Production readiness
Before a peak season, launch, campaign, or migration, we map the failure path and rank what must change first.
- Architecture and dependency review
- Capacity and observability gaps
- Ranked failure map with evidence
KernelPanic helps cloud product teams expose fragile architecture, validate capacity under representative load, and stabilize the failures that can turn traffic into an incident.
Not generic cloud hands. Short, evidence-led interventions for systems carrying real business risk.
Before a peak season, launch, campaign, or migration, we map the failure path and rank what must change first.
Representative workloads designed to expose saturation, latency cliffs, queue growth, and false confidence.
A bounded intervention for active latency, timeout, scaling, storage, deployment, or reliability failures.
We challenge comfortable labels, trace symptoms to constraints, and prove the fix under load. The deliverable is not a slide deck full of vague risk. It is a defensible technical call.
Bring us the ugly signal ↗Collect the telemetry, architecture, traffic model, and assumptions that define the incident surface.
Separate comforting explanations from evidence and test the constraints most likely to fail first.
Prioritize the safest high-leverage remediation with explicit approval and rollback boundaries.
Retest under representative load and hand off the evidence, remaining risks, and next threshold.
SaaS, APIs, e-commerce, payments, tax, ticketing, migrations, campaigns, and traffic events where failure gets expensive fast.
No endless staff augmentation, vague cloud “optimization,” or promises of zero outages. Every engagement has a sharp question, evidence, boundaries, and an end.
Tell us what is coming, what feels fragile, and what failure would cost.
Start the assessment ↗