Adobe Experience Platform

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

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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.

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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.

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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.

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Heatmap — when does risk occur?

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Safe <50%50–75%75–90%90–100%Breach

By Day — peak RPS per day

Hourly — RPS profile for a selected day

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