Ask HN: Workflow for Scientific Computing in the Cloud?

I have recently come into the situation where I need to run cloud computing on demand for my research. Amazon's EC2 Spot Instances are an ideal platform for this as I can requisition an appropriate instance for the given experiment {high cpu, high memory, GPU instance} depending on its needs. However I currently spin up the instance manually, set it up, run the experiment, and then terminate manually. This gets tedious monitoring experiments for completion, and I incur unnecessary costs if a job finishes while I'm sleeping for example. The whole thing really should be automated. I'm looking for a workflow somewhat similar to this:

Manually create amazon machine image (AMI) for experiment.

Manually issue command to start AMI on specified spot instance type.

Automatically connect EBS to instance for result storage.

Automatically run specified experiment, bonus if this can be parameterized.

Automatically terminate spot instance on job completion.

Something like docker that spun up on demand spot instances of a specified type for each run and terminated said instance at run completion would be absolutely perfect. I also know HTCondor can back onto EC2 spot instances but I haven't really been able to find any concise information on how to setup a personal cloud — I also think managing an HTCondor installation may negate the savings of all the automation. Do any other HN users have similar problems? How did you solve it? What is your workflow? Thanks!

NOTE: I posted this to Slashdot as well, but reposted here as I don't think it'll get much attention there.