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  • Develop clients and workers to process data
  • Use Gearman to implement a map-reduce cluster
  • Take existing libraries and use them with Gearman
  • Learn how Gearman stores jobs and available persistence options
  • Build a cluster of managers, workers, and clients to scale your application
  • Discover ways to use Gearman to avoid single-point-of-failure in your system

Many of today’s applications need to be able to process large volumes of data, and vertical scaling has its limits both in terms of prohibitive cost and hardware limits. Gearman is an open source job manager that is well-suited to building horizontally scalable systems, from map-reduce algorithms to simple data processors capable of handling massive amounts of information.

Instant Gearman is a practical, hands-on guide to getting started with building an open source job management server system that is built to grow. Learn the basics of building a distributed application that spans multiple components and learn how Gearman fits into building an application that scales from one to hundreds of components that interact to process data. With Gearman, you can build software that scales horizontally as your need for computation increases.

Instant Gearman has in-depth examples and a step-by-step approach to building distributed systems, helping you to build systems that are scalable and modular in their approach to processing data.

Once you are comfortable with building simple workers and clients, learn how to build a cluster of managers and see how to reduce single-point-of-failure in your architecture. Next, build a simple map-reduce application using Gearman and scale it up from a single instance to multiple parallel processing components.

  • Learn something new in an Instant! A short, fast, focused guide delivering immediate results
  • Build a cluster of managers, workers, and clients using Gearman to scale your application
  • Understand how to reduce single-points-of-failure in your distributed applications
  • Build clients and workers to process data in the background and provide real-time updates to your frontend
Page Count 58
Course Length 1 hours 44 minutes
ISBN 9781783284085
Date Of Publication 25 Jul 2013


John Ewart

John Ewart is a system architect, software developer, and lecturer. He has designed and taught courses at a variety of institutions, including the University of California, The California State University, and local community colleges. These courses cover a wide range of computer science topics, including Java, data structures and algorithms, operating systems fundamentals, Unix and Linux system administration, and web application development. In addition to working and teaching, he maintains and contributes to a number of open source projects. He currently resides in Redmond, Washington, with his wife, Mary, and their two children.