De-mystifying Grid Technologies

Continued from page: 2

Tuesday, April 03, 2007

Grid in the Enterprise

Enterprises have their own complex applications and huge repositories of data which also require high if not mammoth (as is the case with scientific data) computational power to analyze. And not surprisingly, vendors like Sun Microsystems, Oracle, Fujitsu, and Informatica as well as others have started utilizing and implementing grid based solutions to tackle diverse issues. For example, Sun and Informatica are providing grid computing based solutions for data centric needs of organizations. They also provide data integration using a grid. By using a grid for data centric needs brings with it major advantages such as high availability, automatic recovery, adaptive load balancing where-in load balancing works on the basis of situation at hand, and also sessions on Grid. Similarly Oracle's grid implementations cover a wide range of services for the enterprise.

The most interesting one from these is the grid solution for SOA runtime governance and SOA infrastructure monitoring. Now this is really interesting because as you would know and as we have gone on record saying that SOA implementations more often than not bring together a variety of systems, components, and applications under one roof. Implementing a grid control for SOA runtime governance would make runtime recording of service requests, monitoring the complex process flows and similar tasks easier and more manageable due to the high grade computation power that grid provides. Other than this their grid solution also supports identity management, and the other wise cumbersome task of application server cluster deployment.

With the grid making a steady progress into enterprises, for primarily smoothing out management or deployment of very large implementations, these technologies can surely address a lot more pain areas if carefully matured over time. After all, who would not want their processes, analytics or even data needs to be not limited by computational power or storage considerations.

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