A few principles:
- Test early, test often.
- Successful systems get more traffic
- Reliability is usually important
- Caching is often a key to performance
To elaborate. Build a simple system right now. Even if the business logic is very simplified, if it's a web service and database access you can performance test it. Test with one user. What do you see? Where does the time go? As you develop the system adding in real code keep doing that test. Reasons: a). right now you know if 25ms is even achievable. b). You spot any code changes that hurt performance immediately. Now test with lots of user, what degradation patterns do you hit? This starts to give you and indication of your paltforms capabilities.
I suspect that the outcome will be that a single machine won't cut it for you. And even if it will, if you're successful you get more traffic. So plan to use more than one server.
And anyway for reliability reasons you need more than one server. And all sorts of interesting implementation details fall out when you can't assume a single server - eg. you don't have Singletons any more ;-)
Most times we get good performance using a cache. Will many users ask for the same data? Can you cache it? Are there updates to consider? in which case do you need a distributed cache system with clustered invalidation? That multi-server case emerging again.