Baseline first
DORA and flow data
We start by measuring deploy frequency, lead time, MTTR, and change-failure signals before proposing fixes.
4km consulting
We help engineering teams measure delivery, isolate the bottleneck, and ship targeted platform fixes with evidence attached.
Baseline first
We start by measuring deploy frequency, lead time, MTTR, and change-failure signals before proposing fixes.
Evidence trail
Recommendations map back to observable pipeline behavior, not vague maturity language.
Operator scope
Engagements are shaped around a small number of systems that can be improved and verified quickly.
Focused tracks
Each track has a measurable before state, a small change set, and a handoff your team can keep operating.
A measurement pass across CI, deploy, incidents, and recovery loops.
Kubernetes, Terraform, GitOps, and observability work that removes delivery drag.
Reusable workflows, pinned actions, cache strategy, and PR gates your team can maintain.
Supply-chain and IaC checks wired into delivery instead of bolted on after release.
Public work
Published tool
A Claude Code optimization plugin for bounded, target-driven improvement loops. It is the same kind of measurable operating pattern we bring to delivery systems.