E-commerce flash sales, DDoS/spam prevention (where you're looking at the content, not just blocking traffic), data analytics. Not only for the e-commerce site but downstreams systems like payment processors.
There's also downstream infrastructure, too. If your website scales, you now have a bunch more log and metric data--what do you do with that?
A lot of times, data analytics "can be slow" but a human is sitting around waiting for processes to complete. A boost in speed usually means a boost in productivity.
There's also IoT. I think ~2012 GM was dumping terabytes of engine sensor data per airplane flight. Being able to process that quickly could mean the difference between being able to adjust engine fuel efficiency between flights, for instance.
I think telecom/voice/audio processing have pretty tight latencies. Even "second" latencies are probably too slow for those types of systems.
In addition, reducing scaling time potentially means reducing scaling cost since you're paying for compute you might not necessarily be using (depends on the billing model).
There's also downstream infrastructure, too. If your website scales, you now have a bunch more log and metric data--what do you do with that?
A lot of times, data analytics "can be slow" but a human is sitting around waiting for processes to complete. A boost in speed usually means a boost in productivity.
There's also IoT. I think ~2012 GM was dumping terabytes of engine sensor data per airplane flight. Being able to process that quickly could mean the difference between being able to adjust engine fuel efficiency between flights, for instance.
I think telecom/voice/audio processing have pretty tight latencies. Even "second" latencies are probably too slow for those types of systems.
In addition, reducing scaling time potentially means reducing scaling cost since you're paying for compute you might not necessarily be using (depends on the billing model).