SAN Buzz July I

Summer and vacation time is approaching quickly, so this will most likely be the only entry for the current month, unless -of course- major turmoil is going to happen like -say- CISCO buys EMC...

Along the same lines and topics, I came accross this interview with CISCO CEO John Chambers and he actually and openly addresses some of the questions around their storage partners (OSMs) and VMware.

And to round up the virtualization topic, here's a great piece on how integration and connectivity to storage plays an increasingly important role in VMware's strategy.
While Microsoft's competing offer -Hyper-V- obviously still seems to lack some of the storage capabilities of rival VMware.

From the IBM/Brocade SAN segment of the market, here's a link to the newest IBM SAN Newsletter.

Watch out for "application- or file-aware storage" hype?!
Well, not sure this is going to take off, but I've seen that term poping up more frequently than it used to a couple of months ago and not only from Pillar Data Systems, the company who claims to actually have implemented it:
Check out these references here, here, and here.
After all, it's not new, as this paper from the stone-age of storage (anno 1999) prooves!

No blog entry in 2008 without FCoE news:
A very excited article ("no need to wait") about the technology from BNT (the blade-networking spinoff of Nortel) and one more cautious (some may say "intentionally dampening the expectations") statement from Brocade here.

And lastly a couple of miscellaneous news from around IT:

• IBM and ETHZ (Swiss Federal Institute of Technology) plan to build a joint nanotechnology center on the IBM campus in Zurich/Rueschlikon: "The new nanotechnology center will occupy nearly 1,000 square meters of cleanroom space dedicated to research projects, such as carbon-based materials, nano-photonics, spintronics, nanowires, and tribology."
• Does "NAS" stand for "never accesses storage"? Fact is that clients are increasingly lost in heaps of filers and unstructered data and many will find, that most of that data is rarely or never used. Time to think about data classification!