IBM introduces a new mainframe computer targeted to some markets better served by clusters of smaller servers
IBM debuted its z Systems line of mainframe computers in January, 2015. The product line is targeted to a hot segment of enterprise computing consumers, organizations with a burning need to manage mobile devices, users availing of cloud computing offers and, above all, secure online data processing.
Readers can learn more about this product line on its website, IBM z Systems. A quick glance at the marketing communications content reveals some popular and absolutely current computing themes:
- mobile computing
- enterprise social computing
- real-time analytics and “in-transaction” analytics
- secure, cloud computing
Video product presentations are available on the product website, along with a traditional datasheet in PDF format. A quick glance at the datasheet exposes a cluster approach to delivering the computing power of a typical high performance computing (HPC) system. No problem so far, but how does the introduction of a hardware computing platform with these capabilities align alongside IBM’s announced effort to become a major player in the public and private cloud market for IaaS, PaaS and SaaS? Does it make sense for developers building solutions for Hadoop, Map Reduce, and other cluster architectures optimized for lots of comparatively much smaller CPUs to focus on porting these applications over to IBM’s platform?
So one needs to question just how this product line adds value to IBM’s effort to catch up with its peers in the cloud computing business with systems like these. Certainly a review of the website for these new products is recommended given the themes articulated by the press releases about the z System computers. The most prominent of these are all allusions to mainframe computing, which, in 2014, seems to be something of anathema. Big iron is, unfortunately, no longer the recommended way for most enterprise businesses to proceed, at least not for the ones already committed to Azure, AWS and Google Compute Engine.
Ira Michael Blonder
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