Agility, DevOps, scalability…they often sound like a lot of buzzwords. But you can transform your IT department into an IT as a Service broker within your own organization by adopting DevOps and cloud methodology. The end result is greater productivity, both for your users and your IT team.
If your cybersecurity efforts were the big boss in a video game, your users would be the flashing weak point for hackers to attack. So why aren’t IT departments spending more time and money on training?
Surveys from across the industry are discovering that while IT security spending continues to increase, even with budgets shrinking overall, the amount spent on policy, end user training, and staff certification is much lower than the amount spent on hardware and software for detection and mitigation.
This week we're taking you behind the scenes of your cloud environment and looking at vSphere virtual networking, including the difference between virtual switches/networks and their physical counterparts, plus the primary configuration options for vSwitches and vLANs.
There are plenty of ways to use cloud computing for your enterprise applications, but if you’re going beyond Software as a Service options, chances are high that you’ll want to test your cloud application before deploying it to a live user environment. Because cloud is such a malleable term, “cloud testing” can be confusing too. Let’s clear up what exactly needs to be considered when you launch a cloud testing initiative.
For the past decade, Power Usage Effectiveness has been the most common standard to measure data center energy efficiency. While PUE remains in the news with recent controversy over its inclusion in the latest ASHRAE standards, other energy efficiency metrics are starting to catch on – specifically server utilization.
We’ve covered PUE before on the blog, but basically it’s the ratio of overall power used to power used for strictly computing equipment. The closer to a 1.0 ratio, the more efficient the facility.
As the industry has matured, PUE has come under fire as being too simple, easy to manipulate, or failing to consider other environmental concerns. This led to the development of other data center energy efficiency and environmental impact measurements and benchmarks, for renewable use, reeuse of energy, and even water consumption.