02 / Build

Platform Engineering

Your engineers spend more time fighting the cloud than shipping features. An internal platform with templates, automation, and self-service environments. Launching a new service takes hours, not weeks.

A platform engineering engagement turns infrastructure into a product engineering teams use without thinking about it. Backstage as the front door, Kubernetes as the runtime, ArgoCD or Flux as the deployment model, golden-path templates so new services are bootstrapped from a pl new command rather than a copy-paste of someone else's terraform/ directory. The engagement maps to the capability model in the CNCF Platforms whitepaper.

The platform is built to be operated by your team, not by Perpelin forever. Documentation is generated. Templates have CI baked in. Onboarding for a new engineer is a single PR review.

Engagements run 8–12 weeks for a Backstage-anchored platform on top of an existing Kubernetes cluster, longer when the cluster itself needs to be built first. The output is a platform plus the playbook your team uses to extend it.

Who this fits

Ideal client

  • · Companies with 4+ product engineering teams sharing infrastructure
  • · Platform-team-of-one trying to scale to a real platform team
  • · Existing Kubernetes clusters with no developer-facing layer
  • · Teams that have outgrown shared `terraform apply` access

Not a fit

  • · Single-product startups with one engineering team
  • · Teams that haven't adopted containers yet
  • · Companies looking for managed Kubernetes alone

Sample engagement

Week 1: developer-experience audit, identify golden-path candidates. Weeks 2–4: Backstage stand-up, software catalog, scaffolding templates. Weeks 5–8: ArgoCD rollout, environment self-service, on-call onboarding. Weeks 9–12: documentation, knowledge transfer, optional managed-ops handoff.

Production outcomes

5-week k8s platform
AI startup: production GPU Kubernetes ready in 5 weeks
Self-service in 6 weeks
AI startup: golden-path scaffolds let product engineers ship without touching kubectl
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