Welcome to the blog where we dive into the fascinating world of DevOps and its seamless integration with various technologies! This article will guide you through my collection of DevOps projects that leverage tools like Machine Learning, Git, GitHub, and more. Let’s embark on a journey to explore automation, deployment, and everything in between!

Project 1: Automated Web Development Environment

In this project, I created an Automated Web Development Environment by integrating GitHub, Jenkins, and the Httpd Web Server on RHEL-8. The process is designed to be incredibly user-friendly:

• The developer commits code to their local repository.
• GitHub automatically sends the code to Jenkins using webhooks.
• Jenkins automatically launches the website on the Apache HTTP server.

To see this magic in action, click here!

Project 2: Automated Website Deployment within Docker

This project focuses on creating an automated website deployment inside a Docker container, utilizing Git, GitHub, Jenkins, and Docker technologies. The beauty of this setup lies in its simplicity and efficiency for developers wishing to deploy applications rapidly.

For a practical demonstration, click here.

Project 3: Containerization Within Container

In this innovative project, I used Docker concepts to facilitate “docker-within-docker” automation. This means that you can easily transport your project along with its complete environment from one system to another. Imagine this as a suitcase within a suitcase—everything you need in one tidy package!

For a detailed article on this project, click here.

Project 4: CICD DevEnv/Production Environment Deployment

This project automates the continuous deployment process using Git, Jenkins, and Docker, focusing specifically on developer and production environment deployment. It’s designed to ensure that developers can launch updates and new features with ease.

For a closer look at the demonstration, click here.

Project 5: Automate CloudBuild Triggers using Terraform

This automation specifically involves Terraform scripts that automatically create cloud build triggers with pre-defined configurations for a given repository and deploys it to the GKE cluster as defined in the Terraform script. Think of it as having a personal assistant that quickly sets up everything you need at a moment’s notice!

Troubleshooting Ideas

As with any technical endeavor, projects may face hurdles. Here are some common troubleshooting ideas:

• Ensure that your GitHub webhooks are set up correctly to trigger Jenkins builds.
• Verify that all necessary components (Jenkins, Docker, Httpd) are properly installed and configured.
• Check firewall settings, especially if you’re working on a local or cloud-based server.
• If you encounter issues with deployment, revisit your Terraform config files for any misconfigurations.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.