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Generic Pipelines Using Docker

48,14 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 181880a6a48bf24cf0ab11350b60fc0ef9
Autor: Atkinson, Brandon Edwards, Dallas
Themengebiete: CI/CD platforms CircleCI DevOps Docker Jenkins Reusable frameworks continuous integration generic Docker implementation generic pipelines with Docker platform agnostic frameworks
Veröffentlichungsdatum: 20.12.2018
EAN: 9781484236543
Sprache: Englisch
Seitenzahl: 127
Produktart: Kartoniert / Broschiert
Verlag: APRESS
Untertitel: The DevOps Guide to Building Reusable, Platform Agnostic CI/CD Frameworks
Produktinformationen "Generic Pipelines Using Docker"
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 LearnExplore the pros and cons of generic pipeline methodologyCombine shell scripts and Docker to build a generic pipelineImplement a pipeline across CI/CD platformsBuild a pipeline that lends itself well to both centralized and federated DevOps teamsConstruct a modular pipeline with components that can be added, removed, or replaced as neededWho This Book Is ForProfessionals 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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