The agentic observability platform

Observability that doesn't just collect data. Elastic understands your system, discovers what matters, and acts. Built on the fastest metrics engine in its class.

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Agentic AI that knows your system

Elastic automatically analyzes logs, metrics, and traces to build a continuously updated model of your entire infrastructure. Skip building pipelines and managing instrumentation. Just interact directly with your data from the interface of your choice.

  • Best-in-class efficiency for metrics and logs

    High-cardinality metrics and logs, optimized with compression and columnar storage.

  • Autonomous investigations and remediation

    AI agents lead investigations, surface root cause, and automate remediation workflows.

  • OpenTelemetry-first and Prometheus-native

    Built on OpenTelemetry (OTel) from the ground up — with zero friction for Grafana engineers

Best-in-class efficiency for metrics

Agentic AI is only as good as the data platform powering it.

  • 25x

    faster queries vs. Prometheus & Mimir

  • 2.6x

    storage savings vs. Prometheus

  • 1 day

    to migrate from Datadog or Grafana

The innovation behind the claims

From storage architecture to agentic AI, each piece was built with purpose. Here's the engineering work that made it real.

  • Storage and ingest performance efficiency

    • Doc value skippers / handling
    • seq_num trimming
    • Synthetic id
  • ES|QL TS command

    • Comprehensive query functionality
    • Compute engine updates for query performance
  • "en": "Endpoint", 
"fr": "Sécurité aux points de terminaison", 
"jp": "エンドポイント"

    Prometheus and OTel ingest

    • Prometheus-native ingest endpoint
    • Native PromQL support
    • OTel-native ingest endpoint performance improvements
  • "en": "Box open", 
"cn": "开箱", 
"de": "Paket geöffnet", 
"es": "Caja abierta", 
"fr": "Boîte ouverte", 
"jp": "開いた箱", 
"kr": "열린 상자", 
"pt": "Caixa aberta"

    Kubernetes experience

    • Revamped dashboards
    • Out-of-the-box alerts, SLOs, ML
    • Agent skills, MCP app
  • "en": "Dashboard and spyglass", 
"cn": "仪表板和放大镜", 
"de": "Dashboard und Lupe", 
"es": "Dashboard y lupa", 
"fr": "Tableau de bord et loupe", 
"jp": "ダッシュボードと望遠鏡", 
"kr": "대시보드와 망원경", 
"pt": "Dashboard e lupa"

    UX

    • AI-powered dashboards with Agent Builder
    • Dashboards-as-code
    • Metrics exploration in Discover

Your telemetry knows your system. Now, so does your AI.

Elastic automatically reads logs, metrics, and traces and extracts Knowledge Indicators (KIs) — entities, dependencies, live state, and context — building a continuously updated model of your entire system. No configuration or tagging required.

  • Entities auto-discovered

    Services, hosts, pods, and databases inferred directly from telemetry

  • Dependencies mapped

    Request flows and service relationships built automatically from trace and log data

  • Live state, always current

    CPU, memory, latency, and error rate continuously reflected in the system model in real time

Observability everywhere you already work

The same intelligence — KIs, Significant Events, and remediations — rendered on any surface. Kibana for your SRE team. Claude for your on-call engineer. CLI for your automation pipeline.

MCP Integration

Ask Claude about your production system

With the Elastic MCP server, Claude becomes your observability copilot. Ask it to detect anomalies, surface Significant Events, or explain what's happening in your cluster — in plain language, right inside your existing workflow.

  • Native MCP server

    Connect any Claude-compatible client directly to your Elastic cluster.

  • Skills loaded automatically

    Significant Events RCA, anomaly detection, and remediation are always available.

  • Surface-aware rendering

    Results are rendered as rich cards, not raw JSON — built for the interface you're using.

Full-stack Observability

One platform for everything

Logs, metrics, traces, AIOps, workflows, and more — unified in a single observability platform. OTel-first, with 450+ one-click integrations across clouds, CI/CD, databases, Kubernetes, and more.

  • Log analytics

    Ingest and analyze log data at any scale with ES|QL — plus AI-powered pipelines and Significant Event detection via Streams.

  • Infrastructure monitoring

    Enable real-time visibility into hosts, containers, Kubernetes, and cloud with unified inventory and AI-driven insights.

  • APM and distributed tracing

    Gain end-to-end transaction visibility with automatic service maps and AI-driven anomaly correlation.

  • Digital experience monitoring

    Improve user experience with synthetic monitoring and RUM. Track every click and every path.

  • Agentic investigations

    Reduce alert fatigue with ML-driven anomaly detection, automated RCA, and agentic remediation workflows.

  • Workflow automation

    AI-driven and scripted automation. No external tools or messy integrations required.

  • OpenTelemetry

    Monitor everything from Kubernetes to applications and hosts with our OTel-first approach.

  • Prometheus monitoring

    Get 25x faster queries vs. Prometheus and Mimir, with full PromQL support and industry-leading storage efficiency.

  • LLM observability

    Monitor AI applications end-to-end — track token usage, latency, model quality, and cost in production.

Migration tool — tech preview

Migrate from Datadog or Grafana overnight

Automatically convert dashboards and alerting rules from Datadog and Grafana into Elastic, dramatically reducing the cost and complexity of switching platforms.

A high quality neighborhood

Teams thrive and scale with end-to-end observability.

  • Customer spotlight

    Wells Fargo observes through a single pane of glass — including metrics, events, logs, application traces, and extensions to minimize the log fields ingested by 60%.

  • Customer spotlight

    Comcast transforms customer experiences by providing a more strategic, partnership-based approach.

  • Customer spotlight

    Equinox boosts its cloud infrastructure health with Elastic Observability and reduces observability operational expenditure by 80%.

Roadmap

There's more on the way…

Noise becomes signals. Signals become situations.

Built on the live system model, the Discovery engine correlates raw alert events, performs agentic root cause analysis, and surfaces a single Significant Event — with full context and blast radius — instead of a flood of alerts.

A system that understands, decides, acts, and adapts

Agents use the live system model to determine root cause, rank remediation options by confidence, and execute — autonomously or with a human in the loop.

Built for developers. Proven by customers.

Explore real customer reviews and ratings to see why Elastic is trusted to deliver speed, insight, and reliability at scale.