
Generic Pipelines Using Docker: The DevOps Guide to Building Reusable, Platform Agnostic CI/CD Frameworks
- Length: 135 pages
- Edition: 1st ed.
- Language: English
- Publisher: Apress
- Publication Date: 2018-12-05
- ISBN-10: 1484236548
- ISBN-13: 9781484236543
- Sales Rank: #1627735 (See Top 100 Books)
enter 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.
https://etxflooring.com/2025/04/d1oenb4ud 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!
https://aalamsalon.com/n9ioa86j source https://reggaeportugal.com/m7urng3 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.
https://colvetmiranda.org/r9g3kiku https://audiopronews.com/headlines/dok9nqtt 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
Get Tramadol Online https://townofosceola.com/06kvttbt3 Who 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
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