Jenkins is a well-known automation system. It is written in Java as a fork of Hudson (an automation system created by Sun Microsystems). Jenkins is designed to automate continuous integration and continuous deployment. It supports many code repositories with different triggers and build targets. It can be extended with plugins. The biggest advantage of Jenkins over other tools is its ability to run jobs on Mesos, which can reduce costs by reusing idle servers or easily spawning new build agents.
Apache Mesos Cookbook
Apache Mesos Cookbook
Overview of this book
Apache Mesos is open source cluster sharing and management software. Deploying and managing scalable applications in large-scale clustered environments can be difficult, but Apache Mesos makes it easier with efficient resource isolation and sharing across application frameworks. The goal of this book is to guide you through the practical implementation of the Mesos core along with a number of Mesos supported frameworks. You will begin by installing Mesos and then learn how to configure clusters and maintain them. You will also see how to deploy a cluster in a production environment with high availability using Zookeeper. Next, you will get to grips with using Mesos, Marathon, and Docker to build and deploy a PaaS. You will see how to schedule jobs with Chronos. We’ll demonstrate how to integrate Mesos with big data frameworks such as Spark, Hadoop, and Storm. Practical solutions backed with clear examples will also show you how to deploy elastic big data jobs. You will find out how to deploy a scalable continuous integration and delivery system on Mesos with Jenkins. Finally, you will configure and deploy a highly scalable distributed search engine with ElasticSearch. Throughout the course of this book, you will get to know tips and tricks along with best practices to follow when working with Mesos.
Table of Contents (15 chapters)
About the Authors
About the Reviewer
Getting Started with Apache Mesos
Implementing High Availability with Apache ZooKeeper
Running and Maintaining Mesos
Understanding the Scheduler API
Deploying PaaS with Marathon
Job Scheduling with Metronome