Platform Engineering

The promise of platform engineering is simple: stop making every team reinvent CI/CD, observability, secrets, and deployment. Build it once. Pave a path. Make the right thing the easy thing.

The reality is messier. Most "platforms" are a wiki page nobody reads, a Helm chart that's three versions out of date, and a Slack channel where the same five questions get asked every sprint.

What I build

Service templates with paved paths — Spin up a new Go/Node/Python service with one command. CI/CD wired in, secrets scaffolded, observability auto-instrumented, SLO defaults set, runbook stubbed. Teams get from zero to a deployed staging environment in under an hour.

Backstage (or equivalent) portals — Service catalog, ownership graph, tech docs, scorecards. The "where does this run, who owns it, what's its health?" question solved in one place.

Self-service infrastructure — Crossplane / Terraform Cloud / internal CLI for "I need a new database" without a ticket. Guardrails around regions, sizes, and costs so nobody can accidentally provision a $4k/month cluster on a Friday.

DX metrics — DORA, but actually instrumented. Lead time for change, deploy frequency, MTTR, change failure rate. Reviewed monthly, with concrete actions on regressions.

Who this fits

Best for teams of 8–80 engineers, where the platform problem has become real but a dedicated platform team doesn't exist yet — or exists but is firefighting and needs a lift.