But in the end, the pros significantly outweigh the cons. Our resource consumption is naturally extremely elastic. While we'll always need to slightly over-provision to maintain some headroom, adding/removing nodes throughout the variance saves quite a bit of $.
1. You can get started for dirt-cheap or in some cases, free
2. There's a common API for requesting new instances and performing maintenance tasks
3. There are extra services available to help build your apps such as SES, S3, and RDS to name but a few I found very helpful.
I'm not saying anything in this thread is wrong. But in software engineering, we say "write the code that only you can write", which is a suggestion (but not a rule) to use pre-built libraries instead of trying to make your own. Perhaps we should also say, "run the instances that only you can run".
Only true if you commit to vendor lock-in. If you use a higher-level cloud agnostic library, then it likely works with openstack as well so you can manage on-prem and off-prem instances the same.
One problem we HAVE seen is a reduction in maximum bandwidth. Since we're CPU limited, however, it hasn't really been an issue.
Even if you always have to scale up for 1-2 hours per day, using dedicated hardware that's idle the rest of the day is probably cheaper in most cases.