Why Percentiles Matter More Than Average Response Time in System Design
When measuring API or distributed system performance, relying solely on average response times can obscure how slow the system is for a significant portion of users. Percentiles such as P50, P95, P99, and P99.9 provide a clearer picture by showing the response time thresholds experienced by different proportions of users. For instance, a P99 of 3 seconds means 1% of requests exceed that time — which can translate to 10,000 affected users out of one million requests. These slower requests, known as tail latency, are especially critical in high-traffic systems like e-commerce platforms where even a small percentage of delays impacts real users. Percentiles also underpin Service Level Objectives and Service Level Agreements, making them a key tool for setting and enforcing performance standards.
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