What is Obtrace

Product model, architecture boundaries, and when Obtrace is the right fit

Obtrace is an AI-native observability and incident response platform focused on one goal: reduce time from anomaly detection to safe remediation.

Core Product Model

Obtrace combines:

  • Multi-signal observability (logs, traces, errors, runtime metadata)
  • Correlation by service, environment, release, and timeline
  • AI-assisted diagnosis for incident triage
  • Operational context for human and machine workflows (Ask AI, MCP, llm.txt)

What Obtrace Is Not

  • Not just another dashboard aggregator.
  • Not a metrics-only tool.
  • Not a replacement for engineering ownership of reliability.

Obtrace accelerates engineering decisions; it does not remove accountability for architecture and operations.

Where It Brings Most Value

  • Distributed systems with frequent deploys.
  • Teams suffering from alert fatigue and tool switching.
  • Environments where frontend/backend correlation is critical.
  • Organizations that want AI-assisted runbooks grounded in real telemetry.
  1. Start with one critical backend service.
  2. Add frontend instrumentation where user impact matters.
  3. Connect deployment/runtime integrations.
  4. Enable AI workflows after baseline data quality is validated.

Next: Quick Start

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