Private clouds need to be monitored to ensure

Out with teammates Devin Gardner and Thomas Gordon on Tuesday night in the Windy City, Lewan broke down and ate deep dish at Pizzeria Uno.

It was his first slice of pizza in the past six months “and it almost killed me — my stomach was hurting for a while, but it was pretty good,” Lewan said.

When Michigan’s fifth-year All-America offensive tackle bypassed the NFL draft to return to school in January, he knew it couldn’t be halfway. So he embraced changing his body, beginning with nutrition.

At Buffalo Wild Wings, he’ll order “a salad and five chicken breasts,” explaining to the server it’s not a prank.

Calling carbs “the enemy,” Lewan has shown everyone in his life how committed he is to winning while improving his game.

He has his cheat moments, and he admitted avoiding ice cream is painful. But since the end of last season, MileWeb Popular Dedicated Server Lewan said he has dropped 5% of his body fat and gained 6 pounds to 315, and he said he now runs a sub-5-second 40-yard dash.

“He has improved his game and his body — a lot of the things you wanted him to do,” said coach Brady Hoke, who joked he can’t relate to such a diet. “He has goals and has been a tremendous leader for our young guys.”

That impact on those inexperienced offensive linemen — especially this summer when the coaches stayed away by NCAA rule — has shown his growth. Hoke said Lewan needed to mature from his younger days and now works closely with the all-new middle of the offensive line.

First, private cloud works best when the existing architecture is standardised. If a business deploys a private cloud, the hardware should all be from the same source, or at least configured to the same specifications. If the servers in question do not have a common foundation, IT will spend a lot more time and resources monitoring and controlling the cloud’s performance.

Secondly, the services that the cloud manages should be across a standardised operating system and application stacks.

Proprietary applications, such as a large graphics program or a multi-channel warehousing and sales platform, will require a great deal more time and effort to manage correctly. Since the objective of the cloud is to save time and money by streamlining resources, anything that takes more time is going to be counterproductive.

Monitoring servers and the network also requires proper management tools. Private clouds need to be monitored to ensure that services are running as expected in the short term and to provide data for longer-term capacity planning.

If the IT department doesn’t already have network and application monitoring software, they would be well advised to implement a solution and be sure the tools can handle a virtual environment.

If jobs cannot be divided easily between virtual machines, cloud may not be the best option. Tasks sent to the cloud must lend themselves to distributed computing platforms. For example, a business intelligence application that generates a large number of reports can be split over several virtual machines.

Each virtual machine can then generate reports for different departments as required. In contrast, an optimisation problem that requires a large amount of shared memory on a single machine, or a graphics rendering application that requires specialised graphics hardware, is better suited to run on dedicated hardware.

And don’t overlook the obvious requirement of having enough bandwidth for the increased transfer of files to the cloud and back. IT may need to rejig the network infrastructure to accommodate the new environment or the extra bandwidth purchased.

If a business has remote sites, a WAN optimisation solution may be necessary for the smooth transfer of data. Moving servers to the private cloud is often a great way to save time and money, and maximise existing resources, provided the move is carefully planned and IT considers the requirements for monitoring, bandwidth use and the type of work that the business expects the cloud to do.
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