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Components fail. Face that fact, plan for it, and be sure that you know the different failure modes of all of your components, from disks to systems to applications. MTBF only applies if your system is renewable. If a failure changes the probability of future problems, your availability planning isn t based on valid data. Failure modes change and get more complex over time. Each new network-based attack or discovered security flaw becomes another possible failure that you need to consider when predicting the availability of your entire system.
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The Value of Availability
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Price is what you pay, value is what you get. Warren Buffett
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Fundamentally, high availability is a business decision. Computers cost money to operate. They cost additional money should they fail to operate when they are expected to. But the fundamental reason enterprises invest in computers (or anything else, for that matter) is to make them money. Computers enable an organization to perform tasks it could not perform without the computer. Computers can do things that people cannot; they do things faster and more cheaply and more accurately than people can. (Not everything, but many things.) When a computer is not performing the function for which it was purchased, it is not making its owners money; it is, instead, costing them money. Since downtime can, unchecked, go on forever, there is ostensibly no limit to the costs that a down computer might generate.
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What Is High Availability
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There was a period of time when your authors debated taking the phrase high availability out of the title of this book. The argument for doing so was that the term had become so muddied by vendor marketing organizations it had lost all meaning. The argument against removing it was that there was no other term that so well summed up what we were trying accomplish with the book. In the end, we decided that if we took high availability out of the title,
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nobody would ever be able to find the book, and if we let it stay, we would have the opportunity to define it ourselves. So we left it in. Think of it as a marketing decision. If you ask around, you ll find that there really is no hard definition for high availability or a firm threshold that determines whether or not a particular system has achieved it. Vendors have molded the term to fit their needs. Just about every system and OS vendor with a marketing department claims to deliver high availability in one form or another. The truth is that despite claims of 7 24 whatever, or some number of nines, those claims mean remarkably little in practical day-to-day system availability. The Storage Network Industry Association (SNIA) has an excellent online technical dictionary (www.snia.org/dictionary), in which they define high availability as follows: The ability of a system to perform its function continuously (without interruption) for a significantly longer period of time than the reliabilities of its individual components would suggest. High availability is most often achieved through failure tolerance. High availability is not an easily quantifiable term. Both the bounds of a system that is called highly available and the degree to which its availability is extraordinary must be clearly understood on a case-by-case basis.1 It is a rare definition that admits its own vagueness. So, in the hunt for the true definition of high availability, we must take a different approach. Breaking the term into its components, we have High, adj. Greater than normal in degree or amount Availability, n. The quality of being at hand when needed2 Availability is pretty clearly defined, but it s high that is the problem. Is a 20-story building high In Manhattan, Kansas, it would be, but in Manhattan, New York, a 20-story building is lost in the crowd. It s very much a relative term. How high is up How up is high How available does something have to be for it to be highly available Greater than normal What is normal, and who defines it Again, not much help in these definitions. Developing a practical definition for high availability will require still another approach. Consider why someone implements a computer system. Someone spends money to purchase (or lease) a computer system. The goal, as it is with any business expenditure, is to get some sort of return, or value back, on that spending. Money that is spent with the intent of getting value back is an investment. The goal, then, is to achieve an appropriate return on the investment made to implement the computer system. The return on that investment need not be
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www.snia.org/education/dictionary/h www.dictionary.com/cgi-bin/dict.pl (citing WordNet 1.6, 1997 Princeton University)
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