Platform_engineering

Platform Engineering

Overview

Platform Engineering is the discipline of building and maintaining self-service platforms that enable development teams to deliver software efficiently. It focuses on creating golden paths and internal developer platforms (IDPs).

What is Platform Engineering?

Platform engineering bridges the gap between DevOps and development teams by:

• Building Internal Developer Platforms (IDPs): Self-service capabilities
• Standardizing workflows: Consistent patterns across teams
• Reducing cognitive load: Abstracting complexity
• Accelerating delivery: Faster time to production
• Improving developer experience: Focus on business logic

Platform Engineering Components

┌─────────────────────────────────────────────────────────────────┐
│                   Platform Engineering                                │
│                                                                  │
│   ┌─────────────────────────────────────────────────────────┐    │
│   │              Internal Developer Platform (IDP)           │    │
│   ├─────────────────────────────────────────────────────────┤    │
│   │                                                          │    │
│   │  ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌─────────┐  │    │
│   │  │  CI/CD   │ │  Service │ │  Observ- │ │ Secrets│   │    │
│   │  │ Pipeline │ │ Catalog  │ │ ability  │ │ Mgmt   │   │    │
│   │  └──────────┘ └──────────┘ └──────────┘ └─────────┘  │    │
│   │                                                          │    │
│   │  ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌─────────┐  │    │
│   │  │  Container│ │   IaC    │ │  Cost    │ │ Security│   │    │
│   │  │  Registry │ │ Templates│ │ Tracking │ │ Scanning│   │    │
│   │  └──────────┘ └──────────┘ └──────────┘ └─────────┘  │    │
│   └─────────────────────────────────────────────────────────┘    │
│                                                                  │
│   ┌─────────────────────────────────────────────────────────┐    │
│   │                    Developer Experience                   │    │
│   │   - Self-service portals                                │    │
│   │   - Golden paths                                        │    │
│   │   - Documentation                                       │    │
│   └─────────────────────────────────────────────────────────┘    │
└─────────────────────────────────────────────────────────────────┘

Building a Platform

Golden Paths

Golden paths are opinionated, pre-approved paths for developers:

# Golden Path: Containerized Application
spec:
  build:
    language: [go, nodejs, python, java]
    dockerfile: provided

  deployment:
    target: kubernetes
    ingress: provided
    monitoring: auto-instrumented

  testing:
    unit: required
    integration: required
    e2e: optional

  security:
    scanning: automatic
    secrets: vault

Service Catalog

# Backstage catalog-info.yaml
apiVersion: backstage.io/v1alpha1
kind: Component
metadata:
  name: my-service
  description: My microservice
  tags:
    - nodejs
    - rest-api
spec:
  type: service
  lifecycle: production
  owner: platform-team
  providesApis:
    - my-service-api
---
apiVersion: backstage.io/v1alpha1
kind: API
metadata:
  name: my-service-api
spec:
  type: openapi
  lifecycle: production
  owner: platform-team
  definition:
    url: https://github.com/org/repo/openapi.yaml

Developer Portal

# Backstage installation (Kubernetes)
apiVersion: apps/v1
kind: Deployment
metadata:
  name: backstage
spec:
  replicas: 2
  template:
    spec:
      containers:
      - name: backstage
        image: backstage:latest
        ports:
        - containerPort: 7007
        env:
        - name: APP_CONFIG
          value: |
            app:
              baseUrl: https://backstage.example.com
            auth:
              providers:
                github:
                  clientId: ${AUTH_GITHUB_CLIENT_ID}
                  clientSecret: ${AUTH_GITHUB_CLIENT_SECRET}

Self-Service Components

Terraform Modules

# Standard application module
module "app_deployment" {
  source = "git::https://github.com/org/terraform-modules.git//app-deployment?ref=v1.0.0"

  # Required inputs only
  app_name   = "myapp"
  image      = "myregistry/myapp:latest"
  environment = "production"

  # Optional - with sensible defaults
  replicas = 3
  resources = {
    cpu    = "100m"
    memory = "128Mi"
  }
}

Ansible Collections

# Standard application deployment role
- name: Deploy application
  import_role:
    name: org.platform.standard-app

  vars:
    app_name: myapp
    app_version: v1.0.0
    environment: production

Helm Charts

# Standard application chart
apiVersion: v2
name: standard-app
version: 1.0.0
type: application

dependencies:
  - name: nginx-ingress
  - name: prometheus
  - name: grafana

appVersion: "1.0"

maintainers:
  - name: Platform Team
    email: platform@company.com

Platform as Code

Backstage YAML

catalog-info.yaml

apiVersion: backstage.io/v1alpha1
kind: Component
metadata:
  name: payment-service
  annotations:
    github.com/project-slug: org/payment-service
    jira/project-key: PAY
    jira/component-name: payment-service
spec:
  type: service
  lifecycle: production
  owner: payments-team
  system: payments
  providesApis:
    - payment-api
---
apiVersion: backstage.io/v1alpha1
kind: System
metadata:
  name: payments
spec:
  owner: payments-team
  description: Payment processing system

Platform Manifests

# Platform configuration
apiVersion: platform.example.com/v1
kind: Team
metadata:
  name: payments-team
spec:
  members:
    - name: alice
      role: tech-lead
    - name: bob
      role: developer
  environments:
    - name: dev
      cluster: dev-cluster
      quota: small
    - name: prod
      cluster: prod-cluster
      quota: large

Measuring Platform Success

Developer Experience Metrics

# Metrics to track
developer_experience:
  # Deployment frequency
  deployment_frequency:
    target: "multiple per day"
    measurement: "deployments per day"

  # Lead time
  lead_time:
    target: "< 1 hour"
    measurement: "commit to production"

  # Mean time to recovery
  mttr:
    target: "< 1 hour"
    measurement: "incident detection to resolution"

  # Change failure rate
  change_failure_rate:
    target: "< 15%"
    measurement: "failed deployments / total"

Platform Health Metrics

platform_health:
  availability:
    target: "99.9%"

  performance:
    api_latency_p99: "< 200ms"

  security:
    vulnerabilities_blocked: true
    secrets_rotated: true

Implementation Patterns

Pattern 1: Progressive

Phase 1: Foundation
├── Standardized CI/CD pipelines
├── Basic monitoring
└── Centralized logging

Phase 2: Self-Service
├── Developer portal
├── Service catalog
└── Terraform modules

Phase 3: Advanced
├── Golden paths
├── Automated provisioning
└── Cost visibility

Pattern 2: Team Structure

Platform Team
├── Platform Engineers (4-6)
│   ├── IDP development
│   ├── Tooling
│   └── Developer experience
├── SREs (2-4)
│   ├── Reliability
│   └── Incident response
└── Security Engineers (1-2)
    ├── Security scanning
    └── Compliance

Best Practices

1. Start with Developer Needs

• Survey developers regularly
• Identify bottlenecks
• Prioritize high-impact improvements

2. Iterate and Improve

• Start simple
• Gather feedback
• Continuously improve

3. Document Everything

• Architecture decisions
• Runbooks
• API documentation

4. Measure and Optimize

• Track key metrics
• A/B test improvements
• Celebrate successes

Summary

Platform Engineering provides:

• Self-service: Developers provision resources independently
• Standardization: Consistent patterns across teams
• Acceleration: Faster delivery cycles
• Reliability: Platform-level SLAs
• Developer experience: Focus on code, not infrastructure

Key concepts:

• Internal Developer Platform (IDP): Self-service platform
• Golden paths: Pre-approved, standardized approaches
• Service catalog: Central registry of services
• Platform as code: Declarative platform definitions