When production breaks, can the system explain what changed?
During an incident, teams need the exact revision, intended outcome, affected surfaces, available evidence, and recovery path. That context is often scattered across tools and people.
A focused, evidence-led conversation. No platform migration required.
Recovery starts by reconnecting reality to the change.
putnami incident trace checkout-errors
- running
- revision 8d2c1f7deployed 18:42 UTC
- intended
- reduce payment retrieschange pr-1842
- observed
- +37% checkout errorsbegan 4 minutes after deployment
- recovery
- rollback unsafemigration reversibility unverified
The moment that needs context most is often when it is hardest to recover.
- Revision uncertainty
- Responders cannot quickly establish which exact code, configuration, and data state is running.
- Missing intent
- The team sees symptoms and edits but not the outcome the latest change was meant to produce.
- Scattered evidence
- Checks, deployments, telemetry, and decisions live in separate timelines that must be reconciled.
- Author escalation
- Recovery depends on finding someone who remembers the change instead of interrogating the system.
Can a responder move from symptom to responsible change and safe recovery without oral history?
Incident explainability requires more than observability. It connects runtime facts to the intention, revision, evidence, ownership, and expected behavior of a change.
Reconstruct one recent incident from the change backward.
Follow the responder path and expose each point where missing or stale context delayed diagnosis, decision, or recovery.
- Time required to identify the relevant revision and its intended outcome.
- Evidence available to distinguish correlation from a responsible change.
- People required because the system could not answer an operational question.
- Recovery assumptions that were unverified before action was taken.
Bring one representative change. Leave with a clearer decision.
Leave your work email. Fabien will reply directly to understand the system, select a useful change, and decide whether a bounded engagement makes sense.
No newsletter sequence. No release waitlist. One direct conversation.