Book Image

Mastering GitHub Actions

By : Eric Chapman
Book Image

Mastering GitHub Actions

By: Eric Chapman

Overview of this book

Navigating GitHub Actions often leaves developers grappling with inefficiencies and collaboration bottlenecks. Mastering GitHub Actions offers solutions to these challenges, ensuring smoother software development. With 16 extensive chapters, this book simplifies GitHub Actions, walking you through its vast capabilities, from team and enterprise features to organization defaults, self-hosted runners, and monitoring tools. You’ll learn how to craft reusable workflows, design bespoke templates, publish actions, incorporate external services, and introduce enhanced security measures. Through hands-on examples, you’ll gain best-practice insights for team-based GitHub Actions workflows and discover strategies for maximizing organization accounts. Whether you’re a software engineer or a DevOps guru, by the end of this book, you'll be adept at amplifying productivity and leveraging automation's might to refine your development process.
Table of Contents (22 chapters)
Free Chapter
1
Part 1:Centralized Workflows to Assist with Governance
7
Part 2: Implementing Advanced Patterns within Actions
14
Part 3: Best Practices, Patterns, Tricks, and Tips Toolkit

Helpful AI actions and apps

GitHub regularly enhances its paid-for Copilot product with advanced AI features, some of which have been replicated in some parts as actions or apps in the Marketplace, which I’ll detail in this section. If you utilize Copilot, you’ll find that many of its functions offer immediate advantages without hefty implementation expenses. If you’re considering investing in their solutions, you may notice similarities between some product features and the Marketplace actions and applications I’ll discuss in this section.

For users managing public repositories, these features will gradually become available automatically or through opt-in mechanisms within GitHub. You might already be familiar with GitHub Copilot and its experimental counterpart, GitHub Next (previously known as Copilot X). These tools use AI to facilitate code generation within your IDE. One of the experimental features, for instance, automates the summarization of...