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Traversal is an AI site reliability engineering (SRE) platform built for teams responsible for keeping production running. It continuously gathers context across your observability stack, denoises and triages alerts, and performs root cause analysis automatically — so you understand what’s happening in production without war rooms, manual correlation, or endless dashboard-switching.

Quick Start

Start your first investigation in minutes

Integrations

Connect your observability stack to Traversal

Slack Integration

Investigate incidents directly from Slack

MCP

Use Traversal from Claude, Cursor, and other AI clients

Knowledge Bank

Teach Traversal your team’s runbooks and tribal knowledge

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What You Can Do With Traversal

  • Automatically detect incidents and perform RCA across metrics, logs, traces, and alerts
  • Triage high-volume alert streams into a prioritized list of impactful issues
  • Investigate complex failures across millions of events using causal reasoning, not manual filtering
  • Capture and apply runbooks and tribal knowledge to improve accuracy over time
  • Prevent SLA/SLO breaches through early detection and context-aware alerting
  • Generate post-mortems from any investigation in one click

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Who Traversal Is For

Traversal is built for teams closest to incidents and customer impact:
  • SREs and platform engineers operating complex, distributed systems at scale
  • On-call engineers overwhelmed by alert volume and manual correlation
  • Mission control / first line of defense teams who monitor alerts and triage incidents under time pressure
  • New or junior engineers ramping up in unfamiliar systems and learning institutional knowledge quickly
  • Product managers and customer success teams who need accurate, real-time system understanding without deep observability expertise

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How Traversal Works

Traversal is agent-less and schema-less, operating with accuracy and speed across fast-changing environments without manual setup.
  • Builds a system world model by mining telemetry and code to represent millions of entities, statistical baselines, and relationships across your production environment
  • Applies causal search to observability data, compressing, re-indexing, and ranking telemetry to enable deep investigations at machine scale
  • Learns autonomously through self-play and passive observation, improving accuracy over time without hard-coded prompts or brittle heuristics
  • Scales from team to enterprise with no agents, schemas, or per-service configuration required

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Where Traversal Works

Traversal meets you where you are:
  • Web app — rich timelines, signal previews, and post-mortem creation at app.traversal.com
  • Slack — start or auto-trigger investigations, receive RCA summaries, and ask follow-ups in-thread
  • MCP — run investigations from Claude, Cursor, ChatGPT, and other AI clients via the Model Context Protocol
Have feedback or questions? Reach the team at support@traversal.com.