Virtual Reality Check: The Need For Holistic Monitoring

Last week I had the pleasure of talking to a large group of I&O pros about monitoring their growing virtual environments. It was a lively webinar conversation sponsored by Splunk and you can check it out here. We talked about how traditional monitoring approaches can fail in large-scale virtual environments because of the number of metrics to monitor, uncertainty about what metrics matter the most, and lack of expertise in setting reasonable thresholds for alerts and alarms. I discussed how this can lead to a “virtualization big data” problem and gave pointers on leveraging analytics to help tackle it.

My approach was inspired by a recent report published by my colleagues Glenn O’Donnell and JP Garbani, “Turn Big Data Inward With IT Analytics.” Their insightful overview of the IT analytics market shows how you should be putting the intelligence of analytics to work for you. If you’re struggling to monitor and manage your IT infrastructure complexity today, how will you handle tomorrow’s additional complexity? This report clearly makes the case for IT analytics as the way forward.

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2013 Server Virtualization Predictions: Driving Value Above And Beyond The Hypervisor

Now that we’ve been back from the holidays for a month, I’d like to round out the 2013 predictions season with a look at the year ahead in server virtualization. If you’re like me (or this New York Times columnist), you’ll agree that a little procrastination can sometimes be a good thing to help collect and organize your plans for the year ahead. (Did you buy that rationalization?)

We’re now more than a decade into the era of widespread x86 server virtualization. Hypervisors are certainly a mature (if not peaceful) technology category, and the consolidation benefits of virtualization are now uncontestable. 77% of you will be using virtualization by the end of this year, and you’re running as many as 6 out of 10 workloads in virtual machines. With such strong penetration, what’s left? In our view: plenty. It’s time to ask your virtual infrastructure, “What have you done for me lately?”

With that question in mind, I asked my colleagues on the I&O team to help me predict what the year ahead will hold. Here are the trends in 2013 you should track closely:

  1. Consolidation savings won’t be enough to justify further virtualization. For most I&O pros, the easy workloads are already virtualized. Looking ahead at 2013, what’s left are the complex business-critical applications the business can’t run without (high-performance databases, ERP, and collaboration top the list). You won’t virtualize these to save on hardware; you’ll do it to make them mobile, so they can be moved, protected, and duplicated easily. You’ll have to explain how virtualizing these apps will make them faster, safer, and more reliable—then prove it.
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Are you thinking like a business pro? In the cloud era, you should be.

It's not controversial that business success today depends more than ever on IT performance. Business processes and IT operations are highly interdependent and tightly linked. Alignment between the two is no longer an option—it’s a requirement to stay competitive. Your business customers won’t succeed in today’s dynamic economy without IT behind them, but business customers care about outcomes, not technologies. The more you can think like they do, the better your relationship will be, the better your outcomes will be, and frankly, the better your future job prospects will be.

Forrester calls the evolution of IT from a provider of technologies to a broker of business services the “IT to BT (business technology) transformation.” Key to this shift is rethinking IT’s role in the enterprise and, in particular, rethinking current IT processes and the tools used to support them. Many IT organizations have improved workload, application release, run-book, data transfer, and virtual machine management processes, to name a few, through automation—yet still fail to deliver the agility and responsiveness their business customers demand.

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