Your Biggest Downtime Threat

Jul 20, 2015

Your Biggest Downtime Threat

BY Chris Brunau

BCDR

The importance of data backup & business continuity can’t be overstated, especially when one of the most common threats to downtime is all around you, moving through your offices and data centres at this very moment.

Behind network outages, human error is the second likeliest cause for downtime, according to research from the Aberdeen Group.

Being near that fault zone or flood zone may not be as risky as expected, the human zone knows no bounds when it comes to data.

Even with top-notch hardware and protection, you can still be vulnerable.

Server failures, storage failures, application errors, power outages, and usage spikes/surges round out the top seven.

When you take in the average cost of downtime is over £105,000 per hour, according to the Aberdeen Group, having a backup plan is more important than just a safety net. 

Aside from outages, errors, and failures, there’s the ever-looming threat of malicious attacks on your data. Whether it’s in the form of malware, phishing, or exploited applications, breaches are still a very real threat.

Paul McGlaughlin, the Director of IT Production Services at Sony, spoke with the Wall Street Journal on the issue of breaches and downtime. Sony was famously attacked in 2014, losing data and rendering the company extremely vulnerable.

If there’s anything to take away from what happened to Sony, it’s that your best option is to “regularly test disaster recovery and business continuity plans so that teams aren’t trying unfamiliar procedures in the middle of a crisis” according to McGlaughlin. 

However, we shouldn’t always be so quick to blame hackers. In the Holburn fire in April, poor infrastructure or outdated equipment was the real culprit.

Datto EMEA’s Managing Director, Andrew Stuart, commented, “When you have large infrastructures with old technology, and add people, issues always occur.”

Looking at these top causes, it’s not a question of if you will experience downtime, but instead for how long and how quickly you can be back to normal.

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