About this book
Create generic pipelines to reduce your overall DevOps workload and allow your team to deliver faster. This book helps you get up to speed on the pros and cons of generic pipeline methodology, and learn to combine shell scripts and Docker to build generic pipelines.
In today’s world of micro-services and agile practices, DevOps teams need to move as fast as feature teams. This can be extremely challenging if you’re creating multiple pipelines per application or tech stack. What if your feature teams could utilize a generic pipeline that could build, test, and deploy any application, regardless of tech stack? What if that pipeline was also cloud and platform agnostic? Too good to be true? Well think again!
Generic Pipelines Using Docker explores the principles and implementations that allow you to do just that. You will learn from real-world examples and reusable code. After reading this book you will have the knowledge to build generic pipelines that any team can use.
What You'll Learn:
- Explore the pros and cons of generic pipeline methodology
- Combine shell scripts and Docker to build a generic pipeline
- Implement a pipeline across CI/CD platforms
- Build a pipeline that lends itself well to both centralized and federated DevOps teams
- Construct a modular pipeline with components that can be added, removed, or replaced as needed
This book is for professionals who use DevOps or are part of a DevOps team, and are seeking ways to streamline their pipelines and drive more deployments while using less code.
Dallas Edwards has more than 10 years of experience as a software engineer. He thrives on creating solutions that are pragmatic, scale easily, and that are easy to test and maintain. His experience encompasses a wide range of expertise, including software development, iOS application development, and DevOps.
- DOI https://doi.org/10.1007/978-1-4842-3655-0
- Copyright Information Brandon Atkinson, Dallas Edwards 2018
- Publisher Name Apress, Berkeley, CA
- eBook Packages Professional and Applied Computing
- Print ISBN 978-1-4842-3654-3
- Online ISBN 978-1-4842-3655-0
- Buy this book on publisher's site