Book Image

Mastering Mesos

By : Dipa Dubhashi, Akhil Das
Book Image

Mastering Mesos

By: Dipa Dubhashi, Akhil Das

Overview of this book

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.
Table of Contents (16 chapters)
Mastering Mesos
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Spark on Mesos


Apache Spark is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. It is currently one of the fastest growing big data technologies and is used by several leading companies in production.

Interestingly, Apache Spark was first started as a research project in 2009 at AmpLab, UC Berkeley, to prove that a distributed processing framework leveraging memory resources can run atop Apache Mesos. It was open sourced in 2010, entered the Apache incubator in 2013, and became an Apache top-level project in 2014. In its short existence, Apache Spark has managed to capture the attention of the developer community and is slowly finding its way into the lexicon of business decision makers as well. This, along with the fact that it is now in production in over 5000 organizations, speaks volumes about its versatility and utility.

Why Spark

With earlier distributed parallel computation frameworks such as Map Reduce, each computation step had...