What this covers

  • Cold starts and runtime CPU limits
  • Dependency bloat inflating a deploy past its budget
  • Deployments that fail while CI stays green
  • Queue and concurrency behavior under real load
  • Race conditions that only appear in production
  • Logging and observability good enough to diagnose the next one

Diagnostic output

  • The failure mode reproduced or isolated, where that is possible
  • An evidence-backed root-cause hypothesis
  • A prioritized remediation plan
  • Implementation options with their trade-offs
  • The observability gaps that let it go unnoticed
  • Optional implementation support once you have decided what to fix

What I need from you

  • Access to the relevant logs and metrics
  • Deployment and architecture context
  • Reproduction details, if any are known
  • Code access where appropriate
  • One technical point of contact

Good fit when

  • An expensive problem that has resisted normal debugging
  • A failure your monitoring reports as healthy
  • Serverless behavior that changed without the code changing
  • A performance ceiling nobody can locate
  • A bug that only appears under real production load

A bounded diagnostic first, scoped to the symptom you can describe. Findings and a ranked plan before any remediation work is agreed.

Best for expensive, persistent problems that have resisted normal debugging — not a replacement for an on-call rota or an incident-response team.