Load Shedding Protects Services When Capacity Runs Out
Load Shedding Protects Services When Capacity Runs Out A service can receive more work than it can complete. The first visible symptom is often not an immediate error but a queue that grows while workers remain fully occupied. Requests spend longer waiting, deadlines expire, clients retry, and the extra retry traffic can deepen the overload. Load shedding places an explicit rejection point before that spiral consumes every available resource. The service admits work that fits its operating capacity and fails excess work quickly enough to preserve useful throughput for requests that can still complete.