If you’ve been curious about Docker and want to dive into practical projects that demonstrate its capabilities, you’ve landed in the right place! This guide will walk you through the six exciting projects outlined in the Docker Handbook, from the basics of creating your custom NGINX image to building a full-stack CRUD application. Let’s embark on this journey!

Overview of Projects

The Docker Handbook offers a series of six projects that escalate in complexity. Here’s an overview:

• custom-nginx – A custom NGINX image based on the official alpine image.
• rmbyext – An executable image project.
• hello-dock – A single container Vue application.
• notes-api – A multi-container Express API.
• fullstack-notes-application – A full-stack CRUD application with nginx as a reverse proxy.

Branches in the Repository

There are two branches in this repository:

• master – Contains starter projects.
• completed – Contains completed projects.

It’s a great idea to familiarize yourself with both branches to understand where you’re starting and what you should aim to achieve!

Prerequisites

Before diving in, you should have:

• Familiarity with the Linux Terminal.
• Some understanding of JavaScript (though a basic knowledge of npm will suffice).

Understanding the Code Through Analogy

Imagine you are a chef who wants to create an exquisite multi-course meal. Each course represents a project in the Docker Handbook. Here’s how they relate:

• Custom NGINX – This is akin to crafting the perfect sauce base, using the alpine image as your starting point; simple yet essential.
• rmbyext – Here, you’re preparing an appetizer that will be ready to serve as soon as it’s complete (executable image).
• hello-dock – Think of this as your first course—a single beautiful dish (container) that showcases your skills.
• notes-api – This step is like serving a main course consisting of multiple side dishes (multi-container API).
• fullstack-notes-application – Finally, this is your complete banquet, where every dish plays a role in the entire experience, culminating in a satisfying feast (full-stack application).

Troubleshooting Tips

Starting new projects can sometimes lead to unforeseen hurdles. Here are some troubleshooting ideas:

• Ensure Docker is installed and running on your machine.
• Check for compatibility issues with the project dependencies listed in the respective README files.
• If you encounter errors while building or running containers, verify the Dockerfile and configurations.
• For documentation, clarity, or to seek help from fellow developers, visit community platforms.

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

Conclusion

By engaging with these projects, you’ll not only learn the ropes of Docker but also expand your programming skills. Remember to explore both branches of the repository to maximize your learning. 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.