What backpressure is, why a slow downstream takes down a whole system without it, and how to apply it with bounded queues, rate limiting, and load shedding.
How to consume rate-limited APIs safely: read RateLimit headers, handle 429s with backoff, and monitor throttled dependencies before they break your app.
What a dead letter queue (DLQ) is, why messages end up there, and how to monitor, alert on, and reprocess them so failed events don't vanish silently.
How the circuit breaker pattern stops a failing dependency from cascading into a full outage: the closed, open, and half-open states, and what to monitor.
Why naive retries turn a blip into a retry storm, and how exponential backoff, jitter, and retry budgets stop a system from amplifying its own failures.
What graceful degradation means, how it differs from fault tolerance, patterns like fallbacks and circuit breakers, and how to monitor a degrading system.
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