Accelerating Cloud Transformation with Microsoft StorSimple’s New Virtual Appliance

(Excerpt from original post on the Taneja Group News Blog)

We’ve always admired StorSimple from before Microsoft acquired them. And what was Microsoft up to, getting into the storage infrastructure space?  Well, if it wasn’t apparent before it is now – Microsoft StorSimple is a great on-ramp to the cloud (Azure naturally), especially if formal executive sponsored cloud transformation initiatives just aren’t in the cards for the rank and file IT organization. And this week Microsoft just announced a virtual StorSimple appliance option that can help accelerate cloud transformations even faster.

…(read the full post)

Scale-out architecture and new data protection capabilities in 2016

An IT industry analyst article published by SearchDataCenter.


January was a time to make obvious predictions and short-lived resolutions. Now is the time for intelligent analysis of the shark-infested waters of high tech. The new year is an auspicious time for new startups to come out of the shadows. But what is just shiny and new, and what will really impact data centers?

From application-focused resource management to scale-out architecture, here are a few emerging trends  that will surely impact the data center.

…(read the complete as-published article there)

Out on a data storage market limb: Six predictions for 2015

An IT industry analyst article published by SearchStorage.

Our crystal ball tells us this will be a year of change for the data storage market.


With another year just getting underway, we here at Taneja Group felt we needed a few analyst predictions to get things off on the right foot. The easiest predictions, and often the most likely ones, are that things will continue mostly as they are. But what fun is that? So, like any good fortune teller, we held hands around a crystal ball, gathered our prescient thoughts and with the help of the storage spirits came up with these six predictions for change in the data storage market for 2015.

  1. The overall traditional storage market will stay relatively flat despite huge growth in big data and the onrushing Internet of Things. Most new big data will be unstructured and big data architectures like Hadoop will still tend to leverage DAS for storage. In addition, many big data players are pushing the data lake or hub concept to land even bigger chunks of other enterprise data on big data clusters. While we do see some salvation in this space from vendors […] that enable big data analysis to leverage traditional enterprise storage, it won’t be enough to make a big dent in 2015.We’ve also noticed that many storage shops have yet to take advantage of the emerging capacity optimizations now available (e.g., thin provisioning, linked clones, global deduplication, inline compression and so on) in recent versions of competitive arrays that are becoming table stakes for new acquisition decisions. Hybrid arrays, in particular, are bringing flash-enabling space efficiencies across their full complement of storage tiers, and most arrays these days are turning at least hybrid.
  2. Speaking of flash, there are too many all-flash array (AFA) vendors and not enough differentiation. During 2012/2013 the first AFA vendors had the market to themselves, but with all the big players rolling out full-fledged flash offerings, opportunities are declining. With [many vendors] all pushing their own solutions (both AFA and hybrid), the remaining independent vendors will have a harder time finding a niche where they can survive. We also expect to see a new round of very high-end performance storage architectures in 2015[…]As a related trend, we anticipate that hybrid-based Tier-1 arrays will lose ground to AFAs in general, as the cost of flash drops and flash performance proves valuable to most if not all Tier-1 I/O. In virtualization environments, this trend will be somewhat lessened by the rise in popularity of server-side flash and/or memory caching/tiering solutions.
  3. Data protection and other add-on storage capabilities will become more directly baked into storage solutions. We expect to see more traditional arrays follow the examples of

…(To read the complete six item prediction see as-published article over there)

What are the advantages to using a hybrid cloud model for backup?

An IT industry analyst article published by SearchCloudStorage.

Hybrid clouds are most frequently used for backup purposes because they relieve enterprises of the need to use a secondary data center.


article_What-are-the-advantages-to-using-a-hybrid-cloud-model-for-backup
The hybrid cloud model tends to get used today mostly for cold storage — or backup and disaster recovery purposes.

Certainly that situation is evolving. People are using cloud storage and hybrid cloud storage for more use cases than ever, such as experimenting with partition data for big data analytics, or looking at some applications that were born in the cloud and figuring out how to make them work with data that’s on-site.

But today, they’re using it by and large as a cold storage tier. Using the hybrid cloud as a backup site is really a great thing because you don’t have to build a complete second data center or another off-site repository. If you just have one data center — or primary data center — you can take those backup images and put them into a public cloud.

After that, you can pull those images out at any point. But the great thing is you don’t have to pull them out back to the exact same place. If you lost your primary site and you want to restore those images to a second site or a different site, you can do that. If you’re careful about how you build this and you’re completely virtualized, you can restore your backup images to the same cloud or even a different cloud. So now, if you lose your primary site, you can still back up and restore within the cloud…

…(read the complete as-published article there)

Pernix Data FVP Now Cache Mashing RAM and Flash

(Excerpt from original post on the Taneja Group News Blog)

Performance acceleration solutions tend to either replace key infrastructure or augment what you have. PernixData FVP for VMware clusters is firmly in the second camp, today with a new release making even better use of total cluster resources to provide IO performance acceleration to “any VM, on any host, with any shared storage”.

…(read the full post)