DevOps for Beginners: Master CI/CD and Automation

Learn DevOps fundamentals including CI/CD pipelines, Docker containerization, Kubernetes orchestration, and automation best practices for beginners.

DevOps for Beginners: Understanding CI/CD and Automation

Table of Contents

1. [Introduction to DevOps](#introduction-to-devops) 2. [Version Control Systems](#version-control-systems) 3. [Continuous Integration (CI)](#continuous-integration-ci) 4. [Continuous Delivery and Deployment (CD)](#continuous-delivery-and-deployment-cd) 5. [Containerization with Docker](#containerization-with-docker) 6. [Container Orchestration with Kubernetes](#container-orchestration-with-kubernetes) 7. [Automation Tools and Practices](#automation-tools-and-practices) 8. [Building Your First CI/CD Pipeline](#building-your-first-cicd-pipeline) 9. [Best Practices and Common Pitfalls](#best-practices-and-common-pitfalls) 10. [Conclusion and Next Steps](#conclusion-and-next-steps)

Introduction to DevOps

DevOps represents a cultural and technical revolution in software development, bridging the gap between development (Dev) and operations (Ops) teams. At its core, DevOps is about breaking down silos, improving collaboration, and automating processes to deliver software faster, more reliably, and with higher quality.

What is DevOps?

DevOps is a set of practices, tools, and cultural philosophies that automate and integrate the processes between software development and IT operations teams. The primary goal is to shorten the development lifecycle while delivering features, fixes, and updates frequently in close alignment with business objectives.

The DevOps Lifecycle

` [Plan] → [Code] → [Build] → [Test] → [Release] → [Deploy] → [Operate] → [Monitor] ↑ ↓ ←←←←←←←←←←←←←←←←←← [Feedback Loop] ←←←←←←←←←←←←←←←←←←←←←←←←←←←←←← `

This continuous cycle ensures that: - Planning involves collaboration between teams - Code is version-controlled and reviewed - Building is automated and consistent - Testing happens continuously - Release and Deployment are automated - Operations and Monitoring provide feedback for improvement

Benefits of DevOps

1. Faster Time to Market: Automated processes reduce manual bottlenecks 2. Improved Quality: Continuous testing catches issues early 3. Better Collaboration: Teams work together toward common goals 4. Increased Reliability: Automated deployments reduce human error 5. Enhanced Security: Security practices are integrated throughout the pipeline

Version Control Systems

Version control is the foundation of modern software development and DevOps practices. It tracks changes to code over time, enables collaboration, and provides the ability to revert to previous versions when needed.

Understanding Git

Git is the most popular distributed version control system. Unlike centralized systems, Git allows every developer to have a complete copy of the project history.

#### Basic Git Workflow

` Working Directory → Staging Area → Local Repository → Remote Repository ↓ ↓ ↓ ↓ [git add] [git commit] [git push] [GitHub/GitLab] `

Essential Git Commands

`bash

Initialize a new repository

git init

Clone an existing repository

git clone https://github.com/username/repository.git

Check status of files

git status

Add files to staging area

git add filename.txt git add . # Add all files

Commit changes

git commit -m "Add new feature"

Push to remote repository

git push origin main

Pull latest changes

git pull origin main

Create and switch to new branch

git checkout -b feature-branch

Merge branches

git merge feature-branch `

Branching Strategies

#### Git Flow Model

` main branch: ●────●────●────●────● ↑ ↑ ↑ develop branch: ●────●────●────●────● ↑ ↑ feature branch: ●────●────● ↑ hotfix branch: ●────● `

Branch Types: - Main/Master: Production-ready code - Develop: Integration branch for features - Feature: Individual feature development - Hotfix: Quick fixes for production issues

Real Example: Setting Up a Repository

Let's create a simple web application repository:

`bash

Create project directory

mkdir my-web-app cd my-web-app

Initialize Git repository

git init

Create basic files

echo "# My Web Application" > README.md echo "console.log('Hello, DevOps!');" > app.js echo "node_modules/" > .gitignore

Add and commit files

git add . git commit -m "Initial commit: Add basic project structure"

Add remote repository

git remote add origin https://github.com/yourusername/my-web-app.git

Push to remote

git push -u origin main `

Continuous Integration (CI)

Continuous Integration is the practice of automatically building, testing, and integrating code changes from multiple contributors into a shared repository frequently, typically multiple times per day.

CI Workflow

` Developer → Code Change → Git Push → CI Server → Build → Test → Notification ↑ ↓ ←←←←←←←←←←←← Feedback (Success/Failure) ←←←←←←←←←←←←←←←←←←←←←← `

Benefits of CI

1. Early Bug Detection: Issues are caught quickly 2. Reduced Integration Problems: Small, frequent changes are easier to debug 3. Improved Code Quality: Automated testing ensures standards 4. Faster Development: Quick feedback loops accelerate development

CI Tools and Platforms

#### Popular CI Platforms

1. Jenkins: Open-source automation server 2. GitHub Actions: Integrated with GitHub repositories 3. GitLab CI/CD: Built into GitLab 4. CircleCI: Cloud-based CI/CD platform 5. Travis CI: Simple CI for open-source projects

GitHub Actions Example

Create .github/workflows/ci.yml in your repository:

`yaml name: CI Pipeline

on: push: branches: [ main, develop ] pull_request: branches: [ main ]

jobs: test: runs-on: ubuntu-latest strategy: matrix: node-version: [14.x, 16.x, 18.x] steps: - uses: actions/checkout@v3 - name: Use Node.js $# uses: actions/setup-node@v3 with: node-version: $# cache: 'npm' - name: Install dependencies run: npm ci - name: Run linting run: npm run lint - name: Run tests run: npm test - name: Run build run: npm run build - name: Upload coverage reports uses: codecov/codecov-action@v3 `

Jenkins Pipeline Example

Create a Jenkinsfile in your repository:

`groovy pipeline { agent any tools { nodejs 'NodeJS-16' } stages { stage('Checkout') { steps { checkout scm } } stage('Install Dependencies') { steps { sh 'npm ci' } } stage('Lint') { steps { sh 'npm run lint' } } stage('Test') { steps { sh 'npm test' } post { always { publishTestResults testResultsPattern: 'test-results.xml' } } } stage('Build') { steps { sh 'npm run build' } } stage('Archive Artifacts') { steps { archiveArtifacts artifacts: 'dist//*', allowEmptyArchive: false } } } post { failure { emailext ( subject: "Build Failed: ${env.JOB_NAME} - ${env.BUILD_NUMBER}", body: "Build failed. Check console output at ${env.BUILD_URL}", to: "${env.CHANGE_AUTHOR_EMAIL}" ) } } } `

Continuous Delivery and Deployment (CD)

Continuous Delivery (CD) extends CI by automatically deploying code changes to testing and staging environments. Continuous Deployment goes further by automatically deploying to production.

CD vs CD: Understanding the Difference

` Continuous Delivery: Code → Build → Test → Staging → [Manual Approval] → Production

Continuous Deployment: Code → Build → Test → Staging → [Automated Checks] → Production `

Deployment Strategies

#### 1. Blue-Green Deployment

` Blue Environment (Current): [Load Balancer] → [Blue Servers] (v1.0) ↓ Green Environment (New): [Green Servers] (v1.1)

After Switch: Blue Environment (Idle): [Load Balancer] → [Green Servers] (v1.1) ↓ Green Environment (Current): [Blue Servers] (v1.0) `

Benefits: - Zero downtime deployments - Easy rollback capability - Full testing of production environment

#### 2. Canary Deployment

` Production Traffic: 90% → [Stable Version] (v1.0) 10% → [Canary Version] (v1.1)

Gradual Rollout: 70% → [Stable Version] (v1.0) 50% → [Stable Version] (v1.0) 0% → [Stable Version] (v1.0) 30% → [Canary Version] (v1.1) → 50% → [Canary Version] (v1.1) → 100% → [Canary Version] (v1.1) `

Benefits: - Reduced risk of widespread issues - Real user feedback on new features - Gradual performance monitoring

#### 3. Rolling Deployment

` Initial State: [Server 1] [Server 2] [Server 3] [Server 4] (all v1.0) Step 1: [Server 1] [Server 2] [Server 3] [Server 4*] (v1.1) Step 2: [Server 1] [Server 2] [Server 3*] [Server 4] (v1.1) Step 3: [Server 1] [Server 2*] [Server 3] [Server 4] (v1.1) Final State: [Server 1*] [Server 2] [Server 3] [Server 4] (all v1.1) `

GitLab CI/CD Pipeline Example

Create .gitlab-ci.yml:

`yaml stages: - build - test - deploy-staging - deploy-production

variables: DOCKER_IMAGE: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA

build: stage: build script: - docker build -t $DOCKER_IMAGE . - docker push $DOCKER_IMAGE only: - main - develop

test: stage: test script: - npm ci - npm run test:coverage coverage: '/Lines\s:\s(\d+\.\d+)%/' artifacts: reports: coverage_report: coverage_format: cobertura path: coverage/cobertura-coverage.xml

deploy-staging: stage: deploy-staging script: - kubectl set image deployment/myapp myapp=$DOCKER_IMAGE -n staging - kubectl rollout status deployment/myapp -n staging environment: name: staging url: https://staging.myapp.com only: - develop

deploy-production: stage: deploy-production script: - kubectl set image deployment/myapp myapp=$DOCKER_IMAGE -n production - kubectl rollout status deployment/myapp -n production environment: name: production url: https://myapp.com when: manual only: - main `

Containerization with Docker

Docker revolutionizes application deployment by packaging applications and their dependencies into lightweight, portable containers.

What is Docker?

Docker is a platform that uses containerization technology to package applications with all their dependencies, ensuring they run consistently across different environments.

Docker Architecture

` Docker Architecture:

[Docker Client] ←→ [Docker Daemon] ←→ [Docker Registry] ↓ [Docker Images] ↓ [Docker Containers] ↓ [Host Operating System] `

Key Docker Concepts

1. Image: A read-only template used to create containers 2. Container: A runnable instance of an image 3. Dockerfile: A text file containing instructions to build an image 4. Registry: A service for storing and distributing Docker images

Creating Your First Dockerfile

Here's a complete example for a Node.js application:

`dockerfile

Use official Node.js runtime as base image

FROM node:16-alpine

Set working directory in container

WORKDIR /app

Copy package.json and package-lock.json

COPY package*.json ./

Install dependencies

RUN npm ci --only=production && npm cache clean --force

Copy application code

COPY . .

Create non-root user for security

RUN addgroup -g 1001 -S nodejs RUN adduser -S nextjs -u 1001

Change ownership of app directory

RUN chown -R nextjs:nodejs /app

Switch to non-root user

USER nextjs

Expose port

EXPOSE 3000

Health check

HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ CMD curl -f http://localhost:3000/health || exit 1

Start application

CMD ["npm", "start"] `

Essential Docker Commands

`bash

Build an image

docker build -t myapp:latest .

Run a container

docker run -d -p 3000:3000 --name myapp-container myapp:latest

List running containers

docker ps

List all containers

docker ps -a

View container logs

docker logs myapp-container

Execute command in running container

docker exec -it myapp-container /bin/sh

Stop container

docker stop myapp-container

Remove container

docker rm myapp-container

Remove image

docker rmi myapp:latest

Pull image from registry

docker pull nginx:alpine

Push image to registry

docker push myregistry.com/myapp:latest `

Docker Compose for Multi-Container Applications

Create docker-compose.yml:

`yaml version: '3.8'

services: app: build: . ports: - "3000:3000" environment: - NODE_ENV=production - DATABASE_URL=postgresql://user:password@db:5432/myapp depends_on: - db - redis volumes: - ./logs:/app/logs restart: unless-stopped

db: image: postgres:13-alpine environment: - POSTGRES_DB=myapp - POSTGRES_USER=user - POSTGRES_PASSWORD=password volumes: - postgres_data:/var/lib/postgresql/data - ./init.sql:/docker-entrypoint-initdb.d/init.sql restart: unless-stopped

redis: image: redis:6-alpine command: redis-server --appendonly yes volumes: - redis_data:/data restart: unless-stopped

nginx: image: nginx:alpine ports: - "80:80" - "443:443" volumes: - ./nginx.conf:/etc/nginx/nginx.conf - ./ssl:/etc/nginx/ssl depends_on: - app restart: unless-stopped

volumes: postgres_data: redis_data:

networks: default: driver: bridge `

Docker Compose Commands

`bash

Start all services

docker-compose up -d

View logs

docker-compose logs -f

Scale a service

docker-compose up -d --scale app=3

Stop all services

docker-compose down

Rebuild and start

docker-compose up -d --build

Execute command in service

docker-compose exec app /bin/sh `

Container Orchestration with Kubernetes

Kubernetes (K8s) is a powerful container orchestration platform that automates the deployment, scaling, and management of containerized applications.

Kubernetes Architecture

` Kubernetes Cluster:

Master Node: ├── API Server ├── etcd (Key-Value Store) ├── Controller Manager └── Scheduler

Worker Nodes: ├── Node 1 │ ├── kubelet │ ├── kube-proxy │ └── Pods ├── Node 2 │ ├── kubelet │ ├── kube-proxy │ └── Pods └── Node N ├── kubelet ├── kube-proxy └── Pods `

Key Kubernetes Concepts

1. Pod: Smallest deployable unit, contains one or more containers 2. Deployment: Manages replicas of pods 3. Service: Provides stable network endpoint for pods 4. ConfigMap: Stores configuration data 5. Secret: Stores sensitive data like passwords 6. Ingress: Manages external access to services

Kubernetes Manifest Examples

#### Deployment

Create deployment.yaml:

`yaml apiVersion: apps/v1 kind: Deployment metadata: name: myapp-deployment labels: app: myapp spec: replicas: 3 selector: matchLabels: app: myapp template: metadata: labels: app: myapp spec: containers: - name: myapp image: myregistry.com/myapp:v1.0.0 ports: - containerPort: 3000 env: - name: NODE_ENV value: "production" - name: DATABASE_URL valueFrom: secretKeyRef: name: myapp-secrets key: database-url resources: requests: memory: "128Mi" cpu: "100m" limits: memory: "256Mi" cpu: "200m" livenessProbe: httpGet: path: /health port: 3000 initialDelaySeconds: 30 periodSeconds: 10 readinessProbe: httpGet: path: /ready port: 3000 initialDelaySeconds: 5 periodSeconds: 5 `

#### Service

Create service.yaml:

`yaml apiVersion: v1 kind: Service metadata: name: myapp-service spec: selector: app: myapp ports: - protocol: TCP port: 80 targetPort: 3000 type: ClusterIP `

#### ConfigMap

Create configmap.yaml:

`yaml apiVersion: v1 kind: ConfigMap metadata: name: myapp-config data: app.properties: | log.level=info cache.enabled=true cache.ttl=3600 nginx.conf: | server { listen 80; server_name myapp.com; location / { proxy_pass http://myapp-service:80; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; } } `

#### Secret

Create secret.yaml:

`yaml apiVersion: v1 kind: Secret metadata: name: myapp-secrets type: Opaque data: database-url: cG9zdGdyZXNxbDovL3VzZXI6cGFzc3dvcmRAZGI6NTQzMi9teWFwcA== api-key: bXlfc2VjcmV0X2FwaV9rZXk= `

#### Ingress

Create ingress.yaml:

`yaml apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: myapp-ingress annotations: nginx.ingress.kubernetes.io/rewrite-target: / cert-manager.io/cluster-issuer: "letsencrypt-prod" spec: tls: - hosts: - myapp.com secretName: myapp-tls rules: - host: myapp.com http: paths: - path: / pathType: Prefix backend: service: name: myapp-service port: number: 80 `

Essential kubectl Commands

`bash

Apply configurations

kubectl apply -f deployment.yaml kubectl apply -f service.yaml kubectl apply -f configmap.yaml

Get resources

kubectl get pods kubectl get services kubectl get deployments kubectl get nodes

Describe resources

kubectl describe pod kubectl describe service

View logs

kubectl logs kubectl logs -f deployment/myapp-deployment

Execute commands in pods

kubectl exec -it -- /bin/sh

Scale deployment

kubectl scale deployment myapp-deployment --replicas=5

Update deployment

kubectl set image deployment/myapp-deployment myapp=myregistry.com/myapp:v1.1.0

Check rollout status

kubectl rollout status deployment/myapp-deployment

Rollback deployment

kubectl rollout undo deployment/myapp-deployment

Port forwarding for testing

kubectl port-forward service/myapp-service 8080:80

Create namespace

kubectl create namespace staging

Switch context

kubectl config set-context --current --namespace=staging `

Automation Tools and Practices

Automation is the backbone of DevOps, reducing manual effort, minimizing errors, and ensuring consistency across environments.

Infrastructure as Code (IaC)

Infrastructure as Code treats infrastructure configuration as software code, making it version-controlled, testable, and repeatable.

#### Terraform Example

Create main.tf:

`hcl

Configure AWS Provider

terraform { required_providers { aws = { source = "hashicorp/aws" version = "~> 4.0" } } }

provider "aws" { region = var.aws_region }

Variables

variable "aws_region" { description = "AWS region" type = string default = "us-west-2" }

variable "environment" { description = "Environment name" type = string default = "production" }

VPC

resource "aws_vpc" "main" { cidr_block = "10.0.0.0/16" enable_dns_hostnames = true enable_dns_support = true

tags = { Name = "${var.environment}-vpc" Environment = var.environment } }

Internet Gateway

resource "aws_internet_gateway" "main" { vpc_id = aws_vpc.main.id

tags = { Name = "${var.environment}-igw" Environment = var.environment } }

Subnets

resource "aws_subnet" "public" { count = 2 vpc_id = aws_vpc.main.id cidr_block = "10.0.${count.index + 1}.0/24" availability_zone = data.aws_availability_zones.available.names[count.index]

map_public_ip_on_launch = true

tags = { Name = "${var.environment}-public-${count.index + 1}" Environment = var.environment } }

Security Group

resource "aws_security_group" "web" { name = "${var.environment}-web-sg" description = "Security group for web servers" vpc_id = aws_vpc.main.id

ingress { from_port = 80 to_port = 80 protocol = "tcp" cidr_blocks = ["0.0.0.0/0"] }

ingress { from_port = 443 to_port = 443 protocol = "tcp" cidr_blocks = ["0.0.0.0/0"] }

egress { from_port = 0 to_port = 0 protocol = "-1" cidr_blocks = ["0.0.0.0/0"] }

tags = { Name = "${var.environment}-web-sg" Environment = var.environment } }

Launch Template

resource "aws_launch_template" "app" { name_prefix = "${var.environment}-app-" image_id = data.aws_ami.amazon_linux.id instance_type = "t3.micro"

vpc_security_group_ids = [aws_security_group.web.id]

user_data = base64encode(templatefile("${path.module}/user_data.sh", { environment = var.environment }))

tag_specifications { resource_type = "instance" tags = { Name = "${var.environment}-app" Environment = var.environment } } }

Auto Scaling Group

resource "aws_autoscaling_group" "app" { name = "${var.environment}-app-asg" vpc_zone_identifier = aws_subnet.public[*].id target_group_arns = [aws_lb_target_group.app.arn] health_check_type = "ELB"

min_size = 2 max_size = 10 desired_capacity = 3

launch_template { id = aws_launch_template.app.id version = "$Latest" }

tag { key = "Name" value = "${var.environment}-app-asg" propagate_at_launch = false } }

Application Load Balancer

resource "aws_lb" "app" { name = "${var.environment}-app-alb" internal = false load_balancer_type = "application" security_groups = [aws_security_group.web.id] subnets = aws_subnet.public[*].id

enable_deletion_protection = false

tags = { Name = "${var.environment}-app-alb" Environment = var.environment } }

Target Group

resource "aws_lb_target_group" "app" { name = "${var.environment}-app-tg" port = 80 protocol = "HTTP" vpc_id = aws_vpc.main.id

health_check { enabled = true healthy_threshold = 2 interval = 30 matcher = "200" path = "/health" port = "traffic-port" protocol = "HTTP" timeout = 5 unhealthy_threshold = 2 }

tags = { Name = "${var.environment}-app-tg" Environment = var.environment } }

Load Balancer Listener

resource "aws_lb_listener" "app" { load_balancer_arn = aws_lb.app.arn port = "80" protocol = "HTTP"

default_action { type = "forward" target_group_arn = aws_lb_target_group.app.arn } }

Data Sources

data "aws_availability_zones" "available" { state = "available" }

data "aws_ami" "amazon_linux" { most_recent = true owners = ["amazon"]

filter { name = "name" values = ["amzn2-ami-hvm-*-x86_64-gp2"] } }

Outputs

output "load_balancer_dns" { description = "DNS name of the load balancer" value = aws_lb.app.dns_name }

output "vpc_id" { description = "VPC ID" value = aws_vpc.main.id } `

#### Ansible Playbook Example

Create playbook.yml:

`yaml --- - name: Deploy Web Application hosts: webservers become: yes vars: app_name: myapp app_version: "#" app_port: 3000 tasks: - name: Update system packages yum: name: "*" state: latest - name: Install Docker yum: name: docker state: present - name: Start Docker service systemd: name: docker state: started enabled: yes - name: Add user to docker group user: name: "#" groups: docker append: yes - name: Install Docker Compose pip: name: docker-compose state: present - name: Create application directory file: path: "/opt/#" state: directory owner: "#" group: "#" mode: '0755' - name: Copy docker-compose file template: src: docker-compose.yml.j2 dest: "/opt/#/docker-compose.yml" owner: "#" group: "#" mode: '0644' notify: restart application - name: Copy application configuration template: src: app.conf.j2 dest: "/opt/#/app.conf" owner: "#" group: "#" mode: '0644' notify: restart application - name: Pull Docker images docker_image: name: "myregistry.com/#:#" source: pull - name: Start application docker_compose: project_src: "/opt/#" state: present - name: Configure firewall firewalld: port: "#/tcp" permanent: yes state: enabled immediate: yes handlers: - name: restart application docker_compose: project_src: "/opt/#" restarted: yes `

Monitoring and Alerting

#### Prometheus Configuration

Create prometheus.yml:

`yaml global: scrape_interval: 15s evaluation_interval: 15s

rule_files: - "alert_rules.yml"

alerting: alertmanagers: - static_configs: - targets: - alertmanager:9093

scrape_configs: - job_name: 'prometheus' static_configs: - targets: ['localhost:9090']

- job_name: 'node-exporter' static_configs: - targets: ['node-exporter:9100']

- job_name: 'myapp' static_configs: - targets: ['myapp:3000'] metrics_path: '/metrics' scrape_interval: 30s

- job_name: 'kubernetes-pods' kubernetes_sd_configs: - role: pod relabel_configs: - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape] action: keep regex: true - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path] action: replace target_label: __metrics_path__ regex: (.+) `

#### Alert Rules

Create alert_rules.yml:

`yaml groups: - name: application_alerts rules: - alert: HighErrorRate expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.1 for: 5m labels: severity: critical annotations: summary: "High error rate detected" description: "Error rate is # errors per second"

- alert: HighMemoryUsage expr: (node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes) / node_memory_MemTotal_bytes > 0.8 for: 5m labels: severity: warning annotations: summary: "High memory usage" description: "Memory usage is above 80%"

- alert: ServiceDown expr: up == 0 for: 1m labels: severity: critical annotations: summary: "Service is down" description: "# service is down" `

Building Your First CI/CD Pipeline

Let's create a complete CI/CD pipeline for a Node.js application using GitHub Actions.

Project Structure

` my-web-app/ ├── .github/ │ └── workflows/ │ └── ci-cd.yml ├── src/ │ ├── app.js │ ├── routes/ │ └── middleware/ ├── tests/ │ ├── unit/ │ └── integration/ ├── docker/ │ ├── Dockerfile │ └── docker-compose.yml ├── k8s/ │ ├── deployment.yml │ ├── service.yml │ └── ingress.yml ├── package.json ├── .dockerignore ├── .gitignore └── README.md `

Complete CI/CD Pipeline

Create .github/workflows/ci-cd.yml:

`yaml name: CI/CD Pipeline

on: push: branches: [ main, develop ] pull_request: branches: [ main ]

env: REGISTRY: ghcr.io IMAGE_NAME: $#

jobs: # Continuous Integration test: name: Test and Build runs-on: ubuntu-latest strategy: matrix: node-version: [16.x, 18.x] steps: - name: Checkout code uses: actions/checkout@v3 - name: Setup Node.js $# uses: actions/setup-node@v3 with: node-version: $# cache: 'npm' - name: Install dependencies run: npm ci - name: Run linting run: npm run lint - name: Run unit tests run: npm run test:unit - name: Run integration tests run: npm run test:integration - name: Generate test coverage run: npm run test:coverage - name: Upload coverage to Codecov uses: codecov/codecov-action@v3 with: file: ./coverage/lcov.info - name: Build application run: npm run build - name: Archive build artifacts uses: actions/upload-artifact@v3 with: name: build-files path: dist/

# Security Scanning security: name: Security Scan runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v3 - name: Run npm audit run: npm audit --audit-level moderate - name: Run Snyk to check for vulnerabilities uses: snyk/actions/node@master env: SNYK_TOKEN: $#

# Docker Build and Push build-and-push: name: Build and Push Docker Image runs-on: ubuntu-latest needs: [test, security] if: github.ref == 'refs/heads/main' permissions: contents: read packages: write steps: - name: Checkout code uses: actions/checkout@v3 - name: Log in to Container Registry uses: docker/login-action@v2 with: registry: $# username: $# password: $# - name: Extract metadata id: meta uses: docker/metadata-action@v4 with: images: $#/$# tags: | type=ref,event=branch type=sha,prefix=#- type=raw,value=latest,enable=# - name: Build and push Docker image uses: docker/build-push-action@v4 with: context: . file: ./docker/Dockerfile push: true tags: $# labels: $#

# Deploy to Staging deploy-staging: name: Deploy to Staging runs-on: ubuntu-latest needs: build-and-push if: github.ref == 'refs/heads/develop' environment: name: staging url: https://staging.myapp.com steps: - name: Checkout code uses: actions/checkout@v3 - name: Setup kubectl uses: azure/setup-kubectl@v3 with: version: 'v1.25.0' - name: Configure AWS credentials uses: aws-actions/configure-aws-credentials@v2 with: aws-access-key-id: $# aws-secret-access-key: $# aws-region: us-west-2 - name: Update kube config run: aws eks update-kubeconfig --name staging-cluster - name: Deploy to staging run: | sed -i 's|IMAGE_TAG|$#|g' k8s/deployment.yml kubectl apply -f k8s/ -n staging kubectl rollout status deployment/myapp -n staging

# Deploy to Production deploy-production: name: Deploy to Production runs-on: ubuntu-latest needs: build-and-push if: github.ref == 'refs/heads/main' environment: name: production url: https://myapp.com steps: - name: Checkout code uses: actions/checkout@v3 - name: Setup kubectl uses: azure/setup-kubectl@v3 with: version: 'v1.25.0' - name: Configure AWS credentials uses: aws-actions/configure-aws-credentials@v2 with: aws-access-key-id: $# aws-secret-access-key: $# aws-region: us-west-2 - name: Update kube config run: aws eks update-kubeconfig --name production-cluster - name: Deploy to production run: | sed -i 's|IMAGE_TAG|$#|g' k8s/deployment.yml kubectl apply -f k8s/ -n production kubectl rollout status deployment/myapp -n production - name: Run smoke tests run: | curl -f https://myapp.com/health || exit 1 curl -f https://myapp.com/api/status || exit 1

# Notify notify: name: Notify Team runs-on: ubuntu-latest needs: [deploy-production] if: always() steps: - name: Notify Slack uses: 8398a7/action-slack@v3 with: status: $# channel: '#deployments' webhook_url: $# if: always() `

Application Code Example

Create src/app.js:

`javascript const express = require('express'); const prometheus = require('prom-client'); const app = express(); const port = process.env.PORT || 3000;

// Prometheus metrics const collectDefaultMetrics = prometheus.collectDefaultMetrics; collectDefaultMetrics({ timeout: 5000 });

const httpRequestDuration = new prometheus.Histogram({ name: 'http_request_duration_seconds', help: 'Duration of HTTP requests in seconds', labelNames: ['method', 'route', 'status_code'], buckets: [0.1, 0.3, 0.5, 0.7, 1, 3, 5, 7, 10] });

const httpRequestTotal = new prometheus.Counter({ name: 'http_requests_total', help: 'Total number of HTTP requests', labelNames: ['method', 'route', 'status_code'] });

// Middleware app.use(express.json());

app.use((req, res, next) => { const start = Date.now(); res.on('finish', () => { const duration = (Date.now() - start) / 1000; const labels = { method: req.method, route: req.route?.path || req.path, status_code: res.statusCode }; httpRequestDuration.observe(labels, duration); httpRequestTotal.inc(labels); }); next(); });

// Routes app.get('/health', (req, res) => { res.status(200).json({ status: 'healthy', timestamp: new Date().toISOString(), uptime: process.uptime() }); });

app.get('/ready', (req, res) => { // Add readiness checks here (database, external services, etc.) res.status(200).json({ status: 'ready', timestamp: new Date().toISOString() }); });

app.get('/metrics', (req, res) => { res.set('Content-Type', prometheus.register.contentType); res.end(prometheus.register.metrics()); });

app.get('/', (req, res) => { res.json({ message: 'Hello, DevOps World!', version: process.env.APP_VERSION || '1.0.0', environment: process.env.NODE_ENV || 'development' }); });

app.get('/api/status', (req, res) => { res.json({ status: 'running', timestamp: new Date().toISOString(), memory: process.memoryUsage(), uptime: process.uptime() }); });

// Error handling app.use((err, req, res, next) => { console.error(err.stack); res.status(500).json({ error: 'Something went wrong!', timestamp: new Date().toISOString() }); });

// 404 handler app.use((req, res) => { res.status(404).json({ error: 'Not found', path: req.path, timestamp: new Date().toISOString() }); });

// Graceful shutdown process.on('SIGTERM', () => { console.log('SIGTERM received, shutting down gracefully'); server.close(() => { console.log('Process terminated'); }); });

const server = app.listen(port, () => { console.log(Server running on port ${port}); });

module.exports = app; `

Best Practices and Common Pitfalls

DevOps Best Practices

#### 1. Start Small and Iterate

` Traditional Approach: [Planning] → [Big Bang Implementation] → [Hope for Success]

DevOps Approach: [Small Change] → [Test] → [Learn] → [Iterate] → [Improve] `

#### 2. Implement Proper Monitoring

` Monitoring Pyramid:

Application Metrics (Business KPIs) ↑ Infrastructure Metrics (CPU, Memory, Disk) ↑ Log Aggregation (Centralized Logging) ↑ Health Checks (Basic Availability) `

#### 3. Security Integration (DevSecOps)

` Traditional Security: [Develop] → [Test] → [Security Review] → [Deploy]

DevSecOps: [Develop] → [Security Scan] → [Test] → [Security Test] → [Deploy] → [Monitor] `

Common Pitfalls and Solutions

#### 1. Inadequate Testing

Problem: Rushing to automate without proper testing Solution: Implement comprehensive testing strategy

`yaml

Testing Strategy

testing: unit_tests: coverage_threshold: 80% tools: [jest, mocha] integration_tests: database: true external_apis: true e2e_tests: critical_paths: true browser_testing: [chrome, firefox] performance_tests: load_testing: true stress_testing: true security_tests: vulnerability_scanning: true dependency_checking: true `

#### 2. Ignoring Rollback Strategies

Problem: No plan for when deployments go wrong Solution: Always have a rollback plan

`bash

Kubernetes rollback example

kubectl rollout undo deployment/myapp

Blue-green deployment rollback

Simply switch traffic back to previous version

Database migration rollback

Always write reversible migrations

`

#### 3. Poor Secret Management

Problem: Hardcoding secrets in code or configs Solution: Use proper secret management

`yaml

Kubernetes secrets

apiVersion: v1 kind: Secret metadata: name: app-secrets type: Opaque data: database-password: api-key:

---

Using secrets in deployment

spec: containers: - name: app env: - name: DB_PASSWORD valueFrom: secretKeyRef: name: app-secrets key: database-password `

#### 4. Lack of Documentation

Problem: Undocumented processes and configurations Solution: Document everything as code

`markdown

README.md Template

Project Overview

- Purpose and goals - Architecture diagram - Technology stack

Development Setup

- Prerequisites - Installation steps - Configuration

Deployment

- Environments - Deployment process - Rollback procedures

Monitoring and Troubleshooting

- Key metrics - Common issues - Support contacts `

Performance Optimization

#### 1. Docker Image Optimization

`dockerfile

Multi-stage build for smaller images

FROM node:16-alpine AS builder WORKDIR /app COPY package*.json ./ RUN npm ci --only=production && npm cache clean --force

FROM node:16-alpine AS runtime RUN addgroup -g 1001 -S nodejs RUN adduser -S nextjs -u 1001

WORKDIR /app COPY --from=builder /app/node_modules ./node_modules COPY --chown=nextjs:nodejs . .

USER nextjs EXPOSE 3000 CMD ["node", "server.js"] `

#### 2. Pipeline Optimization

`yaml

Parallel job execution

jobs: test: strategy: matrix: test-type: [unit, integration, e2e] runs-on: ubuntu-latest steps: - name: Run $# tests run: npm run test:$#

# Cache dependencies - name: Cache Node modules uses: actions/cache@v3 with: path: ~/.npm key: $#-node-$# `

Conclusion and Next Steps

DevOps is a journey, not a destination. This guide has covered the fundamental concepts and practices that form the foundation of modern DevOps:

Key Takeaways

1. Culture First: DevOps is as much about culture and collaboration as it is about tools 2. Automation: Automate repetitive tasks to reduce errors and increase efficiency 3. Continuous Learning: The DevOps landscape evolves rapidly; stay current with new tools and practices 4. Measure Everything: Use metrics to drive decisions and improvements 5. Start Small: Begin with simple implementations and gradually increase complexity

Your DevOps Learning Path

` Foundation (Months 1-2): ├── Git and Version Control ├── Basic Linux/Command Line ├── Understanding CI/CD Concepts └── Docker Basics

Intermediate (Months 3-6): ├── Advanced Docker and Docker Compose ├── Kubernetes Fundamentals ├── Infrastructure as Code (Terraform) ├── Monitoring and Logging └── Security Best Practices

Advanced (Months 6+): ├── Advanced Kubernetes (Helm, Operators) ├── Service Mesh (Istio, Linkerd) ├── Advanced Monitoring (Prometheus, Grafana) ├── GitOps (ArgoCD, Flux) └── Cloud-Native Technologies `

Recommended Next Steps

1. Practice: Set up your own CI/CD pipeline using the examples in this guide 2. Experiment: Try different tools and approaches to find what works best for your use case 3. Join Communities: Engage with DevOps communities, forums, and local meetups 4. Certifications: Consider pursuing relevant certifications (AWS, Azure, Kubernetes, Docker) 5. Read and Learn: Stay updated with DevOps blogs, books, and documentation

Resources for Continued Learning

- Books: "The Phoenix Project", "The DevOps Handbook", "Accelerate" - Online Platforms: Kubernetes Academy, Docker Training, Cloud Provider Training - Communities: DevOps subreddit, CNCF Slack, local DevOps meetups - Conferences: KubeCon, DockerCon, DevOps Enterprise Summit

Remember, DevOps is about continuous improvement. Start with the basics, practice regularly, and gradually expand your knowledge and skills. The journey may seem overwhelming at first, but with consistent effort and hands-on practice, you'll develop the expertise needed to implement effective DevOps practices in your organization.

The future of software development lies in the seamless integration of development and operations, and by mastering these concepts, you're positioning yourself at the forefront of this technological evolution. Good luck on your DevOps journey!

Tags

  • Automation
  • CI/CD
  • docker
  • kubernetes

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