0.89 recall at k=10 and zero cross-tenant leaks on a persistent agent memory layer.
Built on Elasticsearch with 3 indices mapped to cognitive science: episodic events, semantic facts, procedural playbooks.
Each has its own write rate, aging rules, and update logic. Episodic
Elastic
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Where developers learn, build, and share. Your source for hands-on demos, cheat sheets, explainers and more.
- 4/ We ran this on 2M documents across 2 nodes in the same GCP zone. Same data center. Same availability zone. Still: p50: 10.4ms → 3.1ms (3.3x faster) p90: 25.4ms → 5.9ms (4.3x faster) p99: 27.7ms → 8.1ms (3.4x faster) Even when nodes are physically close,
- 300+ Claude audit events now land in Elastic Security. Elastic's Anthropic integration pulls from Claude's Compliance API. Everything maps to ECS. Sign-ins, SSO changes, role updates, API key lifecycle, MCP server connections, data exports. Searchable the moment they land.
00:00 - Elastic repostedYour SOC tools don't talk to your dev tools. Your detection engineers write rules in one place and investigate in another. Live on June 17, we're demoing autonomous investigation workflows and security operations running inside Claude, Cursor, and Copilot. One week to go.
00:00 - Elastic repostedAttackers are using AI to cut attack timelines to minutes. @andythevariable , @jamesspi and @DanielMiessler get into what that means for your SOC, live on June 17.On June 17, I'm going live with @jamesspi and @DanielMiessler to cover the Obsidian and Axios supply chain attacks, and how AI agents can speed response. Humans don't leave the loop; they're moved to the top of it. 10am PT / 1pm ET @elasticseclabs elastic.co/lp/agentic-ai-…
00:00 - Stop building dummy data to test Elasticsearch. Kibana ships three production-quality sample datasets. One click to install, dashboards included: - Sample eCommerce orders: customer transactions, product categories, revenue by region - Sample flight data: airline routes, ticket
00:00 - 🧵 Your PromQL doesn't have to be rewritten to move to Elastic Observability. 9.4 added native Prometheus support. Ship metrics straight to ES, run your existing PromQL in Kibana. Same queries. Same dashboards. rate(http_requests_total{job="api"}[5m]) That runs in Kibana now.When you want one language across logs, metrics, and traces, ES|QL's TS command is the direct equivalent. TS metrics-* | STATS SUM(RATE(http_requests_total, 5m)) BY job, TBUCKET(5m) RATE(metric, 5m) maps to PromQL's rate(metric[5m]). TS groups by time series first and handles
- 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










