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Apache Mesos Cookbook. Efficiently handle and manage tasks in a distributed environment

Język publikacji: angielskim
Apache Mesos Cookbook. Efficiently handle and manage tasks in a distributed environment David Blomquist, Tomasz Janiszewski - okladka książki

Apache Mesos Cookbook. Efficiently handle and manage tasks in a distributed environment David Blomquist, Tomasz Janiszewski - okladka książki

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146
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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.

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O autorach książki

David Blomquist been working with computers since the 1980s. His first computer was an Apple Macintosh and the first networked computer he managed was a 10 terminal Xenix system. Since that time, David has held positions in virtually every area of IT, including operations, development, and architecture. David now specializes in designing Big Data, HPC, and Grid Computing systems with applications in Health Care and Science. Most recently, he has designed and deployed several large-scale clusters for the Federal Government.
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