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Mastering Mesos

You're reading from Mastering Mesos

Product type Book

Published in May 2016

Publisher Packt

ISBN-13 9781785886249

Pages 352 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Authors (2):

Dipa Dubhashi

Akhil Das

View More author details

Table of Contents (16) Chapters

Mastering Mesos

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Preface

1. Introducing Mesos

2. Mesos Internals

3. Getting Started with Mesos

4. Service Scheduling and Management Frameworks

5. Mesos Cluster Deployment

6. Mesos Frameworks

7. Mesos Containerizers

8. Mesos Big Data Frameworks

9. Mesos Big Data Frameworks 2

Index

Summary

In this chapter, we dived deep into some of the most important features of Mesos that make it efficient, scalable, and fault tolerant. Advanced topics such as Mesos' resource allocation options and production-grade fault tolerance capabilities were explained in detail. With this strong background, the reader will be guided through the more practical aspects of Mesos installation, administration, and framework setup in the subsequent chapters.

In the next chapter, we will discuss how to set up a multi-node Mesos cluster both on a public cloud service as well as on a private datacenter with a discussion on the common issues faced and how to debug and troubleshoot them.

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Authors (2)

Dipa Dubhashi

Dipa Dubhashi is an alumnus of the prestigious Indian Institute of Technology and heads product management at Sigmoid. His prior experience includes consulting with ZS Associates besides founding his own start-up. Dipa specializes in envisioning enterprise big data products, developing their roadmaps, and managing their development to solve customer use cases across multiple industries. He advises several leading start-ups as well as Fortune 500 companies about architecting and implementing their next-generation big data solutions. Dipa has also developed a course on Apache Spark for a leading online education portal and is a regular speaker at big data meetups and conferences.

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Akhil Das

Akhil Das is a senior software developer at Sigmoid primarily focusing on distributed computing, real-time analytics, performance optimization, and application scaling problems using a wide variety of technologies such as Apache Spark and Mesos, among others. He contributes actively to the Apache Spark project and is a regular speaker at big data conferences and meetups, MesosCon 2015 being the most recent one.

See other products by Akhil Das

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