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DevOps Unleashed with Git and GitHub

DevOps Unleashed with Git and GitHub

By : Yuki Hattori
4.3 (3)
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DevOps Unleashed with Git and GitHub

DevOps Unleashed with Git and GitHub

4.3 (3)
By: Yuki Hattori

Overview of this book

Git and GitHub are absolutely crucial for DevOps, playing a multifaceted role in streamlining the software development lifecycle and enabling smoother collaboration between development and operations teams. DevOps Unleashed with Git and GitHub enables you to harness the power of Git and GitHub to streamline workflows, drive collaboration, and fuel innovation. Authored by an expert from GitHub, the book starts by guiding you through Git fundamentals and delving into DevOps and the developer experience. As you progress, you’ll understand how to leverage GitHub's collaboration and automation features, and even use GitHub Copilot for enhanced productivity. You'll also learn how to bridge the DevOps gap, maintain code quality, and implement robust security measures. Additionally, hands-on exercises will equip you to elevate your developer experience, foster teamwork, and drive innovation at the speed of DevOps. By the end of this DevOps book, you’ll have mastered the Git fundamentals, conquered collaboration challenges, and unleashed the power of GitHub as you transform your DevOps workflows.
Table of Contents (14 chapters)
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Part 1: Foundations of Git, GitHub, and DevOps
5
Part 2: GitHub Excellence and CI/CD Fundamentals
8
Part 3: Beyond DevOps

Leveraging metrics in DevOps

What does it mean to measure metrics in DevOps? Measuring metrics in DevOps is about quantifying various aspects of the software development and delivery process to improve efficiency, quality, and collaboration. Metrics provide a data-driven approach to assess performance, identify bottlenecks, and inform decision-making. They are critical for continuous improvement, enabling teams to track progress against objectives and align efforts with organizational goals.

In DevOps, metrics can be categorized into different types. Performance metrics, such as deployment frequency and change lead time, measure the efficiency of the deployment pipeline. Quality metrics, such as defect rates and mean time to recovery, assess the stability and reliability of the software. Process metrics look at the efficiency of development processes, and people metrics focus on team performance and satisfaction.

Tools and automation are essential for effectively measuring these...

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