1 مستودع
Autoscaling mechanisms that adjust workload replicas based on the volume of incoming HTTP traffic.
Distinct from HTTP Traffic Handling: Existing candidates focus on traffic handling, inspection, or logging, not the use of traffic as an autoscaling signal.
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KEDA is a Kubernetes event-driven autoscaler and cloud event scaling engine. It functions as a custom metrics provider that monitors external event sources—including message brokers, databases, and cloud metrics—to dynamically adjust the replica counts of containerized workloads. The project is distinguished by its scale-to-zero workflow, which reduces workloads to zero replicas during inactivity and automatically restarts them when new events are detected. It operates as a multi-cloud event trigger system, using a pluggable scaler interface to integrate with a wide array of third-party servi
Adjusts the number of active pods dynamically based on the volume of observed incoming HTTP requests.