ऐसे टूल्स जो रियल-टाइम एप्लिकेशन परफॉरमेंस और कस्टम इंफ्रास्ट्रक्चर मेट्रिक्स के आधार पर पॉड रेप्लिका को डायनामिक रूप से एडजस्ट करते हैं।
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
KEDA is a full-featured event-driven autoscaler for Kubernetes that natively supports custom metrics from Prometheus, Kafka, RabbitMQ, and cloud services, works alongside HPA, and can scale based on thresholds with a pluggable scaler architecture—exactly what you need for arbitrary custom metrics autoscaling.