Welcome to the 100 Days of Docker Challenge!. This challenge is designed to help you master Docker and Continuous Integration/Continuous Deployment (CI/CD) concepts over the next 100 days. Below is your roadmap for the challenge. Let's get started!
- Introduction to Docker: Understanding containers and their benefits.
- Installing Docker: Setup Docker on your system (Linux/Windows/Mac).
- Docker Commands: Learn basic Docker commands for managing containers and images.
- Docker Images: Explore Docker Hub and pull your first Docker image.
- Docker Containers: Create, start, stop, and remove Docker containers.
- Docker Networking: Understand Docker networking concepts and how containers communicate.
- Introduction to Dockerfile: Create your first Dockerfile.
- Dockerfile Instructions: Learn about various instructions like FROM, RUN, COPY, and CMD.
- Building Images: Build Docker images from Dockerfiles.
- Docker Volumes: Understand the concept of Docker volumes for persistent data.
- Docker Compose: Introduction to Docker Compose for managing multi-container applications.
- Docker Compose YAML: Write Docker Compose YAML files for simple applications.
- Docker Registries: Setup and use private Docker registries.
- Dockerfile Best Practices: Learn best practices for writing efficient Dockerfiles.
- Multi-Stage Builds: Utilize multi-stage builds for optimized Docker images.
- Docker Security: Understand Docker security best practices and tools.
- Docker Swarm: Introduction to Docker Swarm for container orchestration.
- Docker Swarm Services: Deploy and manage services using Docker Swarm.
- Introduction to CI/CD: Understand CI/CD concepts and benefits.
- Setting up CI/CD Pipeline: Choose a CI/CD tool (e.g., Jenkins, GitLab CI) and set up a pipeline.
- Docker in CI/CD: Incorporate Docker into your CI/CD pipeline for building and testing containers.
- Docker Registry Integration: Push Docker images to a registry as part of your CI/CD pipeline.
- Automated Testing with Docker: Implement automated testing of Dockerized applications.
- Deployment Strategies: Learn about different deployment strategies like rolling updates and blue-green deployments.
- Dockerizing Applications: Dockerize a variety of applications (e.g., web servers, databases).
- CI/CD Optimization: Optimize your CI/CD pipeline for speed and efficiency.
- Infrastructure as Code: Integrate Docker and CI/CD with infrastructure automation tools like Terraform.
- Monitoring Docker Containers: Set up monitoring for Docker containers and applications.
- Logging with Docker: Implement centralized logging for Docker containers.
- Advanced CI/CD Techniques: Explore advanced CI/CD techniques like canary deployments and chaos engineering.
31-35. Project Planning: Plan and design a Dockerized project incorporating CI/CD principles. 36-50. Project Implementation: Implement your project, iteratively improving Docker usage and CI/CD pipeline. 51-55. Integration Testing: Perform integration testing of your Dockerized project within the CI/CD pipeline. 56-60. User Acceptance Testing (UAT): Conduct UAT of the Dockerized project with stakeholders.
61-65. Deployment: Deploy your Dockerized project to production or staging environments. 66-70. Monitoring Setup: Set up monitoring and alerting for your Dockerized project. 71-75. Performance Optimization: Optimize the performance of your Docker containers and infrastructure. 76-80. Disaster Recovery Planning: Plan for disaster recovery scenarios and implement strategies. 81-85. Scalability and Load Testing: Perform scalability and load testing of your Dockerized project.
86-90. Code Review and Refactoring: Review code and refactor Dockerfiles, CI/CD pipeline, and project code. 91-95. Documentation: Document your Docker setup, CI/CD pipeline, and project architecture. 96-100. Knowledge Consolidation: Review key concepts, fill in any gaps, and consolidate your Docker and CI/CD knowledge.
Congratulations on completing the 100 Days of Docker Challenge! You've gained valuable skills in Docker and CI/CD that will benefit you in your future projects and career. Keep exploring and building with Docker!
Find me on GitHub: Dhinesh4668 Find me on Gitlab: Dhinesh4668
github: [github.com/Dhinesh4668]