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Platform Engineering

Platform engineering builds self-service internal platforms and golden paths that speed delivery while enforcing security, reliability, and cost guardrails. It is the foundation that lets many teams migrate quickly and consistently.

Best Practice: Platform Engineering

Platform engineering is the discipline of designing, building, and operating internal self-service platforms that accelerate software delivery. Instead of every product team reinventing pipelines, infrastructure, and operational tooling, a platform team provides paved roads, also called golden paths, that bundle proven defaults behind self-service interfaces. The goal is to reduce cognitive load on product teams while enforcing consistent security, reliability, and cost guardrails. The Cloud Native Computing Foundation publishes guidance and a maturity model for the discipline. For modernization, a strong platform is the lever that lets many teams migrate quickly and safely on the same foundation.

Step-by-Step Implementation Guidance

  1. Treat the platform as a product, with users, a roadmap, and feedback loops.
  2. Identify the most common, painful tasks product teams repeat and target those first.
  3. Build golden paths: opinionated, self-service workflows for provisioning, building, and deploying.
  4. Provide self-service through APIs, portals, and templates rather than ticket queues.
  5. Bake in guardrails for security, compliance, and cost so the easy path is the safe path.
  6. Measure adoption, lead time, and developer satisfaction, not just platform uptime.
  7. Iterate based on user feedback and keep the platform optional but obviously better.

Common Mistakes Teams Make When Ignoring This Practice

  • Every team building bespoke pipelines and infrastructure, multiplying effort.
  • A platform built without talking to its developer customers.
  • Mandating the platform before it is genuinely better than the alternatives.
  • Hiding self-service behind ticket queues and manual approvals.
  • Measuring only infrastructure metrics, not developer outcomes.

Tools and Techniques That Support This Practice

  • Internal developer portals such as Backstage.
  • Infrastructure as code (Terraform, Pulumi) and policy as code (OPA).
  • Kubernetes, GitOps tooling (Argo CD, Flux), and CI/CD platforms.
  • Service catalogs, software templates, and golden-path scaffolding.

How This Practice Applies to Different Migration Types

  • Cloud Migration: Provide self-service cloud landing zones so teams migrate onto consistent, governed foundations.
  • Database Migration: Offer paved-road managed database provisioning and migration tooling as a platform capability.
  • SaaS Migration: Standardize integration and identity patterns so teams adopt SaaS consistently.
  • Codebase Migration: Ship golden-path templates for the target stack so new and migrated services start compliant.

Checklist

  • The platform is run as a product with a roadmap.
  • Golden paths cover common delivery tasks.
  • Capabilities are self-service, not ticket-driven.
  • Security, compliance, and cost guardrails are built in.
  • Adoption and developer experience are measured.
  • The platform is better than rolling your own.
  • Feedback loops drive continuous improvement.