The Microservices Load Shedding pattern ensures a system gracefully handles overload situations by rejecting or shedding excess requests once it hits a predefined capacity limit. By proactively managing incoming load, the system preserves resources for critical requests and avoids a complete meltdown under high or unexpected traffic spikes.
Key Elements
Dynamic Throttling or Request Limiting: Automatically rejecting new requests when system capacity is reached.
Fail-Fast Mechanisms: Quickly responding with error codes or fallback responses, rather than letting requests queue indefinitely.
Monitoring & Capacity Management: Observing real-time traffic and system metrics to adjust thresholds.
Description
The Microservices Load Shedding pattern ensures a system gracefully handles overload situations by rejecting or shedding excess requests once it hits a predefined capacity limit. By proactively managing incoming load, the system preserves resources for critical requests and avoids a complete meltdown under high or unexpected traffic spikes.
Key Elements
References
Acceptance Criteria
microservices-load-shedding
(or similar)..md
file) explaining the pattern, its benefits, and sample code.