Welcome to the ultimate resource for learning AWS DevOps through hands-on projects! This repository is designed to cater to aspiring AWS DevOps engineers of all skill levels, from beginners taking their first steps in cloud computing to advanced users looking to master enterprise-level AWS architectures and automation.
This repository serves as a comprehensive resource for aspiring AWS DevOps engineers to learn and implement real-world cloud projects. It includes guides and solutions for deploying scalable systems on AWS, such as deploying applications using 3-tier architecture, setting up scalable VPC architectures, implementing CI/CD pipelines with AWS services, and mastering infrastructure as code with AWS CloudFormation and Terraform.
The README files provide detailed instructions for implementing these projects, emphasizing practical deployment steps, AWS best practices, security considerations, and cost optimization. Projects cover everything from basic EC2 deployments to advanced multi-region architectures with auto-scaling, load balancing, and monitoring.
The repository demonstrates extensive use of AWS services and DevOps concepts, focusing on cloud infrastructure automation and best practices. It features technologies such as:
- Core AWS Services: EC2, RDS, VPC, Auto Scaling, IAM, S3, CloudFront, Route 53
- DevOps Tools: AWS CodePipeline, CodeBuild, CodeDeploy, CloudFormation, Terraform
- Monitoring & Security: CloudWatch, CloudTrail, AWS Config, AWS Security Hub
- Container Services: ECS, EKS, Fargate, ECR
- Serverless: Lambda, API Gateway, DynamoDB, SQS, SNS
- CI/CD Integration: GitHub Actions, Jenkins, GitLab CI with AWS
These elements showcase a robust implementation of scalable, secure, and automated AWS architectures aligned with real-world enterprise practices.
To improve readability and accessibility for users, this repository is also available as a modern and responsive web interface.
A website showcasing a curated list of major real-time AWS DevOps and Cloud projects, ranging from beginner to advanced levels. Built using Next.js and styled with Tailwind CSS, this project leverages a modern starter template for fast and responsive development. Perfect for learning and exploring hands-on AWS DevOps and Cloud concepts!
π Explore the site: projects.prodevopsguytech.com
For comprehensive DevOps projects covering various technologies and platforms beyond AWS, visit our main DevOps Projects repository:
Repository Highlights:
- 2.5k+ Stars and 2.7k+ Forks - Highly popular in the DevOps community
- 13+ Real-world Projects from beginner to advanced levels
- Multi-technology Coverage including Java, Python, Docker, Kubernetes, CI/CD
- Hands-on Learning with practical implementation guides
- Community Driven with active contributions and discussions
π Visit the main repository: https://github.com/NotHarshhaa/DevOps-Projects
Important
This repository contains a comprehensive collection of AWS DevOps projects, each meticulously crafted to provide a hands-on learning experience. The projects are categorized into different skill levels to ensure that everyone, regardless of their current expertise, can find a suitable starting point and progressively enhance their AWS skills.
- Beginner Projects: Simple, foundational projects that introduce basic AWS services and DevOps concepts.
- Intermediate Projects: More complex projects that require a good understanding of AWS fundamentals and DevOps practices.
- Advanced Projects: Challenging projects designed to push your limits and deepen your understanding of sophisticated AWS architectures and enterprise-level DevOps practices.
Note
In the modern tech landscape, AWS DevOps doesn't exist in isolation. It intersects with a variety of other technologies, enhancing and being enhanced by them. This repository includes projects that integrate AWS DevOps with several key technologies, allowing you to see how these integrations work in real-world scenarios.
- Machine Learning with AWS: Implement DevOps practices to manage and deploy ML models using AWS SageMaker, Lambda, and other ML services.
- Version Control with Git & GitHub: Learn how to manage code versions and collaborate with others using Git and GitHub, integrated with AWS CodeCommit and CodePipeline.
- CI/CD Pipelines: Set up continuous integration and continuous deployment pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy.
- Multi-Cloud Platforms: Deploy applications across AWS, Azure, and GCP while maintaining consistency and best practices.
- Containerization (Docker, Kubernetes): Use container technologies with AWS ECS, EKS, and Fargate to ensure applications run consistently across different environments.
- Infrastructure as Code: Master Terraform and AWS CloudFormation for managing infrastructure through code.
Important
The projects span a wide array of topics within the AWS DevOps domain, each designed to provide practical experience and insights into real-world scenarios. Here's a detailed look at the areas covered:
- Automated Deployment on AWS: Learn how to automate the deployment process using AWS services to ensure applications are deployed quickly and reliably.
- Continuous Integration & Continuous Deployment (CI/CD): Understand how to set up and manage CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy.
- Infrastructure as Code (IaC): Use AWS CloudFormation and Terraform to manage your infrastructure through code, ensuring consistency and scalability.
- Monitoring & Logging: Implement monitoring and logging solutions using CloudWatch, CloudTrail, and third-party tools to track application performance and troubleshoot issues.
- Security & Compliance: Learn how to incorporate AWS security best practices, IAM policies, and compliance frameworks into your DevOps workflows.
- Scalability & Performance Optimization: Understand how to scale applications using Auto Scaling, Load Balancers, and performance optimization techniques.
- Cost Optimization: Master techniques to optimize AWS costs while maintaining performance and reliability.
- Disaster Recovery & High Availability: Implement backup strategies, multi-region deployments, and disaster recovery procedures.
Note
This repository is a treasure trove of learning opportunities, tailored to help you grow in the AWS DevOps field. Here's why you should dive in:
- Hands-on AWS Experience: Each project is designed to provide you with practical, hands-on experience with real AWS services. You'll work through real-world challenges and gain the skills you need to succeed in the cloud industry.
- Skill Enhancement: Whether you're just starting with AWS or looking to build on existing skills, the projects are structured to guide you through a learning path that will enhance your cloud capabilities.
- Industry Relevance: Stay up-to-date with the latest AWS services and DevOps practices. The projects reflect current industry practices, ensuring that what you learn is relevant and applicable.
- Community Engagement: Join a community of like-minded learners and professionals. Share your projects, seek feedback, and collaborate on exciting AWS DevOps initiatives.
- Certification Preparation: Many projects align with AWS certification paths, helping you prepare for AWS Certified DevOps Engineer, Solutions Architect, and other AWS certifications.
Caution
We are committed to fostering a welcoming and respectful environment for all contributors. Please take a moment to review our Code of Conduct before participating in this community.
Tip
This repository thrives on community contributions and collaboration. Here's how you can get involved:
- Fork the Repository: Create your own copy of the repository to work on.
- Submit Pull Requests: Contribute your AWS projects or improvements to existing projects by submitting pull requests.
- Engage with Others: Participate in discussions, provide feedback on others' projects, and collaborate to create better AWS solutions.
- Share Your Knowledge: If you've developed a new AWS project or learned something valuable, share it with the community. Your contributions can help others in their AWS learning journey.
We follow best practices for contribution and AWS Well-Architected Framework principles.
Important
Be a part of our active AWS DevOps community:
If you find this helpful, don't forget to give this repository a star. Your support matters! β
This project is crafted by Harshhaa π‘
I'd love to hear your feedback! Feel free to share your thoughts.
