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Incidents. Investigated the Moment They Fire.

Automated investigations with full context.

Automated investigations with complete context.

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Drastically cut MTTR by 90%

Automate investigations before your team logs in

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Reduce noisy alerts

Help your team with Intelligent Alert Grouping

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Knowledge That Compounds

Retain perfect memory of all past incidents.

Incident Response

From Alert to Root Cause, Automatically

Autonomous Incident Analysis

  • AI-Powered Root Cause Analysis

    Structure every finding into contributing factors, incident timelines, immediate actions, and long-term prevention.

  • Multi-Signal Correlation Across Your Service Topology

    Correlate logs, metrics, and distributed traces in real time to map symptoms to underlying causes across your topology.

Autonomous Incident Analysis

Intelligent Alert Grouping

  • Semantic Deduplication

    Group related alerts into single incidents automatically, reducing your total incident count by 50% from day one.

  • Hierarchical Scope-Based Correlation

    Group alerts by cluster, namespace, and deployment. Refine incidents automatically as new signals arrive within a 30-minute window.

Intelligent Alert Grouping

Historical Pattern Matching

  • Instant Historical Recall

    Reference past incidents to inform real-time analysis, applying proven fixes from up to 1,000 past incidents instead of starting from scratch.

  • Self-Improving Intelligence

    Enrich your knowledge base with every resolved incident, training accuracy improvements automatically.

Historical Pattern Matching

Automated Incident Documentation

  • Auto-Generated Incident Reports

    Generate comprehensive reports with root cause, contributing factors, and a complete timeline alongside evidence links.

  • Institutional Knowledge Standardization

    Standardize root cause analysis across your organization, eliminating tribal knowledge and undocumented fixes.

Automated Incident Documentation
Benchmarks

Measured against the platforms you are already paying for

Same telemetry, same workloads, one platform. Every number is OpenObserve against a named vendor - not an industry average.

  • vs. Datadog

    8×

    more cost-effective

    8x cost reduction means you can unify your observability into a single platform.

    Read case study
  • vs. Elastic

    140×

    storage efficiency

    140x storage means longer retention doesn't necessarily mean expensive bills.

    Read case study
  • vs. Dynatrace

    10×

    faster performance

    10x performance means dashboards and queries load in milliseconds, not minutes.

    Read case study
  • vs. New Relic

    30×

    compute efficiency

    30x compute efficiency means you index everything and don't have to compromise on sampling.

    Read case study

See how much you would save switching today.

Testimonials

Teams trust OpenObserve when it matters most

Correlate between the environments and signals across various sources with OpenObserve built-in correlation engine.

Ajith Natarajan

“[OpenObserve is] super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest.”

2–3 min

To first POC

Lightweight

Minimal footprint

AI vision

Retail analytics platform

Ajith Natarajan

Ajith Natarajan

Lead Software Engineer, Radius.ai

Incidents FAQs

Resources

Explore guides, videos, and articles

to help you get the most out of Incidents.

Ready to get started?

Try OpenObserve today for more efficient and performant observability.

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