Case Studies

Real engagements, real outcomes.

Real engagements, real constraints, and the honest version of what changed.

Kubernetes Platform Engineering Security

A fintech startup stopped fearing its deploys.

The problem

Twelve engineers, one person who understood the cluster, and every release felt like a coin flip. Environments drifted, nothing was documented, and a compliance review was on the way.

What we did

Right-sized the cluster, moved deploys to GitOps, added rollback that actually works, and wrote six runbooks for the failures this team will actually hit.

What changed

  • Deploys are boring now. One pull request, reviewed, shipped, and easy to undo.
  • Environments match. The pipeline enforces it instead of people remembering.
  • The audit had its evidence before the auditor asked.

Cloud Migration IaC Cost

Out of the datacenter, without a big bang.

The problem

A SaaS company with a renewal deadline and hardware that was getting old. The team had never run anything in the cloud, and nobody wanted a big-bang cutover.

What we did

Mapped what talks to what, built the new home with infrastructure as code, moved in small waves, and rehearsed the way back until it was boring.

What changed

  • Waves, not fireworks. Every move had a tested path back.
  • The bill didn't balloon. Right-sized from day one, tagged and budgeted.
  • Their team runs it now. No consultant on speed dial.

FinOps AI/ML Guardrails

The GPU bill grew faster than revenue.

The problem

An AI startup where compute spend became a board-level question. Nobody owned the bill, and nobody could say which experiments were worth it.

What we did

Gave every GPU hour an owner, set budgets that alert instead of surprise, moved interruptible jobs to spot, and cleaned up the idle leftovers.

What changed

  • Spend has an owner now, reviewed weekly.
  • The waste went away. Idle nodes, forgotten volumes, dead experiments.
  • Cost fails the build. Overspend is caught in the pipeline, not at month end.

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