# On-sale hosting scenario and provider questions

Event and sale start (time zone): __________  Decision owner: __________
Landing URL: __________  Ticket/registration provider: __________

| Assumption | Low | Expected | High | Evidence / owner |
|---|---|---|---|---|
| Announcement reach | | | | |
| Fraction clicking in busiest minute | | | | |
| Event page requests per arrival | | | | |
| Registration and checkout starts | | | | |
| Time spent in dynamic flow | | | | |
| Retries after an error | | | | |

## Route and capacity map
| Layer | Cacheable? | Provider / owner | Confirmed limit and source | Behavior at limit | Contact / escalation |
|---|---|---|---|---|---|
| Public event page | | | | | |
| Images and static assets | | | | | |
| Registration form and APIs | No shared personalized cache | | | | |
| Inventory / availability | No shared personalized cache | | | | |
| Checkout and payment | No shared personalized cache | | | | |
| Confirmation and email | | | | | |

Provider questions: What is the measured bottleneck? Can capacity be prepared before the announced time? How quickly does scaling respond? Are CDN and origin quotas separate? Does a limit queue, throttle, fail or charge extra? What test permission and ceiling apply? Who is on call?

Rehearsal environment and authorization: __________
Observed error rate / slow route / origin metric at each step: __________
Cache exclusion review: __________  Ticket-provider sign-off: __________
Launch alert destination and decision owner: __________
Pause-promotion or waiting-page trigger and wording: __________
After-sale actual peak and first bottleneck: __________