Peak Streaming Throughput Estimator
Guardrail:RPS soft limit
Peak RPS
1.6k
Mon 19:00
% of 1,500 RPS guardrail
103%
14 hour-slots exceed limit
Sources
Page views, product clicks, add-to-cart events from your online store. Evening peak (7–9 pm AEST) reflects post-work browsing; morning spike is commute traffic on mobile browsers. Adjust these to match your Google Analytics or Adobe Analytics peak session data.
In-app events from iOS/Android shoppers. Morning spike reflects push-notification opens during the commute. The evening window mirrors website browsing but skews later as customers switch to their phones after dinner. Saturday mornings are the strongest weekend window for Australian retail apps.
Key conversion transactions: checkout initiations, payment confirmations, order status updates, and loyalty point awards. Volume is typically 10–20% of peak browsing traffic (reflecting a ~2–5% conversion rate across multiple transaction events per order). The evening checkout peak closely tracks the browsing peak with a 15–30 min lag.
Heatmap — when does risk occur?
By Day — peak RPS per day
Hourly — RPS profile for a selected day