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Accelerate DevOps with GitHub

Accelerate DevOps with GitHub

By : Michael Kaufmann
5 (11)
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Accelerate DevOps with GitHub

Accelerate DevOps with GitHub

5 (11)
By: Michael Kaufmann

Overview of this book

This practical guide to DevOps uses GitHub as the DevOps platform and shows how you can leverage the power of GitHub for collaboration, lean management, and secure and fast software delivery. The chapters provide simple solutions to common problems, thereby helping teams that are already on their DevOps journey to further advance into DevOps and speed up their software delivery performance. From finding the right metrics to measure your success to learning from other teams’ success stories without merely copying what they’ve done, this book has it all in one place. As you advance, you’ll find out how you can leverage the power of GitHub to accelerate your value delivery – by making work visible with GitHub Projects, measuring the right metrics with GitHub Insights, using solid and proven engineering practices with GitHub Actions and Advanced Security, and moving to event-based and loosely coupled software architecture. By the end of this GitHub book, you'll have understood what factors influence software delivery performance and how you can measure your capabilities, thus realizing where you stand in your journey and how you can move forward.
Table of Contents (31 chapters)
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1
Part 1: Lean Management and Collaboration
7
Part 2: Engineering DevOps Practices
14
Part 3: Release with Confidence
19
Part 4: Software Architecture
22
Part 5: Lean Product Management
25
Part 6: GitHub for your Enterprise

Case study

With CI set up, the next thing our two pilot teams at Tailwind Gears need to do is automate the deployment and release processes of the software.

The first team runs some web applications that are still hosted on-premises. Instead of automating the on-premises deployment, the team moves the applications to a hosted Kubernetes service in the cloud. The cluster instances, network, and other cloud resources have already been set up by the IT department during the last sprints. Therefore, the team can easily transition the deployment to a staged deployment process. They deploy to a test instance and run all of the automated tests they have. They also add a test using curl, which calls a website that checks the database and backend accessibility to ensure everything is working as expected. If all tests pass, the deployment automatically deploys to production using a rolling update to ensure zero downtime for users.

Some of the code of the web applications, which contains...

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