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DevOps and CI/CD: Software Processes Guide 2026

What is DevOps and how to set up CI/CD pipelines? Guide to software development processes, automation tools, container technologies and DevOps best practices.

DevOps and CI/CD: Software Processes Guide 2026

DevOps and CI/CD are the cornerstones of modern software development. In 2026, platform engineering, GitOps, AI-powered pipelines, and security-focused DevSecOps approaches are leading the way. This comprehensive guide explores DevOps culture, CI/CD pipeline stages, the most popular tools, container technologies, and best practices for building reliable delivery workflows.

🔄 What is DevOps?

Core Concepts and Philosophy

DevOps is a combination of Development and Operations. It is a set of practices, cultural philosophies, and tools that breaks down silos between software development teams and IT operations, enabling continuous delivery and continuous improvement.

Core principles of DevOps:

The DevOps Lifecycle

The DevOps process is designed as a continuous, repeating loop — often visualized as an infinity symbol:

  1. Plan: Define business requirements, user stories, and sprint goals
  2. Code: Write source code with version control (Git)
  3. Build: Compile and package the application
  4. Test: Execute automated unit, integration, and end-to-end tests
  5. Release: Prepare the release candidate with proper versioning
  6. Deploy: Deliver the application to production environments
  7. Operate: Manage infrastructure, handle incidents
  8. Monitor: Track performance, errors, and user behavior

🚀 What is a CI/CD Pipeline and How to Set One Up?

Continuous Integration (CI)

Continuous Integration is the practice of developers frequently merging their code changes into a shared repository. Each integration triggers automated build and test steps, catching bugs early and reducing integration conflicts.

Benefits of CI:

Typical CI Pipeline Steps:

  1. Developer commits code and pushes to the remote repository
  2. CI server detects changes via webhook or polling
  3. Automated build process is triggered
  4. Unit tests are executed
  5. Code quality analysis runs (SonarQube, CodeClimate, ESLint)
  6. Integration tests are executed
  7. Build artifacts are generated and stored

Continuous Delivery vs. Continuous Deployment

Continuous Delivery ensures that code is always in a deployable state. Deployment to production requires a manual approval step, giving teams control over release timing.

Continuous Deployment goes one step further — every change that passes all automated tests is automatically deployed to production with no human intervention.

CD Pipeline Stages:

🛠️ DevOps Tools Comparison

CI/CD Tools

The most popular CI/CD tools in 2026:

| Tool | Strengths | Best For | |------|-----------|----------| | GitHub Actions | Native GitHub integration, easy YAML config, marketplace | Open-source and GitHub-hosted projects | | GitLab CI/CD | Single platform, built-in container registry, auto DevOps | Enterprise projects | | Jenkins | Massive plugin ecosystem, flexibility, self-hosted | Large-scale complex pipelines | | ArgoCD | Kubernetes-native, GitOps-focused, declarative | Kubernetes deployments | | CircleCI | Fast startup, parallelism, orbs for reuse | SaaS and startup projects | | Tekton | Cloud-native, runs on Kubernetes, modular | Microservice architectures |

GitHub Actions Example Pipeline

name: CI/CD Pipeline
on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  build-and-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '20'
      - run: npm ci
      - run: npm run lint
      - run: npm run test -- --coverage
      - run: npm run build
      - name: Upload coverage
        uses: codecov/codecov-action@v4

  deploy:
    needs: build-and-test
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Deploy to Production
        run: |
          echo "Deploying to production..."

GitLab CI Example Pipeline

stages:
  - build
  - test
  - security
  - deploy

build:
  stage: build
  image: node:20-alpine
  script:
    - npm ci
    - npm run build
  artifacts:
    paths:
      - dist/

test:
  stage: test
  script:
    - npm run test:coverage
  coverage: '/Statements\s*:\s*(\d+\.?\d*)%/'

security-scan:
  stage: security
  script:
    - npm audit --audit-level=high
    - trivy image $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA

deploy-production:
  stage: deploy
  only:
    - main
  script:
    - kubectl apply -f k8s/

🐳 Container Technologies

Docker

Docker is a platform that allows you to package, distribute, and run applications inside lightweight, isolated containers.

Key advantages of Docker:

Optimized Multi-Stage Dockerfile Example:

# Build stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build

# Production stage
FROM node:20-alpine AS runtime
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
EXPOSE 3000
USER node
CMD ["node", "dist/main.js"]

Kubernetes (K8s)

Kubernetes is an open-source container orchestration platform that automates deployment, scaling, and management of containerized applications.

Core Kubernetes components:

Kubernetes Deployment Example:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: web-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: web-app
  template:
    metadata:
      labels:
        app: web-app
    spec:
      containers:
        - name: web-app
          image: myregistry/web-app:v1.2.0
          ports:
            - containerPort: 3000
          resources:
            requests:
              memory: "128Mi"
              cpu: "250m"
            limits:
              memory: "256Mi"
              cpu: "500m"
          livenessProbe:
            httpGet:
              path: /health
              port: 3000
            initialDelaySeconds: 10
          readinessProbe:
            httpGet:
              path: /ready
              port: 3000
            initialDelaySeconds: 5

🏗️ Infrastructure as Code (IaC)

Terraform

Terraform is HashiCorp's open-source tool for defining and managing infrastructure as code using a declarative configuration language (HCL).

Terraform advantages:

Terraform Example:

resource "aws_ecs_service" "web_app" {
  name            = "web-app-service"
  cluster         = aws_ecs_cluster.main.id
  task_definition = aws_ecs_task_definition.web_app.arn
  desired_count   = 3
  launch_type     = "FARGATE"

  network_configuration {
    subnets         = var.private_subnets
    security_groups = [aws_security_group.ecs.id]
  }

  load_balancer {
    target_group_arn = aws_lb_target_group.web_app.arn
    container_name   = "web-app"
    container_port   = 3000
  }
}

Ansible

Ansible is an agentless automation tool for configuration management, application deployment, and orchestration. It connects to servers via SSH and uses YAML-based playbooks to define desired states, making it ideal for provisioning and managing infrastructure at scale.

📊 Monitoring and Observability

Prometheus and Grafana

Prometheus is a time-series metrics collection and alerting system. Grafana is a visualization and dashboarding platform. Together, they form a powerful monitoring stack used across the industry.

Key metrics to monitor:

Log Management: ELK Stack and Alternatives

Popular centralized log management solutions:

For more on cloud-based development, check out our guide on Cloud Computing and Software Development.

🔒 DevSecOps: Security-First DevOps

DevSecOps integrates security practices into every stage of the software development lifecycle. The "shift-left security" principle means security testing starts as early as possible.

DevSecOps practices:

☁️ Cloud Deployment Strategies

Major Cloud Providers for DevOps

Deployment Strategies Explained

  1. Blue-Green Deployment: Maintain two identical environments, switch traffic instantly
  2. Canary Deployment: Route a small percentage of traffic to the new version first
  3. Rolling Update: Gradually replace old instances with new ones
  4. A/B Testing: Compare different versions with real user traffic
  5. Feature Flags: Toggle features on/off without redeployment (LaunchDarkly, Unleash)

🔄 GitOps and Platform Engineering

The GitOps Approach

GitOps uses a Git repository as the single source of truth for both infrastructure and application configuration. An operator continuously reconciles the desired state in Git with the actual state of the cluster.

GitOps tools:

Platform Engineering

Platform Engineering is one of the most significant DevOps trends in 2026. It focuses on building Internal Developer Platforms (IDPs) to improve developer experience and productivity.

Platform Engineering components:

📈 DevOps Trends for 2026

Key DevOps trends shaping 2026:

For more on the latest trends, see our article on Web Development Trends 2025.

❓ Frequently Asked Questions (FAQ)

What is DevOps and why is it important?

DevOps is a set of practices and cultural philosophies that unifies software development (Dev) and IT operations (Ops). It is important because it dramatically increases deployment frequency, reduces failure rates, and shortens the time between fixing a bug and deploying the fix. By fostering collaboration, automation, and shared responsibility, DevOps enables organizations to deliver software faster, more reliably, and with higher quality.

How do you set up a CI/CD pipeline?

To set up a CI/CD pipeline, start by choosing a version control platform (GitHub, GitLab, Bitbucket). Then select a CI/CD tool — GitHub Actions, GitLab CI, or Jenkins are popular choices. Define your pipeline stages in a YAML configuration file, typically including build, test, security scan, and deploy steps. Start simple with just build and test, then incrementally add complexity such as container builds, staging deployments, and production releases. Use infrastructure as code to make your pipeline reproducible.

What is the difference between Docker and Kubernetes?

Docker is a containerization platform that packages applications and their dependencies into portable containers. It handles creating, running, and managing individual containers on a single host. Kubernetes is a container orchestration platform that manages multiple containers across a cluster of machines. It provides automatic scaling, load balancing, self-healing, rolling updates, and service discovery. In simple terms: Docker builds and runs containers, Kubernetes orchestrates them at scale.

What is DevSecOps and how do you implement it?

DevSecOps integrates security into every phase of the DevOps lifecycle, rather than treating it as a separate gate. To implement it: add SAST tools (SonarQube, Semgrep) and DAST tools (OWASP ZAP) to your CI/CD pipeline, scan dependencies for known vulnerabilities, analyze container images with tools like Trivy, manage secrets with HashiCorp Vault, and define security policies as code with OPA. The key principle is "shift-left" — move security testing as early as possible in the development process.

What is GitOps and how does it differ from traditional CI/CD?

GitOps is an operational framework where Git is the single source of truth for both infrastructure and application configurations. Traditional CI/CD uses a push-based model where the pipeline pushes changes to the target environment. GitOps uses a pull-based model where an operator (like ArgoCD or Flux) continuously watches the Git repository and reconciles any differences between desired state and actual state. This provides better auditability, easier rollbacks, and improved security since the cluster pulls changes rather than external systems pushing to it.

Conclusion

DevOps and CI/CD are essential pillars of software development in 2026. Platform engineering, GitOps, AI-powered automation, and DevSecOps practices are enabling software teams to deliver faster, more securely, and more efficiently than ever before. A successful DevOps transformation requires not just the right tools, but also a cultural shift toward collaboration, shared ownership, and continuous improvement.

At Cesa Software, our expert team provides DevOps consulting, CI/CD pipeline setup, container architecture design, and cloud infrastructure solutions. Contact us to discuss your project needs.