---
title: "What s CI/CD pipe line?"  
description: "What s CI/CD pipe line?"  
author: "ICSM Computer"  
published: 2025-12-21  
updated: 2025-12-28  
canonical: https://www.mindstick.com/forum/162012/what-s-ci-cd-pipe-line  
category: "GitHub"  
tags: ["github", "git"]  
reading_time: 3 minutes  

---

# What s CI/CD pipe line?

[Explain](https://www.mindstick.com/forum/157854/what-is-system-debugging-explain-some-system-debugging-tools-used-in-modern-computer-systems) the CI/CD pipe line, why use it with [benefits](https://www.mindstick.com/articles/75377/surprising-benefits-of-learning-to-code)?

## Replies

### Reply by Sophie Lane

A **CI/CD pipeline** (Continuous Integration / Continuous Delivery or Deployment pipeline) is an automated workflow that helps teams build, test, and deliver software faster and more reliably. Whenever developers push code changes, the pipeline automatically triggers steps like code integration, builds, and validations to ensure the application remains stable.

A key part of a CI/CD pipeline is **test automation**, which runs predefined tests (unit, integration, and regression tests) without manual intervention. This ensures that new changes do not break existing functionality and allows teams to catch issues early in the development cycle. By combining automated testing with continuous delivery, CI/CD pipelines enable frequent, high-quality releases with minimal risk.

### Reply by Anubhav Sharma

**CI/CD pipeline** means an **automated process** that takes your code from **developer machine → production** safely, repeatedly, and with minimal manual work.

## Simple Definition (Interview-Ready)

> **CI/CD pipeline is an automated workflow that builds, tests, and deploys code whenever changes are made, ensuring fast, reliable, and repeatable software delivery.**

Think of it as a **factory assembly line for software**.

## CI vs CD (Simple)

### CI — Continuous Integration

> “Are the changes correct?”

- Developers push code
- Code is **built automatically**
- Tests run automatically
- Errors are caught early

### CD — Continuous Delivery / Deployment

> “Can we release it safely?”

- Package the application
- Deploy to **test / staging / production**
- Run post-deploy checks
- Roll back if something fails

## Typical CI/CD Pipeline Flow

```plaintext
Developer
   ↓ (git push)
Source Control (Git)
   ↓
CI Server (build + test)
   ↓
Artifact (DLL / EXE / Docker Image)
   ↓
Deploy to Dev / QA / Prod
```

## Step-by-Step Pipeline Stages

### Source Code

- GitHub / GitLab / Azure Repos
- Trigger: `git push` or `pull request`

### Build

- Restore dependencies
- Compile code

## Example (.NET):

```plaintext
dotnet restore
dotnet build
```

### Test

- Unit tests
- Integration tests

```plaintext
dotnet test
```

Fail here → pipeline stops

### Code Quality (Optional but Important)

- Static analysis
- Code coverage
- Security scan

Tools:

- SonarQube
- Snyk
- OWASP scan

### Artifact Creation

- ZIP / DLL
- Docker image
- NuGet package

Stored in:

- Azure Artifacts
- Nexus
- Docker Registry

### Deploy

- Dev environment
- QA / UAT
- Production

Deployment types:

- IIS
- Docker
- Kubernetes
- Azure App Service

### Post-Deploy

- Health check
- Smoke tests
- Monitoring

## CI vs CD Difference Table

| Feature | CI | CD |
| --- | --- | --- |
| Purpose | Validate code | Release software |
| Trigger | Code commit | Successful CI |
| Automation | Build + test | Deploy |
| Risk | Low | Needs safeguards |

## Real Example (ASP.NET MVC 5)

### CI

- Restore NuGet
- Build solution
- Run MSTest

### CD

- Publish web app
- Copy files to IIS
- Restart app pool

## Example CI/CD Tools

| Tool | Use |
| --- | --- |
| GitHub Actions | CI/CD |
| Azure DevOps | CI/CD |
| GitLab CI | CI/CD |
| Jenkins | CI/CD |
| TeamCity | CI/CD |

## Why CI/CD is Important

1. Faster releases
2. Fewer bugs in production
3. Consistent builds
4. Easy rollback
5. Team productivity


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Original Source: https://www.mindstick.com/forum/162012/what-s-ci-cd-pipe-line

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