The overall trend for cloud computing has been widespread adoption, although the rate varies. As more companies, small and large, look towards moving their IT infrastructure into the cloud, they have to overcome a number of challenges in the actual migration, securing the environment, and training their employees.
Previously, security was seen as the biggest obstacle to cloud adoption, but the recent surveys show that lack of resources/expertise is now the number one cloud challenge (Rightscale 2016).
Green House Data wanted to see how IT professionals perceive their own team’s expertise and abilities in light of these trends. We surveyed 944 IT professionals, with 64% at the executive level, to discover what the biggest challenges are in their daily work.
If you work in IT, the idea of a data breach is probably a lot spookier than some ghost invading the data center. October is Cybersecurity Month in the United States, and organizations like the FBI, the National Cyber Security Alliance, Sophos, and others are promoting secure digital practices for home users and businesses. It’s the perfect time to reevaluate your approach to cybersecurity and make sure you’re cultivating a culture of cybersecurity.
With ransomware continuing to spread at an ever more rapid clip and the cost of IT system downtime hitting over $1 million for the average enterprise, you can’t afford to lose productivity to viruses, malware, or stolen intellectual property. Here are some quick tips to help foster secure digital practices in your workplace.
Cloud computing has largely hit the mainstream. Your mom knows about it (at least vaguely — she’s probably asking you to help her put her pictures in the cloud). But IT progress continues to march on, and a new model of information processing is beginning to take shape: fog computing.
So where does fog take over from cloud? When an army of connected devices require constant processing power and connectivity. The Internet of Things is coming fast. According to IDC, the IoT will expand by 2020 to include 4 billion people online, 25 million or more apps, 25 billion embedded and intelligent systems, and 50 trillion gigabytes of data.
Fog computing is a way to manage some of those bandwidth and processing power demands by splitting the duties between the local device and remote data centers. It should sound familiar if you know the hybrid cloud model, which balances onsite virtualization with hosted cloud from cloud providers.
Data centers never shut down, and the doors don’t ever really close. With 24/7 access for those with security clearance, plus round-the-clock monitoring by NOC staff and engineers, data centers don’t need a walkthrough to close up shop, unlike many other businesses.
That doesn’t mean that a similar process isn’t followed at the end of every shift or periodically throughout the day, however.
At Green House Data, the Global Support Center staff members are charged with walkthroughs to ensure proper operation of the data center from entrance to loading dock. Use this as a template for your own facility — or read it as assurance that we’re doing all we can to guarantee 100% uptime and a great customer experience.
Disaster recovery and DRaaS solutions are intended as a method to keep a constant, or near-constant copy of your IT infrastructure in the cloud, ready to turn on a moment’s notice in the case of downtime at your primary data center site. But DR tools can also be used for your initial cloud migration, providing an on-ramp to the cloud that is cost-effective and relatively fast. You also get the bonus of a ready-to-go DR plan, if you continue to maintain the DR environment after your production servers turn on.