Apache Mesos Essentials
By Dharmesh Kakadia
Publisher: Packt Publishing
Final Release Date: June 2015
Pages: 230

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.

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.

Finally, you will round things off by covering the operational aspects of Mesos including logging, monitoring, high availability, and recovery.

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oreillyApache Mesos Essentials

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Please listen to this podcast before buying the book

By Marcelo

from San Francisco



    • Not comprehensive enough
    • Too basic
    • Too many errors

    Best Uses

      Comments about oreilly Apache Mesos Essentials:

      The author is actually clueless about Mesos itself. The book is full of errors and the author is conceptually wrong as well on several concepts. The podcast interviewer gracefully gives several hints to the author, but he remains clueless...

      I already did not like Mesos, and now dont like it even more.

      I would highly recommend people stay away from this book.


      (3 of 3 customers found this review helpful)


      Mostly reference material

      By Fred

      from Seattle

      Verified Reviewer

      Comments about oreilly Apache Mesos Essentials:

      Mostly a collection of reference material that can be found on the official website or blogs.

      The few actual pieces of advice and best practices a buried in between list of API docs and tables

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