Dipa Dubhashi - Mastering Mesos
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- Master the architecture of Mesos and intelligently distribute your task across clusters of machines
- Explore a wide range of tools and platforms that Mesos works with
- This real-world comprehensive and robust tutorial will help you become an expert
Apache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks.
This book will take you on a journey to enhance your knowledge from amateur to master level, showing you how to improve the efficiency, management, and development of Mesos clusters. The architecture is quite complex and this book will explore the difficulties and complexities of working with Mesos.
We begin by introducing Mesos, explaining its architecture and functionality. Next, we provide a comprehensive overview of Mesos features and advanced topics such as high availability, fault tolerance, scaling, and efficiency. Furthermore, you will learn to set up multi-node Mesos clusters on private and public clouds.
We will also introduce several Mesos-based scheduling and management frameworks or applications to enable the easy deployment, discovery, load balancing, and failure handling of long-running services. Next, you will find out how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools.
This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka.
What you will learn- Understand the Mesos architecture
- Manually spin up a Mesos cluster on a distributed infrastructure
- Deploy a multi-node Mesos cluster using your favorite DevOps
- See the nuts and bolts of scheduling, service discovery, failure handling, security, monitoring, and debugging in an enterprise-grade, production cluster deployment
- Use Mesos to deploy big data frameworks, containerized applications, or even custom build your own applications effortlessly
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.
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.
Table of Contents- Introducing Mesos
- Mesos Internals
- Getting Started with Mesos
- Service Scheduling and Management Frameworks
- Mesos Cluster Deployment
- Mesos Frameworks
- Mesos Containerizers
- Mesos Big Data Frameworks
- Mesos Big Data Frameworks 2
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Copyright 2016 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: May 2016
Production reference: 1200516
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78588-624-9
www.packtpub.com
Authors
Dipa Dubhashi
Akhil Das
Reviewer
Naveen Molleti
Commissioning Editor
Akram Hussain
Acquisition Editor
Sonali Vernekar
Content Development Editor
Onkar Wani
Technical Editor
Hussain Kanchwala
Copy Editor
Shruti Iyer
Project Coordinator
Bijal Patel
Proofreader
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Kirk D'Penha
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Cover Work
Aparna Bhagat
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.
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.
We would like to thank several people that helped make this book a reality: Revati Dubhashi, without whose driving force this book would not have seen the light of day; Chithra, for her constant encouragement and support; and finally, Mayur Rustagi, Naveen Molleti, and the entire Sigmoid family for their invaluable guidance and technical input.
Naveen Molleti works at Sigmoid as a technology lead, heading product architecture and scalability. Although he graduated in computer science from IIT Kharagpur in 2011, he has worked for about a decade developing software on various OSes and platforms in a variety of programming languages. He enjoys exploring technologies and platforms and developing systems software and infrastructure.
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Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively. It improves resource utilization, simplifies system administration, and supports a wide variety of distributed applications that can be effortlessly deployed leveraging its pluggable architecture.
This book will provide a detailed step-by-step guide to deploying a Mesos cluster using all the standard DevOps tools to port Mesos frameworks effectively and in general demystify the concept of Mesos.
The book will first establish the raison d'tre of Mesos and explain its architecture in an effective manner. From there, the book will walk the reader through the complex world of Mesos, moving progressively from simple single machine setups to highly complex multi-node cluster setups with new concepts logically introduced along the way. At the end of the journey, the reader will be armed with all the resourcesthat he/she requires to effectively manage the complexities of today's modern datacenter requirements.
, Introducing Mesos , introduces Mesos, dives deep into its architecture, and introduces some important topics, such as frameworks, resource allocation, and resource isolation. It also discusses the two-level scheduling approach that Mesos employs, provides a detailed overview of its API, and provides a few examples of how Mesos is used in production.
, Mesos Internals , provides a comprehensive overview of Mesos' features and walks the reader through several important topics regarding high availability, fault tolerance, scaling, and efficiency, such as resource allocation, resource reservation, and recovery, among others.
, Getting Started with Mesos , covers how to manually set up and run a Mesoscluster on the public cloud (AWS, GCE, and Azure) as well as on a private datacentre (on premise). It also discuss the various debugging methods and explores how totroubleshoot the Mesos setup in detail.
, Service Scheduling and Management Frameworks , introduces several Mesos-based scheduling and management frameworks or applications that are required for the easy deployment, discovery, load balancing, and failure handling of long-running services.
, Mesos Cluster Deployment , explains how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools used by system administrators and DevOps engineers. It alsodiscusses some of the common problems faced while deploying a Mesos cluster along with their corresponding resolutions.
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