Cloud Resume Challenge Part 6 - Lessons Learned and Next Steps

Cloud Engineer and DevOps enthusiast, just talking about AWS, Docker, Linux, Kubernetes, Python, and automation.
Search for a command to run...

Cloud Engineer and DevOps enthusiast, just talking about AWS, Docker, Linux, Kubernetes, Python, and automation.
@drift boss Excellent, continue to maintain your current level of performance! The essay has proven to be really beneficial to me as it has provided me with a substantial amount of information and understanding.
Level up your AWS cloud skills with the AWS Cloud Resume Challenge Series. Build and deploy a serverless web app using AWS services, mastering cloud computing and CI/CD practices.
As part of the Cloud Resume Challenge, automating infrastructure deployment is a key skill to showcase. In this step-by-step guide, we will explore how to automate the backend deployment of your Cloud Resume Challenge website using Terraform and GitH...
Running your own home lab used to mean expensive hardware, complex networking, and hours of manual configuration. This project changes that. With a single Raspberry Pi, Docker Compose, and a few hundr

Welcome to an advanced hybrid directory demo where we'll guide you through setting up a hybrid environment, connecting to simulated on-premises infrastructure, creating a managed Microsoft AD within AWS, establishing a two-way forest trust, and integ...

Hello DevOps Community! Today marks the completion of the #90DaysOfDevOps Challenge, and it's a moment to reflect on the journey we've undertaken together. Throughout this period, I've engaged with various technologies, refining my skills in the DevO...

In a modern cloud infrastructure setup, creating a robust and scalable 2-tier architecture is essential. Such an architecture helps meet the demands of your applications while ensuring repeatability, reliability, and security. In this article, we'll ...

Welcome to Part 4 of my series on building a comprehensive CI/CD pipeline in AWS. In this article, I will explore AWS CodePipeline, a powerful service for building and deploying applications in a continuous integration and continuous delivery (CI/CD)...


The Cloud Resume Challenge has been an incredible journey that has allowed me to expand my knowledge and skills in various aspects of AWS, Terraform, GitHub Actions, automation, Python, and DevOps.
In Part 1, I successfully built a static S3 website, implemented CloudFront for content delivery, and configured Route53 DNS. This experience helped me understand the core components of AWS and how they work together to provide a reliable and scalable infrastructure. - Link
Moving on to Part 2, I integrated a visitor counter using API Gateway, Lambda functions, and DynamoDB. This task required me to leverage serverless technologies and understand how to handle data storage and retrieval efficiently. It was a great opportunity to apply my Python programming skills and learn about AWS services specifically tailored for serverless applications. - Link
Part 3 focused on building a front-end CI/CD pipeline using GitHub Actions. Through this process, I gained a deep understanding of continuous integration and deployment practices, including automating the build, test, and deployment stages. GitHub Actions allowed me to automate these processes effectively, ensuring a streamlined development workflow. - Link
Part 4 was a significant milestone as I built the backend infrastructure using AWS and Terraform. This experience exposed me to infrastructure-as-code concepts and the power of automation. By defining the infrastructure components using Terraform, I could easily manage and version control my infrastructure, enabling reproducibility and scalability. - Link
Finally, in Part 5, I automated the backend deployment using Terraform and GitHub Actions, demonstrating my proficiency in infrastructure automation and configuration management. This automation reduced manual intervention, minimized the risk of human error, and provided a consistent deployment process. - Link
The Cloud Resume Challenge has provided an invaluable opportunity to learn and apply cloud computing concepts and tools. It has allowed me to develop a solid foundation in AWS, Terraform, GitHub Actions, automation, Python, and DevOps practices. Looking ahead, I am excited to continue my learning journey, exploring advanced AWS topics, expanding my Python skills, and adopting DevOps best practices. I am excited to leverage these newfound skills and knowledge to excel in the ever-evolving world of cloud computing and DevOps.