Book Image

Fast Data Processing Systems with SMACK Stack

By : Raúl Estrada
Book Image

Fast Data Processing Systems with SMACK Stack

By: Raúl Estrada

Overview of this book

SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing. We’ll start off with an introduction to SMACK and show you when to use it. First you’ll get to grips with functional thinking and problem solving using Scala. Next you’ll come to understand the Akka architecture. Then you’ll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you’ll learn how to perform linear scalability in databases with Apache Cassandra. You’ll grasp the high throughput distributed messaging systems using Apache Kafka. We’ll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing.
Table of Contents (15 chapters)
Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

Scheduling and management frameworks


Here we mention some popular Mesos frameworks to deploy, discover, balance load, and handle failure of services. Unlike other application frameworks, these frameworks are used to service management.

In this context, we define two concepts as follows:

  • Load balancing: To ensure an equitable workload distribution among the instances.
  • Service discovery: To keep track of the instances on which a particular service is running

Some important Mesos frameworks are:

  • Marathon: Framework to launch and manage long-running applications
  • Chronos: A cluster scheduler
  • Apache Aurora: Framework to manage long-running services and cron jobs
  • Singularity: Platform-as-a-service (PaaS) for running services
  • Marathoner: Service discovery for Marathon
  • Consul: Framework for orchestration and service discovery
  • HAProxy: Framework used for load balancing
  • Bamboo: Framework to automatically configure HAProxies
  • NetflixFenzo: A task scheduler
  • Yelp's PaaSTA: A PaaS for running services.

In this section...