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Service Grid (Chappell)


Home > Inventory Implementataion Patterns > Service Grid

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.

Principles

Service Statelessnes

Architecture

Enterprise, Inventory, Service




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.)


Related Patterns in This Catalog

Canonical Resources (Erl), Cross-Domain Utility Layer (Erl), Message Metadata (Erl), Partial State Deferral (Erl), State Repository (Erl), Stateful Services (Erl)


Related Service-Oriented Computing Goals

Increased Vendor Diversification Options, Increased ROI, Increased Organizational Agility, Reduced IT Burden


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.soabooks.com.
The Prentice Hall Service-Oriented Computing Series from Thomas Erl
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