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Service Grid

Service Grid (Chappell)

How can deferred service state data be scaled and kept fault-tolerant?

Problem

State data deferred via State Repository or Stateful Services can be subject to performance bottlenecks and failure, especially when exposed to high-usage volumes.

Solution

State data is deferred to a collection of stateful system services that form a grid that provides high scalability and fault tolerance through memory replication and redundancy and supporting infrastructure.

Application

Grid technology is introduced into the enterprise or inventory architecture.

Impacts

This pattern can require a significant infrastructure upgrade and can correspondingly increase governance burden.

Architecture

Enterprise, Inventory, Service
Service Grid: A service grid establishes replicated instances of stateful grid services across different server machines, resulting in increased scalability and reliability of state data. (A grid service is represented by the standard service symbol enclosed in a honeycomb cell.)

A service grid establishes replicated instances of stateful grid services across different server machines, resulting in increased scalability and reliability of state data. (A grid service is represented by the standard service symbol enclosed in a honeycomb cell.)

SOA Design Patterns

This page contains excerpts from:

SOA Design Patterns by Thomas Erl

Foreword by Grady Booch

With contributions from David Chappell, Jason Hogg, Anish Karmarkar, Mark Little, David Orchard, Satadru Roy, Thomas Rischbeck, Arnaud Simon, Clemens Utschig, Dennis Wisnosky, and others.

(ISBN: 0136135161, Hardcover, Full-Color, 400+ Illustrations, 865 pages)

For more information about this book, visit www.servicetechbooks.com.