Obtrace Docs

Complete documentation for SDKs, project blueprints, integrations, and AI-ready context

Obtrace is an AI-powered observability platform built to reduce incident MTTR and engineering context-switching. These docs are not only API references: they are the operational playbook to go from zero instrumentation to production-grade incident response.

Start Here

If you are new, follow this sequence:

  1. Introduction
  2. Quick Start
  3. Why Obtrace
  4. Authentication
  5. How to use

What You Get With Obtrace

  • AI-assisted root cause analysis across logs, traces, errors, and session context.
  • Unified observability model across frontend and backend services.
  • Faster triage through correlated evidence, not disconnected dashboards.
  • Optional AI workflows (Ask AI, MCP, llm.txt) for agent and assistant integration.

30-Minute Implementation Path

  1. Create API keys and configure environment variables.
  2. Instrument one backend service using your SDK.
  3. Instrument one frontend/browser app (if applicable).
  4. Validate ingestion and baseline signals.
  5. Configure one runtime integration (Kubernetes, Vercel, Docker, etc).
  6. Add CI/CD visibility with GitHub Actions.

SDKs

Use the language-specific guide for real setup details:

Project Blueprints

Use reference project structures to avoid ad-hoc setup and enforce consistent telemetry patterns:

Integrations

Integrate Obtrace where your workloads actually run:

AI and Machine-Readable Context

If you want a guided, conversational flow, use the floating Ask AI button in docs pages.

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