Ah, the storage. I mentioned that as part of the server infrastructure, but in fact some kind of shared storage is the order of the day in most organisations to give best bang for the buck.Storage is an interesting paradox. If you go for on-board storage you will waste money whatever you do. Buy a server with modest capacity for disks and you will kick yourself when you run out and have to move to a bigger box (or do a bare-metal rebuild having swapped out all the small disks for bigger ones).Buy a server with spare disk slots that you don't fill and you will take up rack space that costs you money. Buy a server with plenty of disk slots and fill them with disks and you end up with puddles of unused storage all over your data centre.The alternative, though, is to use shared storage to minimise wastage. The problem is that this resource has to be fast enough to keep up with the servers that are sharing it. That means three locations for the potential bottleneck: the SAN, the storage chassis setup and the disks themselves.

Disk technology is progress is relentless, with new and faster stuff appearing every few months There is no reason why the SAN should be slow. 10GbE (or even bonded Gigabit links) should easily keep you going with the average storage array, and as we have said this type of networking is cheap. And if you like Fibre Channel, a 16Gbps implementation is not the cheapest but it works well and is fast.The disks are another thing. Disk technology is the most prominent area where progress is relentless, with new and faster stuff appearing every few months or at worst years. The price of the new stuff remains high for a long time before the technology becomes sufficiently commoditised.Think of how the cloud works: all the big providers let you choose solid state disk for a premium price or spinning disk for much less – you get to limit your systems' throughput in the interests of cost management.Everything else is pretty scalable without breaking the bank, partly because of modest unit costs and partly because in a pay-as-you-go model you can crank the processing and CPU power up and down and pay only for what you use.

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