Elastic (@elastic)

Learn how to cut Elasticsearch log storage by up to 76% with LogsDB: 1. Create a LogsDB index with "index.mode": "logsdb" 2. Reindex your logs into both a standard and LogsDB index 3. Force merge both indices with _forcemerge?max_num_segments=1 4. Measure the difference with the _stats API In our test: 15.37 MB (standard) vs 8.6 MB (LogsDB). 44% reduction on test data. 76% in production benchmarks.

Building a dashboard mid-investigation means losing the thread you were pulling. Open the editor, pick indices, configure panels, wire up ES|QL queries. That's ten minutes of context switching before you've answered a single question. Kibana skips that now. • Describe what you need in plain language. • The agent explores your indices, generates ES|QL, picks chart types, and lays out the panels. Everything stays in your conversation until you save it. Then it becomes a first-class Kibana object your team can open and edit. Already viewing one? The agent attaches automatically. Ask why a metric spiked, add a comparison panel, break it down by region: all inline. Available as a technical preview in Elastic 9.4