A data grid is a means of combining computing resources. Data grids provide a way to distribute object storage and add capacity on demand in the form of CPU, memory, and network resources from additional servers. All three resource types play an important role in how fast data can be processed, and how much data can be processed at once. WebSphere eXtreme Scale provides a solution to scalability issues through caching and grid technology. Working with a data grid requires new approaches to writing highly scalable software; this book covers both the practical eXtreme Scale libraries and design patterns that will help you build scalable software.
Starting with a blank slate, this book assumes you don’t have experience with IBM WebSphere eXtreme Scale. It is a tutorial-style guide detailing the installation of WebSphere eXtreme Scale right through to using the developer libraries. It covers installation and configuration, and discusses the reasons why a data grid is a viable middleware layer. It also covers many different ways of interacting with objects in eXtreme Scale. It will also show you how to use eXtreme Scale in new projects, and integrate it with relational databases and existing applications.
This book covers the ObjectMap, Entity, and Query APIs for interacting with objects in the grid. It shows client/server configurations and interactions, as well as the powerful DataGrid API. DataGrid allows us to send code into the grid, which can be run where the data lives. Equally important are the design patterns that go alongside using a data grid. This book covers the major concepts you need to know that prevent your client application from becoming a performance bottleneck. By the end of the book, you’ll be able to write software using the eXtreme Scale APIs, and take advantage of a linearly scalable middleware layer.
What you will learn from this book?
- Explore different ways of interacting with data in the grid
- Configure ObjectGrid instances programmatically and via XML configuration files
- Achieve extreme performance by using grid agents
- Explore practical data grid usage patterns
- Integrate a data grid and a database
- Configure eXtreme Scale for long-term deployments through educated capacity planning
- Configure an ObjectGrid client application using Spring
- Give your database a shock-absorber by putting a data grid in front of it
- Support thousands of concurrent clients by adding capacity to the grid and scale out linearly
- Protect your data by keeping it on multiple server racks and in multiple data centers
- Explore the features of WebSphere eXtreme Scale by expanding the Entity and Query repertoire
Approach
This book is a real-world practical tutorial with lots of examples. The data grid concepts are clearly explained and code samples are provided. The concepts are applicable to all IMDGs, and the examples represent the eXtreme Scale approach to the problem.
Who this book is written for?
This book is aimed at intermediate-level JavaEE Developers who want to build applications that handle larger data sets with massive scalability requirements. No previous experience of WebSphere eXtreme Scale is required.
About the Author
Anthony Chaves
Anthony writes software for customers of all sizes. He likes building scalable, robust software. Customers have thrown all kinds of different development environments at him: Java, C, Rails, mobile device platforms -but no .NET (yet).
Anthony particularly likes user/device authentication problems and applied scalability practices. Cloud-computing buzzword bingo doesn’t fly with him. He started the Boston Scalability User Group in 2007.
Book Details
- Paperback: 300 pages
- Publisher: Packt Publishing (November 5, 2009)
- Language: English
- ISBN-10: 1847197442
- ISBN-13: 978-1847197443
- File Size: 7.2 MiB
- Hits: 560 times
