🚀 Week 7 Recap: Learning in Public – Mastering Docker & Containerization 🚀

This week, I focused on Docker containerization, mastering everything from Docker setup to containerized microservices deployment. I explored real-world use cases, hands-on projects, and CI/CD workflows to automate deployments of Dockerized applications.

🔍 Key Learnings and Hands-On Implementations:

Docker Containerization & Core Concepts 🐳
Docker Setup & Commands: Installed and configured Docker Engine, explored essential Docker CLI commands, and managed containers efficiently.

Docker Logs & Debugging: Worked with docker logs to troubleshoot and monitor container behavior.

Docker Volumes: Explored persistent storage strategies and managed container data with volumes and bind mounts.

Docker Images & Dockerfile:
Built custom Docker images with optimized Dockerfiles.
Used ENTRYPOINT & CMD for flexible container execution.
Created multi-stage Dockerfiles to optimize image size and performance.

Docker Compose & Multi-Container Applications 🔧
Set up Docker Compose to manage multi-container applications efficiently.

Built microservices-based applications using multiple interconnected services.

Microservices & CI/CD with Docker 🚀
CodeCommit, CodeBuild, CodeDeploy, and CodePipeline:
Integrated AWS CodeCommit for source code management.

Used CodeBuild to automate image builds and push to Docker Hub.
Deployed Dockerized microservices using CodeDeploy and CodePipeline.

Hands-On Projects:
✅ Built and deployed microservices-based applications using Docker containers.
✅ Automated multi-container deployment using Docker Compose & AWS CI/CD tools.
✅ Optimized Docker images for production-ready containerized applications.

📂 Project Links:
👉 Project :https://github.com/xetnopnawab/Software-Engineering-with-DevOps

💡 Key Takeaways:
Containerization simplifies software deployment and scaling.
Docker Compose is essential for managing multi-container applications.

CI/CD pipelines streamline the build and deployment process for containerized applications.

Excited to keep building on this and move deeper into Kubernetes and container orchestration in the coming weeks! 🚀

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