Book Image

Apache Mesos Essentials

By : Dharmesh Kakadia
Book Image

Apache Mesos Essentials

By: Dharmesh Kakadia

Overview of this book

<p>Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks. It allows developers to concurrently run the likes of Hadoop, Spark, Storm, and other applications on a dynamically shared pool of nodes. With Mesos, you have the power to manage a wide range of resources in a multi-tenant environment.</p> <p>Starting with the basics, this book will give you an insight into all the features that Mesos has to offer. You will first learn how to set up Mesos in various environments from data centers to the cloud. You will then learn how to implement self-managed Platform as a Service environment with Mesos using various service schedulers, such as Chronos, Aurora, and Marathon. You will then delve into the depths of Mesos fundamentals and learn how to build distributed applications using Mesos primitives.</p> <p>Finally, you will round things off by covering the operational aspects of Mesos including logging, monitoring, high availability, and recovery.</p>
Table of Contents (15 chapters)
Apache Mesos Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 3. Running Spark on Mesos

Spark is a fast and general execution engine for large-scale data processing. One of the prime uses of large-scale clusters is running data processing jobs. Spark provides data processing of many forms as part of the Berkeley Data Analytics Stack (BDAS). Spark supports batch processing, iterative processing, near real-time processing, and stream processing. In this chapter, we will walk you through the steps of setting up Spark on the Mesos cluster:

  • Introducing Spark

  • Spark job scheduling

  • Spark Standalone mode

  • Spark on Mesos

  • Tuning Spark on Mesos