April 17, 2026
Fast approximate ES|QL - part II
Explaining the approach we use to obtain fast approximate ES|QL queries and the testing we did of error estimation.
April 16, 2026
Fast approximate ES|QL - part I
Introducing the work we've done on a fast approximate querying mode for ES|QL. In many cases, it allows us to achieve orders of magnitude latency reductions while providing accurate estimates.
April 15, 2026
Is your ML job's datafeed losing a race it cannot win?
Learn how switching from scroll-based to aggregation-based datafeeds optimizes machine learning jobs for large-scale deployments.
April 14, 2026
How big is too big? Elasticsearch sizing best practices
There’s no hard size limit in Elasticsearch, but there are clear signals you've outgrown your setup. Learn how to size shards, manage node limits, choose storage by tier, and use AutoOps to catch problems before they happen.
New ES|QL plugin for IntelliJ IDEA
Build and run ES|QL queries in your IDE with the new plugin for IntelliJ IDEA.
April 10, 2026
Unsupervised document clustering with Elasticsearch + Jina embeddings
A practical, reproducible approach to unsupervised document clustering with Elasticsearch and Jina embeddings.
April 9, 2026
Why ecommerce search needs governance
Learn why ecommerce search falls short without governance and how a control layer ensures predictable and intent-driven results, thus improving retrieval.
April 8, 2026
How to build agentic AI applications with Mastra and Elasticsearch
Learn how to build agentic AI applications using Mastra and Elasticsearch through a practical example.
April 8, 2026
Migrating your OpenShift Elasticsearch 6.x cluster to Elastic Cloud on Kubernetes (ECK)
A step-by-step guide on how to migrate from the legacy OpenShift Elasticsearch Operator (ES 6.x) to the modern Elastic Cloud on Kubernetes (ECK).