Stacks/SRE / incident response
Traversal AI SRE investigation agent
Traversal moved its AI SRE investigator off an API-server process and onto Temporal, first by wrapping a whole investigation in one activity, then by rebuilding the harness so each model and tool call is durable. The write-up is a detailed account of granular retry, resumable runs, child-workflow sub-agents, a durable state ledger, and native stop-and-steer controls during live incidents.
- Use case
- Autonomous production-incident investigation: agents reason over a live 'Production World Model' of a customer's systems, narrow candidate signals, and produce a root-cause report while someone is watching an outage
- Category
- SRE / incident response
- Team size
- not stated
- Orchestrator / framework
- A custom investigation harness rebuilt around Temporal primitives. The core agent loop is a Temporal workflow that decides the next step and dispatches work; every model call and tool call is an activity with its own deadline and retry policy; sub-agents and long-running analysis are child workflows. A related Traversal Worker is a long-running incident-channel agent whose workflow sleeps until signals, schedules, or timers wake it. Humans, Workers, and parent agents steer or stop in-flight investigations via Temporal Updates.
- Memory
- State lives in a durable ledger rather than in process memory: model messages, evidence, analysis results, and sandbox assignment are written so any activity can reconstruct what it needs. A retry clears partial rows before rebuilding so a turn is not duplicated in the transcript.
- Evals
- not stated
- Observability
- Temporal event history and a per-step timeline of what the agent is working on. The agent itself analyzes customer metrics, events, logs, traces, code, and deploys, and can open a scoped shell against the customer's cluster.
- Monthly cost
- not stated
- Models
- not stated
- Observability tools
- Other tools
- Production World ModelCausal Search EngineScoped customer-cluster shellSlack and UI steering
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