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