Imagine discovering that for the last 12 months none of your company data had been backed up at your designated co-lo.
Worse, you only found this out because your corporate site has suffered a catastrophic failure. All your data has been lost — and you have no way to retrieve it.
You’re outraged, of course, and you want answers. How could your co-lo provider fail to back up your data? What about your provider’s vaunted disaster recovery service? Who is responsible for allowing this to happen?
Information technology has become a business essential. We’ve reached the point where our ability to thrive and succeed depends on key software apps and the technology (wherever it may be) that runs them, our access-from-anywhere to the Internet, and our ability to gather and analyze troves of digitized data.
The easiest targets
So important are these capabilities that we often put them into use before we’ve figured out the myriad of ways they’re vulnerable to those with malicious intent. And while smaller enterprises used to be able to escape the worst of these vulnerabilities simply by slipping beneath cybercriminals’ radar, those days are gone.
In my last post, I discussed how IT operations analytics can transform the masses of IT performance data into insight that provides broad, cross-tier network and infrastructure visibility so that …
Issues may be proactively recognized and resolved before they affect your business
Future capacity and provisioning requirements may be anticipated
A performance baseline built from multiple metrics can be established, reducing the time, money, and headaches associated with planning and deploying new projects, such as cloud deployments or virtualization.
But how should you go about choosing an IT operations analytics solutions? This is worth paying attention to, since such solutions are new, called by a number of different names (though likely not for long) and are available both as appliances and cloud-based services.
No doubt you’ve heard about “big data.” It sounds intimidating, invasive, and, well, way too big. But don’t be fooled — “big data” is going to save your IT infrastructure.
The first thing you need to understand about how this is happening (oh yes, it’s already well underway) is that “big data” is something of a misnomer. What we’re really talking about is analytics — automated mathematical tools that work in real time to sift through untold amounts of regular old data, in this case IT performance data, and produce actionable results that go far beyond legacy monitoring capabilities.
Not so long ago, the best way to assure your organization would survive a major disruption involved building — and continuously paying for — a dedicated recovery site. Like so many early-generation IT solutions, this one was unaffordable for most smaller businesses.
Happily, the very technologies that generate disruption-causing complexity (see my last post) also provide the kinds of cost-effective capabilities, such as real-time replication and managed disaster recovery services, that today’s heavily mission- and business-critical IT environments require.
“If you don’t understand the risks, you don’t understand the costs,” security guru Bruce Schneier advised during a TED talk.
He was discussing security in the abstract — but it got me thinking about IT security in particular and the difficulty many executives face trying to determine if their organizations are safe from cyberattack.
The problem is that these conversations nearly always turn technical. Soon, a flurry of technology acronyms — confounding but apparently reassuring — begin flying around the room.
And, reports Schneier, it works. People, he says, will “respond to the feeling of security and not the reality.”
So what can a CEO do to understand the reality of security risk and grasp what the actual cost of security failure might do to the organization?
