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🚀 Week 5 Recap: Learning in Public – Software Engineering with DevOps 🚀

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MD NAWAB ✓
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This week, I’ve been diving deep into Continuous Integration (CI) and Continuous Deployment (CD) with Jenkins, along with Terraform, Ansible, and advanced microservices concepts. Here’s a breakdown of everything I learned and worked on:

🔍 Key Concepts Explored (with Hands-On Examples):

Continuous Integration & CD with Jenkins 🛠️

  • Pipeline as Code: Wrote Jenkins pipelines for automating the build and deployment process.

  • Jobs, Builds, and Plugins: Set up Jenkins jobs, configured builds, and used plugins for versioning and flow management.

  • Disk Space Issues & Troubleshooting: Managed Jenkins disk space and resolved issues related to job execution.

  • CI Pipeline Steps: Developed pipelines with clear steps for Continuous Integration and Deployment.

  • Nexus & SonarQube Setup: Set up Nexus for software repositories and SonarQube for code quality analysis.

  • Quality Gates: Implemented quality gates for automated code reviews and metrics.

  • CI for Docker: Set up Docker CI/CD pipelines, built Docker images, and deployed to AWS ECS.

  • Jenkins Master/Slave & Authentication: Managed Jenkins Master/Slave nodes for load balancing and configured authentication & authorization.

Terraform 🌍

  • Code Structure & Workflow: Defined the structure for Terraform files, and worked with plan, apply, update, and destroy commands.

  • Variables, Provisioners, & Outputs: Managed infrastructure configuration with variables, provisioners, and outputs.

  • Backends: Worked with remote backends to manage state and deployments.

Ansible 🛠️

  • Setup & Infrastructure: Set up Ansible and created infrastructure inventory files.

  • YAML & JSON: Wrote and tested playbooks using YAML and JSON.

  • Modules & Playbooks: Created custom modules, used existing ones (like file, copy, template), and handled tasks like configuration and deployment automation.

  • Decision Making & Loops: Integrated decision-making logic and loops for efficient automation workflows.

  • Ansible for AWS: Leveraged Ansible to manage AWS infrastructure, automate configurations, and deploy applications.

Microservices Architecture & Concepts 💡

  • Explored the principles and patterns behind microservices, including how to design and deploy microservices architectures effectively in cloud environments.

  • Hands-on with Docker, Kubernetes, and cloud-native services for orchestrating and managing containers.

🎯 Projects & Progress: This week, I applied all these concepts in real-world scenarios, including setting up Jenkins for automated builds and deployment pipelines, writing infrastructure as code with Terraform, and managing infrastructure with Ansible. Each project solidified my understanding of modern DevOps practices and the tools that power them.

Excited to continue building upon this foundation, and I look forward to exploring even more advanced topics in the coming weeks! 🚀

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