Event website load test plan template: permission, traffic and stop rules

Start with one capacity question

Write the exact decision the exercise should support: for example, can the public event page and owned registration entry point remain usable during the expected on-sale pattern? State which environment and release are under test, what a representative visitor does and what is deliberately excluded. Browser-level checks reveal rendering and interaction symptoms; protocol traffic helps isolate application capacity. Neither substitutes for the other, and a small browser sample is not a full-scale traffic test. Grafana’s guide makes this distinction central.[1]

Approve hosts, data, timing and downstream boundaries

Download the original load-test authorization and stop plan (Markdown)

Name an application owner, infrastructure/CDN owner, tester, observer and person empowered to stop. Record exact hostnames, paths, approved time window and current provider policy. A public event page may link to an external ticketing or payment checkout; that link does not authorize traffic against the supplier. Exclude email/SMS sends, real card payments, account creation and other side effects unless the relevant owner has explicitly approved a controlled test with safe data. Check expected cloud costs, quotas and provider restrictions before scheduling. AWS guidance calls out cost and quota planning; provider policies differ and can change.[2][3]

Use a bounded traffic shape, not a headline concurrency number

Derive the test profile from your forecast and observed traffic: a baseline, gradual ramp, expected on-sale shape and recovery. Document the length and cap of each phase and what the observer must confirm before moving on. Use synthetic records if an approved registration path is included and distinguish test traffic from real guests in logs. Do not invent a “safe” requests-per-second figure from another site. Keep a way to stop manually, even if your tool also supports automatic thresholds.

Watch guest impact and stop on agreed signals

Choose event-specific stop conditions for guest-facing errors, failed registration steps, sustained latency, provider throttling, quota alerts, unexpected charges and a real customer incident. Put the responsible observer and communication channel beside each condition. Grafana k6 documents abort-on-failure thresholds, but implementation and evaluation timing depend on the test setup; a human stop path still matters. On a trigger, end traffic, notify the incident owner and preserve timestamps rather than immediately retrying harder.[4]

Compare evidence with the launch decision

Record actual traffic, request failures and latency by journey, plus backend, CDN and database symptoms. Note the gap between a synthetic script and an actual visitor using a browser or hosted checkout. Assign each fix an owner, due date and authorized retest; decide whether to proceed, change the launch plan or test again. A successful run at one profile is evidence for that profile, not a guarantee for every on-sale spike.