Pipeline on AI VOID

Setting Up Your Development Environment & First Pipeline

Wed, 28 Jan 2026 00:00:00 +0000

Setting Up Your Development Environment & First Pipeline

Welcome back, future data wizard! In our previous chapter, we explored the “what” and “why” behind Meta AI’s powerful new open-source library for dataset management. Now, it’s time to roll up our sleeves and dive into the “how.” This chapter is your hands-on guide to getting your development environment ready and running your very first data pipeline using this exciting new tool.

Chapter 8: Building the Core Pipeline: Routing and Output Generation

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

Chapter 8: Building the Core Pipeline: Routing and Output Generation

Welcome to Chapter 8! In the previous chapters, we laid the groundwork for our Rust-based Static Site Generator (SSG). We’ve learned how to parse content, extract frontmatter, convert Markdown to HTML, and render that HTML using a templating engine like Tera. We even introduced the concept of component support within Markdown, preparing our system for dynamic interactions. Now, it’s time to connect these pieces and bring our SSG to life by defining how content maps to URLs and generating the final static HTML files.

Building a Custom Data Pipeline with OpenZL

Mon, 26 Jan 2026 00:00:00 +0000

Introduction

Welcome to Chapter 16! So far, we’ve explored the foundational concepts of OpenZL, understood its unique approach to format-aware compression, and even walked through the basic setup. Now, it’s time to roll up our sleeves and apply that knowledge to a practical, real-world scenario: building a custom data pipeline for structured data.

In this chapter, you’ll learn how to leverage OpenZL’s power to efficiently compress and decompress your own specific data formats. We’ll design a simple data structure, define its schema for OpenZL, and then implement a basic C++ pipeline to handle the compression and decompression. This hands-on project will solidify your understanding of OpenZL’s core mechanisms and demonstrate its flexibility.

Chapter 11: Integrating Docker with CI/CD Pipelines

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

Introduction

In modern software development, speed, reliability, and consistency are paramount. Continuous Integration (CI) and Continuous Delivery/Deployment (CD) pipelines are the backbone for achieving these goals, automating the process of building, testing, and deploying applications. Docker, with its containerization technology, has become an indispensable tool in these pipelines, revolutionizing how applications are packaged and run.

This chapter will delve into the powerful synergy between Docker and CI/CD. We’ll explore why Docker is ideally suited for CI/CD workflows, understand the key stages where Docker plays a crucial role, and look at practical examples of integrating Docker with popular CI/CD tools to build robust, repeatable, and efficient delivery pipelines.