July 2012

Disaster Recovery has been on many people’s minds of late, and the trade press is full of stories. American Express OpenForum has a piece rating the most dangerous cities in America in which to start a new business, based on the risk of a disaster.  I found the rankings surprising (New York City is 5th?), but worth a read.

Network World delivers on story on how DR plans are getting more urgent based on an increase in the rate of disasters. They provide this alarming quote:

“Last year was the worst year we’ve had in the history of disasters,” said Al Berman, executive director of the Disaster Recovery Institute, an industry group.

They also note how the widely reported shutdown of the Amazon cloud service put paid to the idea that cloud services were invulnerable (if anybody had that idea in the first place).

Computerworld gets more into the IT side of things with “4 tech trends in IT disaster recovery,” which discusses cloud, virtualization, mobile networking and social networks.  I didn’t see that last one coming either, but they make a good case for why social networking is something you need to consider in the context of your DR planning.

Disaster Recovery is a huge subject, especially if you broaden it by adding “Business Continuity” into the mix. Then you’re getting into just about everything: personnel, legal, facilities planning, and transportation, on and on, to say nothing of IT and effective product mixes.

My concern is the IT side of things, and even that is a huge subject for discussion and I wouldn’t attempt to scope it all out in one blog post.  Rather I’ll focus on one aspect today and then continue to delve into disaster recovery issues in the weeks ahead.

One area where there exists a significant disconnect is between backup and disaster recovery. Since those terms are flexible, let’s define backup as “making copies of data locally” and disaster recovery as “creating copies of data at an alternate location.”  Very often these two processes are separate, using different technologies and products. The most classic formulation is making tapes locally and then trucking them off to an off-site location. The down-sides of this are well understood, and the only real upside is that you are using the same backup software product at all steps of the way.

Because tape is cumbersome, more and more users have moved to some form of electronic data transport, a.k.a. data replication over IP networks. It’s safer (no lost tapes), it’s efficient (no manual shipping), it’s faster. But it’s also often handled separately from your backup process. I could write a half-dozen blog posts on the different replication models, but the point is that if you have one process for backup and something completely different for DR, then you’re not maximizing efficiency in terms of time or money. And if you’re doing array-based replication in a multi-vendor disk environment, you’ll find yourself managing multiple separate replication processes and completely different recovery workflows. It’s a mess!

That’s why with NetApp Syncsort Integrated Backup (NSB) we’ve done some very effective things to make sure DR is a seamless part of the backup environment. 

First, we consolidate backups from any primary storage environment onto NetApp disk. Replication is handled by NetApp SnapMirror.   This centralizes all your replication onto a single platform no matter what mix of primary storage you have (it even includes data from internal boot disks).  Management is simplified and you can reduce costs by eliminating primary storage replication licenses.

Second, there is no additional impact from replication. NSB uses standard backup data on secondary disk as the source data for replication. No additional backup passes, no impact on your applications or primary storage at all. This is far more efficient than doing replication off your primary arrays, for example, or from your ESX servers. Why would you want to impact your production workloads with replication overhead when you don’t have to?  

Finally, all DR recovery processes are run from the same NSB console as your regular backups, and the recovery workflows are the same. If you know how to restore locally, you know how to restore at the DR site.  This reduces learning curves and management overhead.

Of course there are a lot more details I could get into but this gives you the idea of how NSB can really drive down the cost and complexity of disaster recovery. And it is easier than you’d ever think to test your disaster recovery. I wrote about DR testing here and will be talking more about this in the future.

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Video segment two from Mitch Seigle’s time on “The Cube” at the Hadoop Summit 2012  focuses on the hot topic of Big Data skills.  Organizations are grappling with finding and retaining the right skill sets to not only handle long-existing and complex data management technology such as SQL, but also emerging Big Data technology such as Hadoop. Mitch speaks to the fact that technology exists today that can address both of these important areas.  

Syncsort DMExpress provides an environment in which people can become productive at programming to the higher-level tasks that they want to achieve in a matter of only days. As it relates to Hadoop, this means that users don’t need to learn how to write MapReduce and maintain Java and Pig scripts. Instead, they can leverage existing ETL/data integration skills and focus on driving value from the data.


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Survey Says…!

July 19, 2012

The smart folks over at Wikibon recently published the results of a survey they conducted covering a wide range of topics, including Cloud, Big Data and IT transformation.  It is interesting reading and worth a visit.

I’m going to cherry-pick one point from the survey that relates to my particular sandbox of data protection. Wikibon asked about “Biggest IT Challenges” for 2012. The Top Three:

#1 – Data Growth
#2 – Budget constraints
#3 – Data protection / disaster recovery

As I read that, I was thinking of making a point about how those all intersect, but analyst Dave Vellante is a sharp observer and he beat me to it. Vellante writes:

Data growth, data protection issues and budget constraints go hand-in-hand. Organizations have been struggling to keep pace with data growth and turning to storage optimization technologies, especially in backup and recovery use cases. Technologies such as data de-duplication, have possibly allowed customers to keep pace but have clearly not solved the data growth problem.

That’s a lot of keen observations in a small amount of space. Data growth clearly is the dog wagging the two tails of budgets and data protection. It impacts everything!  I video blogged recently about my thoughts on backup and big data as well as some thoughts on disaster recovery, but I didn’t connect the dots the way Vellante does here or link them to budgets. But they all intersect like a Venn diagram. Speaking of which, I thought it might look like this:

Data protection is overwhelmed by data growth, which leads to missed backup windows. Data protection is impacted by budget constraints which keep IT departments stuck with old technology that can’t meet the pressures of data growth. Budget constraints limit what IT departments can do about data growth, leading to missed opportunities because efforts go into bailing out the boat to keep it afloat rather than rowing toward the goal.  And all three come together in the perfect storm of corporate exposure, which means data is left unprotected, growth opportunities are missed and budgets may get cut further as a result.

All in all, not a pretty picture! So how to break the circles open?

You can’t stop data growth (though you can be more selective about what you keep). And budgets are influenced by many factors outside of IT department control. But you can think about re-inventing your data protection. Does that cost money? It certainly means a swap out of old technology and that means you’re paying for something new, but that can often save money if it gets control of data growth, protects critical information, reduces management overhead and lets you capture opportunities currently being missed because you’ve got people on your staff doing nothing but baby-sitting backups and disaster recovery all day.

Can you really save money and free up IT resources just by switching backup solutions? Well our customers do it. In fact, it’s pretty typical

If you’re feeling trapped in your Venn Diagram, why not drop us a line.  We’ll be happy to have one of our certified smart guys visit for a consultation on just how we can shatter those circles and make sure you successfully deal with the biggest IT challenges you’re currently facing.

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Syncsort has been around a long time, and the company has witnessed the evolution of business computing first-hand. Perhaps more than most, we understand the ‘Adapt or Die’ mantra made famous by author and technology consultant, Geoffrey Moore.  

In the following segment from his recent appearance on “The Cube” at Hadoop Summit 2012, Syncsort’s Mitch Seigle discusses this adapt or die concept not just at a business level, but in terms of how tried and true technology can be adapted to handle the Big Data challenges of today.  As Mitch puts it, the technology strategy to meet Big Data demand “should not be seen as a means to an end, but an opportunity to provide the insight that will drive people to actionable business results.”

This post is the first in a series highlighting Syncsort’s Big Data perspective shared on The Cube. Check back next week for another installment and feel free to leave a comment with your thoughts.


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