WHITE PAPER:
This commissioned study conducted by Forrester on behalf of IBM describes how one company was able to realize a 42% 3-year return on investment by migrating from an open source application server to WebSphere Application Server (WAS).
WHITE PAPER:
IBM WebSphere Application Server, Version 6.1 is the foundation of the IBM WebSphere software platform and is the key building block for a Service Oriented Architecture (SOA).
WHITE PAPER:
An enterprise service bus (ESB) increases the flexibility provided by a service oriented architecture (SOA) by decoupling a service requester from a service provider. Read this white paper to learn how these capabilities can be used by banks to simplify integration of banking services, lower costs and speed up time to market.
WHITE PAPER:
Learn how elastic caching solutions in your distributed environment can empower the application performance you need to obtain business agility and thrive against the competition while managing costs.
WHITE PAPER:
This high level overview of the IBM WebSphere CloudBurst Appliance discusses current issues being faced in the information technology industry and how WebSphere CloudBurst addresses many of them.
WHITE PAPER:
This solution brief explains how IBM ILOG solutions help government agencies accelerate policy implementation, automate key processes, extend legacy systems and reduce development time and risk.
WHITE PAPER:
This white paper explains the benefits of On Demand Business, standards-based development and SOA as a part of product offerings and how SOA has shifted from concept to a viable approach to managing disparate IT resources.
WHITE PAPER:
This white paper is intended to inform the reader of what business process management (BPM) is about, the benefits that can be obtained from its implementation, how to place BPM into operation and why IBM WebSphere® Process Server should be deployed on the IBM System z™ mainframe.
WHITE PAPER:
This white paper describes how IBM's Information Server FastTrack accelerates the translation of business requirements into data integration projects. Data integration projects require collaboration across analysts, data modelers and developers.
