Platform Engineering Maturity Model

Platform engineering has become the top strategic technology trend according to Gartner. But most organizations are still in the early stages. This maturity model helps you assess where you are and where to go.

The Five Stages

Stage 1: Ad Hoc

• Developers manage their own infrastructure
• Tribal knowledge dominates
• Every team has a different deployment process
• No shared tooling or standards

Stage 2: Standardized

• Shared CI/CD pipelines exist
• Basic infrastructure templates (Terraform modules, Helm charts)
• Documentation for common tasks
• Central ops team handles requests via tickets

Stage 3: Self-Service

• Internal Developer Portal (IDP) deployed (Backstage, Port, Cortex)
• Developers provision environments without tickets
• Golden paths for common workloads
• Automated compliance checks

Stage 4: Optimized

• Platform team operates as a product team
• Developer experience metrics tracked and improved
• Automated capacity planning and cost optimization
• Policy-as-code with automatic enforcement

Stage 5: Autonomous

• AI-assisted platform operations
• Self-healing infrastructure
• Predictive scaling and optimization
• Platform continuously evolves based on usage data

Assessing Your Maturity

Score each dimension from 1-5:

Building Golden Paths

Golden paths are opinionated, well-supported routes through your platform:

# Example: Golden path for a new microservice
apiVersion: scaffolder.backstage.io/v1beta3
kind: Template
metadata:
  name: microservice-golden-path
  title: New Microservice
spec:
  parameters:
  - title: Service Details
    properties:
      name:
        type: string
        description: Service name
      language:
        type: string
        enum: [typescript, python, go]
      database:
        type: string
        enum: [postgresql, none]
  steps:
  - id: scaffold
    action: fetch:template
    input:
      url: ./templates/${{ parameters.language }}
  - id: create-repo
    action: publish:github
  - id: deploy-infra
    action: terraform:apply
  - id: register
    action: catalog:register

This creates a repo, provisions infrastructure, sets up CI/CD, and registers the service in the catalog — in minutes.

Measuring Platform Success

• Time to first deploy — How fast can a new engineer ship code?
• Ticket volume — Fewer ops tickets = better self-service
• Golden path adoption — Percentage of services using standard templates
• Developer NPS — Would developers recommend the platform?
• MTTR — Mean time to recovery for production issues
• Deployment frequency — Are teams shipping faster?

Common Anti-Patterns

• Mandated platform — Forcing adoption without earning trust
• Feature factory — Building features nobody asked for
• Ignoring feedback — Platform team doesn't talk to developers
• Over-engineering — Complex abstractions for simple problems
• No product thinking — Treating the platform as an ops tool, not a product

FAQ

Do I need Backstage to do platform engineering? No. Backstage is one option. You can start with shared templates, good documentation, and a Slack channel. The platform is the practice, not the tool.

How big should the platform team be? Start with 2-3 engineers. Scale to ~10% of your engineering org as the platform matures.

How do I get leadership buy-in? Quantify developer wait times and ops overhead. A platform that saves 1 hour/week per developer across 100 engineers = $250K+/year in productivity.

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