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

The Mesos architecture


Modern organizations have a lot of different kinds of applications for different business needs. Modern applications are distributed and they are deployed across commodity hardware. Organizations today run different applications in siloed environments, where separate clusters are created for different applications. This static partitioning of cluster leads to low utilization, and all the applications will duplicate the effort of dealing with distributed infrastructures. Not only is this a wasted effort, but it also undermines the fact that distributed systems are hard to build and maintain. This is challenging for both developers and operators. For developers, it is a challenge to build applications that scale elastically and can handle faults that are inevitable in large-scale environment. Operators, on the other hand, have to manage and scale all of these applications individually in siloed environments.

The preceding situation is like trying to develop applications...