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Day-17- Kubernetes Autoscaling — HPA, VPA, and KEDA

 Day-17- Kubernetes Autoscaling — HPA, VPA, and KEDA


Day-17
 Today I explored Kubernetes Autoscaling — HPA, VPA, and KEDA.

Key Takeaways:
 1️⃣ Horizontal Pod Autoscaler (HPA) : scales the number of pod replicas automatically based on CPU or memory usage. Perfect for handling variable traffic without manual intervention.
 2️⃣ Vertical Pod Autoscaler (VPA) : adjusts resources (CPU & memory) of existing pods. Useful for workloads that can tolerate pod restarts and require dynamic resizing.
 3️⃣ KEDA (Kubernetes Event-Driven Autoscaler) : scales pods based on external event sources like message queues, databases, or custom metrics. It can even scale down to 0 when idle, saving resources.
 4️⃣ Hands-on Experiments:
 ✅ HPA increases pods as CPU spikes.
 ⚠️ VPA resizes pod resources automatically.
 🚀 KEDA reacts to queue length or custom metrics, enabling event-driven scaling.
 5️⃣ Autoscaling ensures efficient resource utilization, improves resilience, and reduces manual intervention in production environments.




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