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Learn Apache Mesos: A beginner's guide to scalable cluster management and deployment - Softcover

 
9781789137385: Learn Apache Mesos: A beginner's guide to scalable cluster management and deployment

Inhaltsangabe

Scale applications with high availability and optimized resource management across data centers

Key Features

  • Create clusters and perform scheduling, logging, and resource administration with Mesos
  • Explore practical examples of managing complex clusters at scale with real-world data
  • Write native Mesos frameworks with Python

Book Description

Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. This book will help you build a strong foundation of Mesos' capabilities along with practical examples to support the concepts explained throughout the book.

Learn Apache Mesos dives straight into how Mesos works. You will be introduced to the distributed system and its challenges and then learn how you can use Mesos and its framework to solve data problems. You will also gain a full understanding of Mesos' internal mechanisms and get equipped to use Mesos and develop applications. Furthermore, this book lets you explore all the steps required to create highly available clusters and build your own Mesos frameworks. You will also cover application deployment and monitoring.

By the end of this book, you will have learned how to use Mesos to make full use of machines and how to simplify data center maintenance.

What you will learn

  • Deploy and monitor a Mesos cluster
  • Set up servers on AWS to deploy Mesos components
  • Explore Mesos resource scheduling and the allocation module
  • Deploy Docker-based services and applications using Mesos Marathon
  • Configure and use SSL to protect crucial endpoints of your Mesos cluster
  • Debug and troubleshoot services and workloads on a Mesos cluster

Who this book is for

This book is for DevOps and data engineers and administrators who work with large data clusters. You'll also find this book useful if you have experience working with virtualization, databases, and platforms such as Hadoop and Spark. Some experience in database administration and design will help you get the most out of this book.

Table of Contents

  1. Getting Started with Apache Mesos
  2. Setup of Servers on AWS
  3. Setting up Mesos Single and Multi-node cluster
  4. Mesos Fundamentals
  5. Deploying application using Marathon
  6. Configuring Mesos Logging and Debugging
  7. Setting up Cassandra on Mesos
  8. Managing Resources in Mesos

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Über die Autorin bzw. den Autor

Manuj Aggarwal is an entrepreneur, investor, and technology enthusiast. Over the last few years, he has been a business owner, technical architect, CTO, coder, start up consultant, and more. Currently, he is the principal consultant, architect, and CTO of a software consulting company, TetraNoodle Technologies, based in Vancouver, Canada. He works with various start-ups on a number of cutting edge and interesting problems. Whether it is ideation and the refining of your start up idea, or building a dream team to execute the idea, he provides a diverse set of solutions that help these start-ups to succeed in their plans. He has been active in the software industry since 1997, and has worked with early-stage businesses through to Fortune 100 mega-corporations. He is passionate about sharing all the knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders, and co-founders of tech start-ups.

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Aggarwal, Manuj
Verlag: Packt Publishing, 2018
ISBN 10: 1789137381 ISBN 13: 9781789137385
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Anbieter: moluna, Greven, Deutschland

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Zustand: New. Apache Mesos is an open source cluster manager which provides efficient resource isolation and sharing across distributed applications. You will learn how Mesos works and then develop applications. You will learn to make full utilization of machines and sim. Artikel-Nr. 448330000

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Aggarwal, Manuj
Verlag: Packt Publishing, 2018
ISBN 10: 1789137381 ISBN 13: 9781789137385
Neu Softcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

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