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Fast Data Processing Systems with SMACK Stack

You're reading from  Fast Data Processing Systems with SMACK Stack

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786467201
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Raúl Estrada Raúl Estrada
Profile icon Raúl Estrada

Table of Contents (15) Chapters

Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
An Introduction to SMACK The Model - Scala and Akka The Engine - Apache Spark The Storage - Apache Cassandra The Broker - Apache Kafka The Manager - Apache Mesos Study Case 1 - Spark and Cassandra Study Case 2 - Connectors Study Case 3 - Mesos and Docker

Summary


In this chapter, we have seen the Mesos architecture. We also reviewed how Mesos makes the resource allocation, the DRF algorithm, and reviewed how to run Mesos on AWS and on a private data center.

We visited the most important Mesos frameworks: Marathon, Chronos, Aurora, and Singularity. We also reviewed the Frameworks API.

In the last section, we reviewed how to run Spark, Cassandra, and Kafka on Apache Mesos, also covered topics such as the setup, configuration, and management of these frameworks on a distributed infrastructure using Mesos.

I hope that this chapter has armed you with all the resources that you require to effectively manage the complexities of today's modern DevOps.

The following chapters show study cases, considering Mesos as an infrastructure technology. The examples not focused on Mesos assume you are already running on it.

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