API Gateway & Reverse Proxy (Nginx + Spring Cloud Gateway) · 课时

隔离舱与限流：提升恢复能力

使用隔离舱隔离和网关的 RequestRateLimiter 过滤器隔离故障并保护下游服务。

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隔离舱与限流：提升恢复能力 是 CoddyKit 上的免费 API Gateway & Reverse Proxy (Nginx + Spring Cloud Gateway) 课时。这是第 4 节课，共 4 节。你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。这是 API Gateway & Reverse Proxy (Nginx + Spring Cloud Gateway) 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 API Gateway & Reverse Proxy (Nginx + Spring Cloud Gateway) 课程共包含 4 节课。

本课时的部分内容尚未翻译，以英文显示。

Containing the Blast Radius

Circuit breakers stop calls to a broken service, but a flood of traffic to one route can still starve others. Bulkheads and rate limiting keep one busy route from sinking the whole gateway.

The Bulkhead Pattern

Named after a ship's watertight compartments, a bulkhead caps how many concurrent calls a route may have. If one service slows down, only its compartment fills, sparing the rest.

Resilience4j Bulkhead Config

Resilience4j offers a bulkhead that limits concurrent calls per instance.

resilience4j:
  bulkhead:
    instances:
      orders:
        maxConcurrentCalls: 20

Why Rate Limiting Differs

A bulkhead caps concurrency; a rate limiter caps requests over time. Together they protect both fast bursts and sustained load.

The RequestRateLimiter Filter

Spring Cloud Gateway ships a RequestRateLimiter filter backed by a Redis token bucket. It rejects excess requests with HTTP 429.

filters:
  - name: RequestRateLimiter
    args:
      redis-rate-limiter.replenishRate: 10
      redis-rate-limiter.burstCapacity: 20

Replenish Rate and Burst

replenishRate is the steady tokens per second; burstCapacity is the most that can be spent in a spike. Burst should be greater than or equal to replenish.

Choosing a KeyResolver

A KeyResolver decides what to limit by, such as user, API key, or IP. Here we limit per user from a header.

@Bean
KeyResolver userKeyResolver() {
    return exchange -> Mono.just(
        exchange.getRequest().getHeaders()
            .getFirst("X-User-Id"));
}

Redis Backing Store

The limiter needs Redis so counts are shared across gateway instances. Add the reactive Redis starter.

<dependency>
  <groupId>org.springframework.boot</groupId>
  <artifactId>spring-boot-starter-data-redis-reactive</artifactId>
</dependency>

Combining Patterns

Stack resilience filters on a route: circuit breaker first, then rate limiter, so traffic is shaped before reaching a possibly fragile backend.

filters:
  - name: CircuitBreaker
    args:
      name: ordersCB
      fallbackUri: forward:/fallback/orders
  - name: RequestRateLimiter
    args:
      redis-rate-limiter.replenishRate: 10
      redis-rate-limiter.burstCapacity: 20

Graceful Rejection

When the limit is exceeded the client gets 429. You can customize the status, but always return a clear, retryable response so clients can back off.

args:
  redis-rate-limiter.replenishRate: 5
  statusCode: TOO_MANY_REQUESTS

Observing the Limits

Watch metrics for 429 counts and bulkhead rejections. Tune the numbers based on real downstream capacity, not guesses.

Quick Check

What is the core difference between a bulkhead and a rate limiter?

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Recap

You added two more resilience tools:

Bulkheads cap concurrent calls per route
RequestRateLimiter uses a Redis token bucket
replenishRate and burstCapacity shape traffic
A KeyResolver defines the limiting key

Combined with circuit breakers, retries, and fallbacks, your gateway degrades gracefully under stress.

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常见问题解答

「隔离舱与限流：提升恢复能力」课时是免费的吗？

是的 — 「隔离舱与限流：提升恢复能力」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 API Gateway & Reverse Proxy (Nginx + Spring Cloud Gateway) 课程的其余内容，请升级到 CoddyKit PRO。 API Gateway & Reverse Proxy (Nginx + Spring Cloud Gateway) 课程共包含 4 节课。

「隔离舱与限流：提升恢复能力」这节课中我会学到什么？

使用隔离舱隔离和网关的 RequestRateLimiter 过滤器隔离故障并保护下游服务。你通过在浏览器中直接运行的动手代码来练习 API Gateway & Reverse Proxy (Nginx + Spring Cloud Gateway)，全天候 AI 导师会在你学习这节课的过程中回答你的问题。

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「隔离舱与限流：提升恢复能力」课时需要多长时间？

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。

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