"When we talk about API performance, it's tempting to think in neat technical terms - response times, CPU cycles, connection pools, and the occasional flame graph. But in real-world systems, especially global commerce and payments platforms, latency has a very human cost. A delay of just 50 or 100 milliseconds rarely registers in isolation, but at scale it can nudge a customer away from completing a purchase, disrupt a payment flow, or simply chip away at the trust users place in your product."
"Treat latency as a first-class product concern - designed with the same discipline as security and reliability. Use a latency budget to turn "sub-100ms" into enforceable constraints across every hop in the request path. Expect speed to regress unless you actively guard it as the system, traffic, and dependencies evolve. Keep performance ownership broad by baking it into reviews, dashboards, and release practices - not a single "performance team.""
Latency influences user perception and conversion far more than isolated measurements imply; small delays compound across millions of sessions into abandoned carts and reduced revenue. Latency budgets convert vague goals like "sub-100ms" into enforceable constraints across every hop in the request path. Performance will regress unless teams actively guard it as systems, traffic, and dependencies evolve. Broad ownership of performance should be embedded in reviews, dashboards, and release practices rather than siloed in a single team. Architecture should create fast paths while culture, measurement, and accountability keep those paths fast over time.
Read at InfoQ
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