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Understanding Load Shedding
- Load shedding is a defensive strategy that selectively rejects non-essential requests to prevent system overload.
- It ensures essential services remain available during spikes in demand by preventing resource exhaustion and degraded performance.
- Load shedding works by prioritizing critical functionality, preventing total outages, and improving user experience.
- The shedding logic in code involves a middleware that monitors active requests and selectively rejects non-essential ones.
- Key decisions include the canShed flag to differentiate essential and non-essential services, and the use of atomic operations for thread safety.
- Essential services always respond, while non-essential ones are rejected when load exceeds a preset limit.
- A demo showcasing load shedding involves simulating traffic spikes and tracking active requests to demonstrate prioritization.
- Real-world applications include e-commerce platforms, cloud APIs, social media platforms, and financial systems, where load shedding is vital for maintaining critical functions.
- Advanced considerations for load shedding include dynamic adjustment of thresholds, retries for shed requests, and the use of circuit breakers for faster failure handling.
- Load shedding is crucial for handling traffic surges, prioritizing critical functions, and gracefully degrading non-essential features to ensure system resilience.
- The article provides a practical demo in Go and JavaScript to illustrate load shedding in action, offering insights into implementing this technique to keep services resilient under pressure.
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