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Elastic
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Elastic
@elastic
Where developers learn, build, and share. Your source for hands-on demos, cheat sheets, explainers and more.
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elastic.co
Joined October 2009
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  • user avatar
    Elastic
    @elastic
    23h
    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
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    1.2K
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    Elastic
    @elastic
    23h
    Blog and full implementation: go.es.io/4oFWhYy GitHub repo: go.es.io/4uKA8tl
    Persistent agent memory on Elasticsearch: three-index architecture, hybrid retrieval, supersession and DLS isolation. R@10 0.89, zero cross-tenant leaks.
    Agent memory on Elasticsearch: hybrid retrieval and DLS - Elasticsearch Labs
    From elastic.co
    531
  • Elastic reposted
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    Elastic Security Labs
    @elasticseclabs
    Jun 17
    Live now!
    900
  • user avatar
    Elastic
    @elastic
    Jun 17
    🧵 We've reworked stored-vector kNN search to cut latency by up to 3x with a single API change. Here's why 2 round trips was always unnecessary, how the speedup works, and what the benchmark numbers show.
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    1.4K
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    Elastic
    @elastic
    Jun 17
    Replying to @elastic
    3/ In 9.4, this collapses into a single request: Elasticsearch fetches the stored vector internally and uses it directly. One request. No client-side plumbing.
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    412
    user avatar
    Elastic
    @elastic
    Jun 17
    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,
    Elasticsearch 9.4 provides a simpler way to search with vectors stored in an Elasticsearch index, with up to 3x lower latency.
    Up to 3x faster stored-vector queries in Elasticsearch - Elasticsearch Labs
    From elastic.co
    354
  • user avatar
    Elastic
    @elastic
    Jun 16
    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.
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    1.7K
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    Elastic
    @elastic
    Jun 16
    Blog and integration docs:
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    Monitor Claude activity in Elastic Security
    From elastic.co
    568
  • Elastic reposted
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    Elastic Security Labs
    @elasticseclabs
    Jun 8
    Your 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.
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    1.4K
  • Elastic reposted
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    Elastic Security Labs
    @elasticseclabs
    Jun 15
    Attackers 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.
    user avatar
    Andrew Pease
    @andythevariable
    Jun 13
    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-…
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    1.9K
  • user avatar
    Elastic
    @elastic
    Jun 12
    3 types of mappings in Elasticsearch Dynamic: Elasticsearch detects field types as documents arrive. Explicit: you define every field upfront. Recommended for production. Runtime: schema-on-read, no reindexing needed. Each trades setup speed for indexing control.
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    1.8M
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    Elastic
    @elastic
    Jun 12
    Learn more:
    Elastic | The Search AI Company
    elastic.co
    Mapping | Elastic Docs
    Mapping is the process of defining how a document and the fields it contains are stored and indexed. Each document is a collection of fields, which each...
    1.2K
  • user avatar
    Elastic
    @elastic
    Jun 11
    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
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    Elastic
    @elastic
    Jun 11
    Sample data:
    Elastic | The Search AI Company
    elastic.co
    Sample data | Elastic Docs
    Using sample data is a great way to start exploring the system and learn your way around. There are a few ways to easily ingest sample data into Elasticsearch...
    746
  • user avatar
    Elastic
    @elastic
    Jun 10
    🧵 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.
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    1.6K
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    Elastic
    @elastic
    Jun 10
    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
    elastic.co
    30x faster than Prometheus: How we rebuilt Elasticsearch as a leading columnar metrics datastore -...
    Elasticsearch now stores OTel metrics at 3.75 bytes per data point and queries them up to 30x faster than Prometheus. Here's how we rebuilt TSDS and ES|QL.
    712
  • user avatar
    Elastic
    @elastic
    Jun 9
    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
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    9.7M
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    Elastic
    @elastic
    Jun 9
    Already on Elasticsearch 9.2+? Any logs-* data stream uses LogsDB by default. Run GET /.ds-logs-*/_settings?filter_path=*.settings.index.mode to verify.
    2.8K
    user avatar
    Elastic
    @elastic
    Jun 9
    Follow along in the full tutorial:
    Learn how to enable LogsDB index mode in Elasticsearch and measure real storage savings. We compare a standard index against a LogsDB index using Apache logs and show how much storage you can reclaim.
    How to cut Elasticsearch log storage costs with LogsDB — Elastic Observability Labs
    From elastic.co
    1.6K

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Elastic Security Labs
@elasticseclabs
Put agentic AI to work: Real-world defense against threats