No liquids is a rule for data centers in many areas. And, what few are aware of how many times beer is in the data center.
KomoNews reports on construction workers caught drinking beer during the job.
Hidden camera investigation catches 520 bridge workers drinking on the job
By KOMO News StaffPublished: May 22, 2012 at 2:04 PM PDTLast Updated: May 22, 2012 at 3:17 PM PDT
SEATTLE -- A KOMO 4 Problem Solver investigation has discovered workers on the largest construction project in the state drinking on the job.
Worker after worker after worker can be seen on camera at the project headquarters for the 520 bridge replacement project with a beer in hand drinking in the middle of the afternoon.
Part of KomoNews shows is the fridge where the beer is.
Don't look for the beer in the fridge in the data center. The Beer is in the raised floor.
As temperatures are raised in data centers we may see less beer under the floor, but given the number of data centers users that still want 68 degree inlet temperatures there will be many data centers that are good chillers.
Jon Koomey write a great post making the observation that Coal's use is decreasing not due to EPA regulations, but due to economics.
I want to focus on #4 (and on a terrific paper by Susan Tierney on that topic), because it gives interesting insight into the factors that cause utilities to retire power plants.
About 15% of existing US coal plants (about 50 GW out of 300 GW total) are old, inefficient, polluting plants that were grandfathered under the Clean Air Act, so they have few or no pollution controls.[1] More than half of US coal plants are 35 years of age or older.[2] The total social cost of running many of these plants is higher than the cost of alternative ways of supplying that electricity (even without counting the damages from greenhouse gas emissions),[3] so they represent an obsolete capital stock from society’s perspective.
These older plants are comparatively inefficient, even though they have few or no pollution controls, so it’s not surprising that they are the ones being retired in the face of the economic forces outlined by Tierney. That report points to increasing coal prices, decreasing natural gas prices, and declining electricity demand as the main factors thus far in encouraging the retirement of existing coal plants.
The coal economics is an issue in Australia as well reports the WSJ.
Companies are shutting Australian coal mines and questioning whether they should continue with billions of dollars of investments—squeezed between falling prices and rising costs.
Australian coal has been the country's most valuable export for decades. But rising wages and the strong Australian dollar have helped make coal twice as expensive to produce as it was in 2006, according to consulting firm Wood Mackenzie. Higher taxes soon will add to that burden.
The use of coal is declining due to its cost. And the environment benefits.
Part of what is increasing the cost of coal is labor and taxes.
Emboldened by a shortage of skilled workers, Australian miners have fought successfully for better work conditions and higher wages, driving up labor costs. Exports from BHP Billiton's coal mines in Queensland have been disrupted by rolling strikes. Australia's government estimates that the country's miners earned A$2,207 (US$2,172) a week on average last year. That compares with 1,737 Canadian dollars (US$1,699) for Canadian resource workers, according to an official estimate in that country.
And Australian costs will rise further starting in July, when taxes aimed at cutting pollution and bolstering government coffers go into effect. Canberra's latest budget forecast that revenue from resources will jump to A$7.2 billion in fiscal 2013 from A$1.5 billion this year. Income from the new Mineral Resources Rent Tax was projected to bring in another A$3 billion in fiscal 2014.
Almost everyone in the data center build says they build modular/container data centers. Uptime says there are 45 suppliers. Gartner and IDC tell its subscribers that modular should be one of the options they evaluate. There are no shortage of people who say they can build you a modular data center.
How do you make sense of the marketing hype vs. reality.?
My tip is to get nerdy on the topic of modularity. The modular approach is a way to address the supply chain.
HP and Dell being experienced OEM Server vendors know supply chain. Frank Frankovsky at Facebook is ex-Dell and he has taken the Supply Chain ideas into Facebook and passed them on to the Open Compute Project.
Open Compute Shakes Up Server Supply Chain By: Rich Miller May 8th, 2012
Jason Waxman of Intel (left) moderated a panel of suppliers who are meeting the Open Compute Project standards. Mike Yang of Quanta and Sohrab Modi of Huawei discussed meeting customers' needs while also addressing cap ex and op ex management.
SAN ANTONIO – There is meaningful change occurring in how servers are designed, built and sold. The disruptions in the server ecosystem were on display at last week’s Open Compute Summit in the rising profile of original design manufacturing (ODM) providers and other alternatives to working with original equipment manufacturers (OEMs) like Dell, HP and IBM that have dominated server sales in the U.S.
HP and Dell are both vendors involved in Open Compute.
In discussions with Compass Data Centers's Chris Crosby we have gone into extensive discussions on his supply chain. So, Compass Data Centers passes this test.
Many Big Brands have supply chain strategies. Facebook shared some its supply chain practices at the Open Compute Summit.
There are others who may embrace the supply chain approach, but I feel comfortable finding three I can have conversations with - HP, Dell, and Compass Data Centers.
Oh, one problem though if you are looking to use the supply chain test is if you are not experienced at supply chains yourself it can be hard for you to evaluate the suppliers.
When I was getting my degree in Industrial Engineering and Operations Research at UC Berkeley, I spent a lot of time studying queueing theory, probability and statistics, markov chains. I worked at HP in process engineering and distribution logistics. At Apple I was in distribution logistics and OEM program management for computer peripherals. So, all this supply chain in data centers is brushing up on things I did full time for years and years. So, yes i am biased. i think supply chain in a key to build modular data centers.
Or you believe in Cargo Cult Science and all data centers will be the same.
Who cares if they are all the same (which they are not ) if you can't build them with a great supply chain your product will have problems with the issues listed below cost, speed, quality, consistency, innovation, global availability.
The supply chain is what many of these below brands great.
Now you may assume you that the data center world is all built on science and facts. But, the Data Center World is no different than the rest of the world, and unfortunately those who benefit from managing your perception may have little interest in science.
Richard Feynman presented a talk on Cargo Cult Science.
I think the educational and psychological studies I mentioned are examples of what I would like to call cargo cult science. In the South Seas there is a cargo cult of people. During the war they saw airplanes land with lots of good materials, and they want the same thing to happen now. So they've arranged to imitate things like runways, to put fires along the sides of the runways, to make a wooden hut for a man to sit in, with two wooden pieces on his head like headphones and bars of bamboo sticking out like antennas--he's the controller--and they wait for the airplanes to land. They're doing everything right. The form is perfect. It looks exactly the way it looked before. But it doesn't work. No airplanes land. So I call these things cargo cult science, because they follow all the apparent precepts and forms of scientific investigation, but they're missing something essential, because the planes don't land.
If you want a way to detect the Cargo Cult Science in data centers, a pretty good indicator is whether you can find what Richard Feynman tell the graduates to do to not be Cargo Cult Scientists. How are they credible.
It's a kind of scientific integrity, a principle of scientific thought that corresponds to a kind of utter honesty--a kind of leaning over backwards. For example, if you're doing an experiment, you should report everything that you think might make it invalid--not only what you think is right about it: other causes that could possibly explain your results; and things you thought of that you've eliminated by some other experiment, and how they worked--to make sure the other fellow can tell they have been eliminated.
Details that could throw doubt on your interpretation must be
given, if you know them. You must do the best you can--if you know
anything at all wrong, or possibly wrong--to explain it. If you
make a theory, for example, and advertise it, or put it out, then
you must also put down all the facts that disagree with it, as well
as those that agree with it. There is also a more subtle problem.
When you have put a lot of ideas together to make an elaborate
theory, you want to make sure, when explaining what it fits, that
those things it fits are not just the things that gave you the idea
for the theory; but that the finished theory makes something else
come out right, in addition.
An example of the Cargo Cult Science is IO Data Centers Last Snowflake that 2013 will be the last non-standardized snowflake. There are many others, but this is one of the more timely ones that just got picked up.
Uptime: CEO of IO reaffirms prediction of the “snowflake’s” last day
Slessman sticks by prediction of end of non-standardized data centers
The world will not see a single non-standardized “snowflake” data center built after May 2013.
There may be people excited about this, but where is the data to support this claim?
When i looked at Slessman's transcript from 2011 where he made this claim. There is not a single mention of quality or errors in the talk. What data is shown that every IO data center is the same. Huh. IO data centers has redefined physics where there are no errors or quality issues with any of their build outs, so every data center is the same.
So, let's go with a brand that prides themselves on quality and german engineering - BMW.
BMW builds 450 cars a day in its South Carolina plant and I am going to point to a bunch of things that make me believe BMW more than IO Data Centers.
BMW has an analysis center to figure out what is wrong.
Analysis Center
At the Analysis Center, we ignore the BMW mystique, look past the dazzling lines and impeccable paint job. We strip down the BMW and take an honest look at our work. The naked truth in all its beauty is revealed.
The 60,000-square-foot Analysis Center is a fully functioning laboratory that allows us to examine and test every weld, every dimension, and every component on vehicles as they come off the production line. The Analysis Center covers three key areas of vehicle development: Functional Analysis, Manufacturing Analysis and Customer Feedback.
BMW has a 1MW data center to support its operations and analysis.
The BMW South Carolina factory is described in this National Geographic Video. What is not shown in this short video is the camera inspection equipment and many others to detect quality and errors in manufacturing.
The laws of physics are tough to beat and it is really hard to make hundreds of complex products be exactly the same. The products are not the same, they are all a bit different. The issue is whether the products perform within specifications and meet quality standards.
You can believe the Cargo Cult Science that 2013 will be the last snowflake and they will all be the same after that, but you may be like the villagers doing all the those things to bring the cargo planes back. Wearing wooden headhphones, bulding runways and putting wooden planes out.
Or you can go with the view that every data center is a bit different and I want an engineering science backed team who can adapt the manufacturing process to give a quality performing product.
Many of you play Golf. I don't. i decided playing golf gave people (including in-laws) the right to grab 4 hours of my time was not something I had interest in. Maybe if golf was 1 1/2 hrs I would play.
Watching Kevin Na play golf is painful, and few would follow his example. Although all players have been frustrated by a slow group in front of them. Almost all amateurs pick up some habit of the pros.
But the Tour's pace of play is a problem for the rest of golf, since the pros serve as amateurs' primary role model for how the game should be played. We buy the clubs, balls and golf fashions that we do largely based on the pros' example, and the same goes for how everyday players line up putts, take practice swings, throw grass in the air and dither around the course like they're being paid by the hour. Survey after survey show that slow play is a major factor in creating ex-golfers.
Now, as much as you may think this is wrong. Keep in mind who the tour serves. The players.
The reasons why the Tour is unlikely to change its current pace-of-play system anytime soon are many and interconnected, but here's a good one to start with: meaningfully speeding up play would, in effect, penalize the Tour's slowest members where it hurts them the most, in their wallets. And the Tour, lest we forget, exists primarily for the benefit of its members.
Think about it. Just because you are watching someone present at a data center conference should you follow their habits? Many data center conferences, the #1 customer is the vendor and their needs. A pro golf player's # 1 revenue is his sponsor money, not the winnings.
Consider Charles Barkley's controversial statement that he is not a role model. Who is your role model for data centers? The guys who have vendors sponsoring their performance should have you questioning whether it is best for you.
