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What is Causely?

Causely is a causal reasoning engine that starts where other systems stop: with the root cause already identified.

Instead of dashboards full of symptoms, Causely analyzes real-time signals and failure patterns to surface what's actually broken, and why.

Causely highlights active, ongoing issues, not just alerts, and explains their impact, origin, and resolution path.

welcome to causely

What Causely Provides​

Causely includes everything you need to reason about reliability in production—without manual setup.

  • Automatic instrumentation
    No code changes required. Causely uses OpenTelemetry and eBPF to start analyzing your system in minutes.

  • SLO definition and tracking
    Causely automatically defines and monitors service-level objectives based on actual user impact.

  • Root cause inference
    Detects failure patterns, maps them to symptoms, and infers what actually broke—not just what looks broken.

  • Noise-reducing alert intelligence
    Cuts alert volume by surfacing only actionable, causally linked issues.

  • Topology and service impact mapping
    Visualizes how failures propagate and what services are affected—with traceable causal paths.

  • Workflow integrations
    Push insights directly to Slack, Opsgenie, Microsoft Teams, and more—so your team sees root causes, not guesswork.

  • Zero-trust, production-grade design
    Keep your data private and secure, with strict boundaries and lightweight deployment.

When to Use Causely​

  • You're buried in alerts and want to cut straight to what matters.
  • You need to explain a production regression, and fix it before it spreads.
  • You want answers, not breadcrumbs.

How to get started​

To get started with Causely, you can follow the Quick Setup Guide.

If you want to explore Causely without installing the agent, you can use the Causely Sandbox.

What You'll Find in This Documentation​

  • Getting Started: Deploy Causely in minutes with OpenTelemetry + eBPF
  • Installation: Learn how to install the Causely agent.
  • Configuration: Learn how to configure Causely.
  • Root Causes: An overview of the root causes that Causely can identify
  • Telemetry Sources: To identify a wide range of root causes, it is recommended that you configure additional data sources.
  • Workflow Integrations: Act faster by pushing insights directly into the tools your team uses every day.