load-shedding

To prevent system overload and congestion collapse, implement load shedding mechanisms to monitor resource utilization and enforce admission control limits. This detects load spikes and automatically rejects or delays requests before performance degrades.

Enforce admission control by utilizing priority queues to handle requests with varying importance differently, such as prioritizing health checks over background tasks. This ensures critical operations receive resources during system congestion.

Adaptive concurrency control manages fixed concurrency ceilings by continuously monitoring system load and dynamically applying shedding policies. It enforces strict limits on request admission once resource utilization thresholds are reached.

Yes, you can apply load shedding for tenant isolation in web services. The mechanism monitors system load and automatically rejects incoming requests when resource utilization hits defined thresholds, maintaining service availability.

You need to implement load shedding mechanisms when your system faces potential congestion collapse from load spikes. It is required for scenarios involving fixed concurrency ceilings, tenant isolation, and adaptive concurrency control to maintain availability.