Containerized Build Environment
Docker provides isolated and reproducible environments for building and testing applications inside CI/CD pipelines.
Key Topics
- • Reproducible builds
- • Isolated environments
- • Build dependencies
- • Consistent execution
Learn how Docker is used in CI/CD pipelines to build, test, package, publish, and deploy applications using portable container images.
Docker CI/CD Workflow
Source Code
Build Docker Image
Run Tests
Scan Image
Push to Registry
Deploy Container
Introduction
Docker allows applications and their dependencies to be packaged into portable container images. These images can be built and tested automatically inside CI/CD pipelines.
Using containers helps teams create consistent environments for development, testing, and deployment. The same application image can move through multiple stages of the software delivery lifecycle.
A typical Docker-based CI/CD workflow builds an image, runs tests, validates or scans the image, publishes it to a registry, and deploys the required version.
Core Concepts
Docker can provide reproducible build environments and portable application packages that fit naturally into automated CI/CD workflows.
Docker provides isolated and reproducible environments for building and testing applications inside CI/CD pipelines.
Key Topics
A Docker image packages an application together with its runtime, dependencies, libraries, and configuration required to run it.
Key Topics
Containers are runnable instances of Docker images that can be used for testing applications and running workloads in different environments.
Key Topics
A container registry stores and distributes Docker images so CI/CD pipelines and deployment platforms can retrieve the correct application version.
Key Topics
Docker Workflow
Defines the instructions used to create a Docker image for your application.
Creates a Docker image from the source code and Dockerfile instructions.
A portable package containing the application and the required runtime environment.
A running instance of a Docker image used to execute and test an application.
Stores Docker images so they can be shared between CI/CD pipelines and deployment environments.
Automates the workflow that builds, tests, scans, publishes, and deploys containerized applications.
Containerization
A Dockerfile contains instructions that define how an application image should be created. The CI/CD pipeline can automatically run the Docker build process whenever changes are pushed.
The resulting image can then be used for testing and deployment, helping ensure that the same application package moves through the delivery workflow.
Example Dockerfile
FROM node:22-alpine WORKDIR /app COPY package*.json ./ RUN npm ci COPY . . RUN npm run build EXPOSE 3000 CMD ["npm", "start"]
Pipeline Workflow
Docker can be integrated into different CI/CD platforms to automate image creation, testing, publishing, and deployment.
A developer pushes application code and Docker configuration to the source repository.
The CI/CD pipeline builds the application and creates a Docker image using the Dockerfile.
Automated tests and validation can run against the application or the generated container image.
The image can be checked for vulnerabilities, configuration problems, and other security issues.
The validated Docker image is tagged and pushed to a container registry.
The deployment platform pulls the required image version and runs the updated application.
Pipeline Example
The following example shows the general idea of a CI/CD workflow that builds a Docker image, runs tests, and then pushes the image to a registry.
The exact configuration will depend on the CI/CD platform, runner, registry, security requirements, and deployment environment you use.
Example CI/CD Configuration
stages:
- build
- test
- push
build-image:
stage: build
script:
- docker build -t my-app:$CI_COMMIT_SHA .
test-image:
stage: test
script:
- docker run --rm my-app:$CI_COMMIT_SHA npm test
push-image:
stage: push
script:
- docker tag my-app:$CI_COMMIT_SHA registry.example.com/my-app:$CI_COMMIT_SHA
- docker push registry.example.com/my-app:$CI_COMMIT_SHAUse Cases
Build application images automatically whenever developers push changes to the repository.
Run tests inside consistent container environments with the required dependencies.
Automatically tag and publish validated images to a container registry.
Deploy the same tested container image across development, staging, and production environments.
Use CI/CD pipelines to build images and deploy updated workloads to Kubernetes clusters.
Build, test, version, and deploy individual services independently as container images.
Learning Roadmap
Follow these steps to move from Docker fundamentals to building automated container delivery pipelines.
Understand Docker images, containers, Dockerfiles, registries, volumes, and networking.
Create a Dockerfile and build a Docker image for a simple application.
Configure a CI/CD pipeline to automatically build Docker images whenever code changes.
Run automated tests and validation against the application or generated container image.
Tag and push validated Docker images to a container registry.
Use the container image in deployment workflows for servers, cloud platforms, or Kubernetes.
Best Practices
Choose an appropriate and minimal base image to reduce unnecessary dependencies and improve portability.
Separate build dependencies from the final runtime image when appropriate to keep production images smaller.
Use meaningful and traceable image tags instead of relying only on a single mutable tag.
Exclude unnecessary files from the Docker build context to improve build efficiency and avoid including unwanted files.
Use your CI/CD pipeline to automatically build and test images whenever important code changes are introduced.
Store registry credentials and other secrets using the CI/CD platform's protected secret or variable mechanisms.
Continue Learning
Understand Continuous Integration, Continuous Delivery, pipelines, testing, and automated software delivery.
🐳Learn Docker fundamentals, images, containers, Dockerfiles, volumes, networking, and Docker Compose.
⚙️Learn GitLab pipelines, stages, jobs, runners, artifacts, variables, and automated deployments.
Next Step
Practice containerizing applications, building Docker images, running automated tests, publishing images to registries, and deploying the same validated image across environments.