This guide shows how to configure Webman's rate‑limiter component—both the programmatic and annotation styles—to throw a custom TooManyRequestsHttpException, ensuring a unified JSON response with HTTP 429 status and a clear "maximum 5 messages per day" message for each phone number.
A developer investigates why an RPC service suddenly rejected many requests, discovers that a Guava RateLimiter with a limit of only ten calls per minute caused thread‑pool saturation, and explains the misinterpretations, monitoring data, and steps taken to pinpoint the root cause.
This guide explains how to install the Webman rate‑limiter plugin, configure its drivers (memory, APCu, Redis), and use annotation‑driven limits in PHP controllers, including custom keys, whitelist IPs, and manual limiter checks.
This article analyzes the challenges of building a flash‑sale system—such as overselling, massive concurrent requests, URL exposure, and database strain—and presents a comprehensive backend design that includes separate databases, dynamic URLs, Redis clustering, Nginx load balancing, rate‑limiting, asynchronous order processing, and service degradation strategies.
This guide introduces Resilience4j, a lightweight Java library for implementing fault‑tolerance patterns such as circuit breakers, rate limiters, bulkheads, retries, caches, and time limiters, and shows how to configure each module with Maven and example code.
