In Isaac Asimov's "Foundation" novel, the character Salvor Hardin utters the phrase "It's a poor atom blaster that doesn't point both ways.". The same can be said of "scaling" the process of adjusting an application or system to handle a different workload.
Most people think of scaling in the upward direction. Having built a prototype or proof-of-concept system, they ask themselves "will this design 'scale'?", meaning "will this design hold up under a large workload?". Frequently the system under discussion is a database, but it can be a social network or just about anything.
Yet scaling works in two directions. One can create a system that works well for a single user but fails with many users, and one can create a system that works for many users but fails for a small number. And the system does not have to be a database or even a system at all.
One example is Microsoft's products for version control. Let's consider the Visual SourceSafe and Team Foundation Server products. The former is (was, as it is no longer sold) usable by small teams, perhaps up to twenty people. Beyond that, it is hard to manage user rights and the underlying database. The latter (Team Foundation Server) on the other hand is built for large teams -- but is unsuitable for a small team of less than five. TFS has a fairly heavy administration cost, and it sucks up time and energy. A large team can afford to dedicate a person or two to the administration; a small team cannot.
Languages are also affected by scaling. Microsoft's Visual Basic languages (prior to VB.NET) were very good for small Windows applications. Simple applications could be made quite easily, but complex applications were harder. Visual Basic had some object-oriented constructs, but it was mostly procedural and one needed a lot of discipline to create a middling-complex application. Also, Visual Basic had some behaviors that limited the complexity of applications, such as its inability to display modal dialogs within modal dialogs.
Microsoft's Visual C++, in contrast to Visual Basic, was better suited for complex applications. It had full object-oriented constructs. It allowed any number of dialogs (modal or non-modal). But it had a high start-up cost. A single person could use it, but it was better for teams.
Scaling down is important for languages. Developers need tools to perform all sorts of tasks, and some applications are sensible for single users. Microsoft's tools are designed for large problems with large solutions implemented by large teams. Java is in a better situation, with language hacks like Scala and Groovy.
The current crop of scripting languages (Perl, Python, and Ruby) scale well, allowing single developers, small teams, and large teams. (Perl perhaps not quite so easily with large teams.)
With the rise of smartphones, apps have to move to smaller screens and virtual keyboards. (And virtual keyboards make a difference -- one does not type a term paper on a cell phone.) The assumptions of large screen and full keyboards do not apply in the cell phone arena.
Scaling down is just as important as scaling up. Scaling applies to users, data, and developers. Not every application, system, and development effort must scale from smartphone to cloud, but the system designers should look both ways before choosing their strategies.
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