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Pro continuous deliverywith Jenkins ...

Pathania, Nikhil.

Pro continuous deliverywith Jenkins 2.0 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pro continuous deliveryby Nikhil Pathania.
Reminder of title:	with Jenkins 2.0 /
Author:	Pathania, Nikhil.
Published:	Berkeley, CA :Apress :2017.
Description:	xxii, 288 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Client/server computing.
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2913-2
ISBN:	9781484229132$q(electronic bk.)

Pro continuous deliverywith Jenkins 2.0 /
Pathania, Nikhil.

Pro continuous deliverywith Jenkins 2.0 /[electronic resource] :by Nikhil Pathania. - Berkeley, CA :Apress :2017. - xxii, 288 p. :ill., digital ;24 cm.

Chapter 1: Elements of Continuous Delivery -- Chapter 2: HA Jenkins Setup Using Pacemaker, Corosync, and DRBD -- Chapter 3: HA Jenkins Setup Using CoreOS, Docker, and GlusterFS -- Chapter 4: Setting Up Jenkins on Docker and Cloud -- Chapter 5: Pipeline as a Code -- Chapter 6: Using Containers for Distributed Builds -- Chapter 7: Pre-Tested Commits Using Jenkins -- Chapter 8: Continuous Delivery Using Jenkins Pipeline.

Follow this step-by-step guide for creating a continuous delivery pipeline using all of the new features in Jenkins 2.0 such as Pipeline as a Code, multi-branch pipeline, and more. You will learn three crucial elements for achieving a faster software delivery pipeline: a fungible build/test environment, manageable and reproducible pipelines, and a scalable build/test infrastructure. Pro Continuous Delivery demonstrates how to create a highly available, active/passive Jenkins server using some niche technologies. What You'll Learn: Create a highly available, active/passive Jenkins server using CoreOS and Docker, and using Pacemaker and Corosync Use a Jenkins multi-branch pipeline to automatically perform continuous integration whenever there is a new branch in your source control system Describe your continuous delivery pipeline with Jenkinsfile Host Jenkins server on a cloud solution Run Jenkins inside a container using Docker Discover how the distributed nature of Git and the "merge before build" feature of Jenkins can be used to implement gated check-in Implement a scalable build farm using Docker and Kubernetes.

ISBN: 9781484229132$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2913-2doiSubjects--Uniform Titles:

Jenkins (Software development tool)
Subjects--Topical Terms:

182238
Client/server computing.

LC Class. No.: QA76.73.J45

Dewey Class. No.: 005.11

Pro continuous deliverywith Jenkins 2.0 /
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505 0 $a Chapter 1: Elements of Continuous Delivery -- Chapter 2: HA Jenkins Setup Using Pacemaker, Corosync, and DRBD -- Chapter 3: HA Jenkins Setup Using CoreOS, Docker, and GlusterFS -- Chapter 4: Setting Up Jenkins on Docker and Cloud -- Chapter 5: Pipeline as a Code -- Chapter 6: Using Containers for Distributed Builds -- Chapter 7: Pre-Tested Commits Using Jenkins -- Chapter 8: Continuous Delivery Using Jenkins Pipeline.
520 $a Follow this step-by-step guide for creating a continuous delivery pipeline using all of the new features in Jenkins 2.0 such as Pipeline as a Code, multi-branch pipeline, and more. You will learn three crucial elements for achieving a faster software delivery pipeline: a fungible build/test environment, manageable and reproducible pipelines, and a scalable build/test infrastructure. Pro Continuous Delivery demonstrates how to create a highly available, active/passive Jenkins server using some niche technologies. What You'll Learn: Create a highly available, active/passive Jenkins server using CoreOS and Docker, and using Pacemaker and Corosync Use a Jenkins multi-branch pipeline to automatically perform continuous integration whenever there is a new branch in your source control system Describe your continuous delivery pipeline with Jenkinsfile Host Jenkins server on a cloud solution Run Jenkins inside a container using Docker Discover how the distributed nature of Git and the "merge before build" feature of Jenkins can be used to implement gated check-in Implement a scalable build farm using Docker and Kubernetes.
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