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Mastering Mesos

You're reading from Mastering Mesos The ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos

Product type Paperback

Published in May 2016

Publisher Packt

ISBN-13 9781785886249

Length 352 pages

Edition 1st Edition

Tools

Mesos

Concepts

Data Processing

Authors (2):

Akhil Das

Dipa Dubhashi

View More author details

Table of Contents (11) Chapters

Preface

1. Introducing Mesos FREE CHAPTER

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

Chapter 2. Mesos Internals

This chapter provides a comprehensive overview of Mesos' features and walks the reader through several important topics regarding high availability, fault tolerance, scaling, and efficiency. Mentioned here are the topics we will cover in this chapter:

Scaling and efficiency
- Resource allocation (the dominant resource fairness algorithm)
- Reservation (static and dynamic)
- Oversubscription
- Extendibility
High availability and fault tolerance
- Slave recovery
- Reconciliation
- Persistent volumes

The rest of the chapter is locked

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Authors (2)

Dubhashi

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.

See other products by Dubhashi

Das

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 Das

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