Scalability is one of those words that can mean very different things to different people, even in the same context or the same project. It’s not so much nuanced as it is that the definition matters on perspective — scale can be different for different goals.
There will be upcoming posts on data virtualization, in-memory data grids, integration methods — all areas where an understanding of your current and future needs, resourcing, and loads are critical for planning. Going into those concepts, it helps to understand scale — not just “make it bigger,” but how you make it bigger and when and why.
Continue reading “Intro to Scalability”