Platform Engineering

Internal products that make safe delivery the easy path: golden paths, self-service with guardrails rather than gates, policy as code, and developer experience as an operational metric.

Platform Engineering

Building reusable internal products that make safe delivery the easy path for the teams that ship on them.

Q · When does building an internal platform make delivery safer, and when does it just add a team between developers and production?
The Internal Developer Platform

Turning "create a service" into one standardised workflow that produces a repository, a pipeline, a deployment, observability, secrets, infrastructure and documentation.

Q · What does "create a service" have to actually produce before a team can call it self-service?
Golden Paths

A recommended, supported route to production that removes toil without removing engineering judgement — and stays a path rather than becoming a cage.

Q · How do you make one supported way of building a service without forbidding every other way?
Developer Experience as an Operational Metric

Time to first deploy, feedback time, build time, local setup, deployment friction and incident discoverability — measured, because each one changes what engineers do.

Q · Which measurable properties of the delivery path actually change engineering behaviour, and how do you track them without turning them into targets?
Self-Service Infrastructure

Letting teams provision what they need without a ticket, by constraining what can be asked for rather than by reviewing every request.

Q · How does a team get a database, a queue or a bucket without waiting for someone, and without being able to create anything at all?
Guardrails, Not Gates

A gate is a human approving everything; a guardrail is automation that makes the invalid action impossible. A gate scales as a queue, a guardrail scales as code.

Q · Something dangerous is possible. Do you require someone to approve it, or make it impossible to do by accident?
Policy as Code

Encoding organisational rules — no public buckets, required tags, resource limits, deployment constraints — as machine-evaluated checks that run on every change.

Q · How does a rule that exists in a document become a rule that is actually true of production?
Service Templates

The production-readiness checklist expressed as a template, so a new service starts with health checks, signals, shutdown, config validation, alerts, a runbook and an owner already in place.

Q · What should a brand-new service already have on the day it is created, before anyone asks for it?