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Around every corner, you can find people who will challenge your efforts to scale horizontally Beyond the cost and difficulty, there is a degree of resistance to products and services that seek to solve these problems The typical, and now clich d, advice tends to be that scalability is not your problem, and trying to solve scalability at the outset is a case of premature optimizationThis is followed by a discussion of how many daily page views a single high-performance database server can support Finally, it ends by noting that it is really just a problem for when you reach the scale of Google or Amazon The premise of the argument is actually solid, although not applicable to all situations The premise is that when you are building a site or service that nobody has heard of yet, you are more concerned about handling loads of people than about making the site remarkable It is good advice for these situations Moreover, it is especially timely considering that there is a small but religious segment of Internet commentators who eagerly chime, X doesn t scale, where X is any alternative to the solution the commenter uses Among programmers, there is a general preoccupation with performance optimization that seems somewhat out of balance The fact is that for many projects, scalability really is not your problem, but availability can be Distributing your data store across servers from the outset is not a premature optimization when you can quantify the cost of down time If a couple hours of downtime will have an impact on your business, then availability is something worth thinking about For the IT department delivering a mission-critical application, availability is important Even if only 20 users will use it during normal business hours, when it provides a competitive advantage, it is important to maintain availability through expected outages When you have a product launch, and your credibility is at stake as much as your revenue, you are not putting the cart before the horse when you protect yourself against hardware failures There are many situations where availability is an important system quality Look at how common it is for a multi-server web cluster to host one website Before you can add a second web server, you must first solve a small set of known problems User sessions have to be managed properly; load balancing has to be in place and routing around unresponsive servers However, web server clusters are useful for more than high-traffic load handlingThey are also beneficial because we know that hardware will fail, and we want to maintain service during the failureWe can add another web server because it is neither costly nor difficult, and it improves the availabilityWith the advent of systems designed to provide higher database availability that are not costly nor hard, availability becomes worth pursuing for less-critical projects.

Clarity of abstraction Is the parallel algorithm clearly apparent from the source code In a well structured program, the algorithm leaps from the page The reader can see the details of the algorithm with little mental effort We refer to this quality as clarity of abstraction Good clarity of abstraction is always important for writing correct code, but is particularly essential for parallel programs: Parallel programmers must deal with multiple simultaneous tasks that interact in subtle ways Getting this right can be very difficult, especially if it is hard to figure out what the algorithm is doing by looking at the source code

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However, speed and consistency are easier to measure than availabilityWith a service like SimpleDB, it is hard to know from the outside what will happen during various failure scenariosThere may be internal failures that occur that we do not even know about Those hidden failures, handled swiftly or automatically, are a credit to AWS, but can make it difficult for users to understand the difference between a system that hasn t had a failure yet and one that handles failures gracefully Consider the July 2009 Google AppEngine outage that lasted for six hours Google AppEngine provides a data store that has some similarities to SimpleDB in that it is entirely hosted and managed by Google in its data centers, as SimpleDB is hosted and managed by AWS in Amazon data centers One week after the outage, Chris Beckmann (Google AppEngine PM) provided a very detailed explanation for the outage, including a timeline of events throughout the failure One sentence highlights the difference between the AppEngine data store and SimpleDB, as follows:

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