from the failing-over-into-the-mist dept.
TristanBrotherton writes "Cloud computing seems to be a good choice for startups like ours, looking to scale easily with users. (We're providing a series of Web services, assets, and Web applications to users of our mobile client.) There are the obvious choices of Google, Amazon, and smaller shops like EngineYard. The biggest issue we have in choosing cloud computing to run our applications is trust in their robustness. If the provider goes down, we suffer. In traditional hosting environments we mitigate this with multiple sites / vendors. It's not really feasible to host on multiple compute services, so I wondered if a better option might be to set up a small (perhaps two servers) origin infrastructure in a traditional manner at a datacenter, running our applications, but then send excess load, or in the event of our origin servers failing, all load, to compute services. This would give us the best of both worlds. Has anyone done this, or had experience in designing Web applications to scale seamlessly across both environments? Is there particular load-balancing hardware we can use to do this?"
At the source of every error which is blamed on the computer you will find
at least two human errors, including the error of blaming it on the computer.