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What is CI/CD?

Lesson 11/50 | Study Time: 40 Min

Every DevOps team has one shared goal that is get good software into the hands of users quickly and reliably. CI/CD is the practice that makes this possible. It is the backbone of modern software delivery.

What is CI/CD?

CI/CD stands for Continuous Integration and Continuous Delivery (or Continuous Deployment). It is a set of practices and automated processes that allow teams to deliver code changes frequently, safely, and with minimal manual effort.

Before CI/CD, software releases were large, infrequent, and risky events. Teams would spend weeks building features in isolation, then spend days trying to merge everything together — often with painful conflicts and broken builds. Testing was manual and slow. Deployments were stressful.

CI/CD replaces that chaos with a smooth, automated pipeline.

Understanding These Three Terms


Continuous Integration (CI)

Developers merge their code changes into a shared repository frequently — at least once a day. Every merge automatically triggers a build and runs a set of automated tests. If something breaks, the team knows immediately.

The goal: Catch integration problems early, when they are small and cheap to fix.

Continuous Delivery (CD)

Continuous Delivery extends CI. After the code passes all automated tests, it is automatically prepared and packaged so it can be deployed to production at any time — with a single manual approval step.

The goal: Keep the codebase always in a deployable state. Deployment becomes a business decision, not a technical challenge.

Continuous Deployment (CD)

Continuous Deployment goes one step further than Continuous Delivery. Every change that passes all automated tests is deployed to production automatically — no human approval needed.

The goal: Remove all manual gates. If the tests pass, it ships.

Continuous Integration vs. Continuous Delivery vs. Continuous Deployment

How They Connect

These three practices are not separate choices. They form a single, continuous pipeline:

Why CI/CD Matters

Without CI/CD, teams face slow feedback, risky deployments, and constant integration pain. With CI/CD:


1. Bugs are caught within minutes of being introduced — not weeks later.

2. Releases go from stressful events to routine, boring processes — which is exactly what you want.

3. Developers spend less time fixing integration issues and more time building features.

4. The team can deploy multiple times per day with confidence.

Drew Collins

Drew Collins

Product Designer
Profile

Class Sessions

1- What is DevOps? Principles, Culture, and Practices 2- The DevOps Lifecycle 3- Introduction to Cloud Computing 4- AWS Global Infrastructure 5- Core AWS Services Overview 6- Git Fundamentals 7- Branching Strategies 8- Pull Requests and Code Review Best Practices 9- Integrating Git with AWS CodeCommit and GitHub 10- Managing Secrets and Sensitive Files in Repositories 11- What is CI/CD? 12- Building Pipelines with AWS CodePipeline and CodeBuild 13- Automated Testing in CI 14- Deployment Strategies 15- Using GitHub Actions and Jenkins on AWS 16- Why Infrastructure as Code (IaC)? 17- AWS CloudFormation 18- Terraform on AWS 19- AWS Cloud Development Kit (CDK) 20- IaC Best Practices 21- Docker Fundamentals 22- Amazon ECR 23- Deploying Containers with Amazon ECS 24- Kubernetes Basics and Amazon EKS 25- Integrating Containers into CI/CD Pipelines 26- Serverless Computing Concepts and Use Cases 27- Building and Deploying AWS Lambda Functions 28- Event-Driven Automation with Amazon EventBridge 29- Orchestrating Workflows with AWS Step Functions 30- API Gateway Integration for Serverless APIs 31- Introduction to MLOps 32- Training and Deploying Models with Amazon SageMaker 33- Automating ML Pipelines with SageMaker Pipelines 34- Using Amazon CodeWhisperer and AI Tools for Code Automation 35- AI-Powered Testing, Anomaly Detection, and Incident Prediction 36- Observability Fundamentals 37- Amazon CloudWatch 38- Distributed Tracing with AWS X-Ray 39- Centralised Logging with Amazon OpenSearch Service 40- Setting Up Automated Alerts and Incident Response Workflows 41- Shift-Left Security 42- IAM Roles, Policies, and Least-Privilege Access 43- Static Code Analysis and Vulnerability Scanning in CI/CD 44- AWS Security Hub, GuardDuty, and Config for Compliance 45- Secrets Management with AWS Secrets Manager and Parameter Store 46- AWS Well-Architected Framework 47- Auto Scaling and Elastic Load Balancing for Resilience 48- Cost Monitoring with AWS Cost Explorer and Budgets 49- Disaster Recovery Strategies 50- Preparing Your Project for Production