Application modernization is one of those IT initiatives that packs the one-two wallop of cutting costs while improving agility and business outcomes. That combination of doing more for less makes so much sense these days, and it may be the new number one requirement for any IT budget.
HP has correctly identified a weakness in the SaaS and cloud markets. In many cases, applications and productivity services came to market first, but lacked the enterprise-caliber infrastructure, management, and auditing and fiscal control mechanisms. Now, HP is bringing these traditional IT requirements to the cloud domains, and making them available to the large market of existing providers.
Using SOA repositories, or groups of repositories, IT and business assets can be quickly federated and integrated for business process alignment and consolidation. Furthermore, these processes can be managed centrally via policies and governance definitions, even across far-flung global operations.
When both data and applications reside in the same system, they are independent of one another, but both execute as "first-class citizens" with their respective data and application management services.
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IBM needs to make sure the core value of integration, a mainstay of its WebSphere brands, does not slide up and out of the enterprises data center and then become controlled then by the likes of cloud leaders Google, Microsoft, Amazon and Salesforce.com. I guess we can think of Cast Iron as a way to bring WebSphere to cloud integrations.
BriefingsDirect recently caught up with Thorsten Hesse, manager of Innovative Products for ThinPrint, to discuss the business drivers of cloud computing, the various options available, and the obstacles to wider-spread adoption of the technology.
The latest version of Revolution R Enterprise comes complete with an add-on package called RevoScaleR, a framework for multi-core processing of large data sets. With RevoScaleR, Revolution Analytics targets some of the largest levels of capacity and performance for analyzing big data.
Bringing all of that information together gives customers a comprehensive view of the services they receive from IT operations. That's our aim -- to provide customers with everything they need at their fingertips.
My take is that these purchases are for more than the engines that drive analytics -- they are for the engines that drive SaaS, cloud, mobile, web and what we might call the more modern work loads ... data intensive, high-scaling, fast-changing and services-oriented.