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Description
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
- 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.
References
- Microservices.io – Load Shedding Pattern
- Release It! by Michael T. Nygard
- Java Design Patterns – Contribution Guidelines
Acceptance Criteria
- Create a new module or package named
microservices-load-shedding
(or similar). - Demonstrate how to detect and shed excess load (e.g., using a request queue with a maximum capacity).
- Provide logic for fast failure or fallback responses when capacity is exceeded.
- Include a README (or
.md
file) explaining the pattern, its benefits, and sample code. - Verify the implementation with tests simulating both normal load and overload scenarios.
- Ensure conformance with repository standards and that all CI checks pass.
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In Progress