Scaling Microservices with KEDA: Auto-Scaling Based on Queue Messages

In this video, we demonstrate how to efficiently scale your microservices using KEDA (Kubernetes Event-Driven Auto-Scaler) by dynamically adjusting the number of pods based on the number of messages in the queue.

We start with an empty Kubernetes cluster and use the publisher.py script to publish 10 messages to RabbitMQ. Watch as KEDA responds by creating and managing pods to process these messages in real time, all within 15 seconds. We explore the power of KEDA, which supports over 64 different types of scalers for diverse use cases.

Don't miss out on a detailed tutorial on KEDA, so make sure to subscribe and hit the like button if you find KEDA helpful for your microservices architecture.

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