YAML on AI VOID

Chapter 3: Content Loading and Frontmatter Parsing

Mon, 02 Mar 2026 00:00:00 +0000

Chapter 3: Content Loading and Frontmatter Parsing

Welcome to Chapter 3 of our Rust SSG journey! In the previous chapter, we laid the groundwork for our project structure and set up basic logging. Now, we’re ready to tackle the core of any static site generator: processing content. This chapter will focus on how our SSG will read content files from the file system, parse their associated metadata (known as “frontmatter”), and separate the main content body.

Smart CI: AI-Driven Testing and Build Optimization

Fri, 20 Mar 2026 00:00:00 +0000

Introduction: Supercharging Your CI with AI

Welcome back, future-forward engineers! In previous chapters, we laid the groundwork for integrating AI and ML into DevOps, exploring MLOps principles and setting up our foundational tools. Now, it’s time to dive into the heart of software delivery: Continuous Integration (CI).

Traditionally, CI pipelines run every test, every time, regardless of the changes made. While thorough, this can lead to slow feedback loops, wasted computational resources, and developer frustration, especially in large projects. What if your CI pipeline could be smarter? What if it could learn from past failures, understand the impact of code changes, and make intelligent decisions to optimize its own execution?

Chapter 7: Composing Multi-Container Applications

Wed, 25 Feb 2026 00:00:00 +0000

Introduction

Welcome to Chapter 7! So far, you’ve mastered the art of running individual Linux containers on your Mac using Apple’s powerful container CLI. You’ve built images, run single services, and even understood the fundamental architecture that makes it all possible. That’s fantastic!

But what happens when your application isn’t just one simple service? Most modern applications are a collection of interconnected services: a web front-end, a backend API, a database, a caching layer, and perhaps more. Managing each of these as separate container run commands can quickly become a tangled mess. This is where the concept of “composing” multi-container applications comes into play.

Chapter 13: Project 2: Deploying a Multi-Service Application to Kubernetes

Mon, 12 Jan 2026 00:00:00 +0000

Chapter 13: Project 2: Deploying a Multi-Service Application to Kubernetes

Welcome back, future DevOps guru! In our previous Kubernetes adventures, we learned about the fundamental building blocks like Pods, Deployments, and Services. We even deployed a single application. But what happens when your application isn’t just one component, but a collection of interconnected services, like a frontend web app talking to a backend API, which might then talk to a database?

Chapter 7: Multi-Container Applications with Docker Compose

Sun, 23 Nov 2025 22:00:12 +0530

Introduction

In previous chapters, we learned how to build and run individual Docker containers. While this is powerful for isolated services, real-world applications often consist of multiple interconnected services—a web server, a database, a cache, a message queue, etc. Managing these services individually with docker run can quickly become cumbersome and error-prone. This is where Docker Compose comes into play.

Docker Compose is a tool for defining and running multi-container Docker applications. With Compose, you use a YAML file to configure your application’s services, networks, and volumes. Then, with a single command, you can create and start all the services from your configuration. This chapter will delve into the core concepts of Docker Compose, its benefits, and how to use it effectively to orchestrate complex applications.