DevOps Academy

DevOps blends software development (Dev) and IT operations (Ops) to shorten the systems development life cycle and deliver high‑quality software continuously.

• Culture and collaboration
• Automation fundamentals
• Key metrics: lead time, MTTR, deployment frequency

CI automates the testing of code changes, ensuring that new commits integrate smoothly.

# .github/workflows/ci.yml
name: CI
on: [push, pull_request]
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Set up Node
        uses: actions/setup-node@v3
        with:
          node-version: '20'
      - run: npm ci
      - run: npm test

CD pushes validated code to staging or production automatically.

# deploy.yml
name: Deploy
on:
  push:
    branches: [main]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Deploy to Kubernetes
        uses: Azure/k8s-deploy@v4
        with:
          manifests: |
            k8s/deployment.yaml
            k8s/service.yaml

Define and provision infrastructure using declarative code.

# terraform/main.tf
provider "aws" {
  region = "us-east-1"
}
resource "aws_s3_bucket" "devops_bucket" {
  bucket = "devops-tutorial-bucket"
  acl    = "private"
}

Collect metrics, logs, and traces to maintain system reliability.

• Prometheus & Grafana for metrics
• ELK stack for logs
• Jaeger for distributed tracing