At NovaTech, we manage over 10,000 Kubernetes clusters for our customers. Over the years, we've learned valuable lessons about what works and what doesn't when scaling K8s in production.
Lesson 1: Right-size Your Nodes
One of the most common mistakes is using nodes that are too small or too large. Right-sizing your nodes based on your workload patterns can reduce costs by 30-40%.
Lesson 2: Implement Proper Resource Limits
Always set resource requests and limits for your pods. Without them, a single misbehaving pod can take down your entire node.
Lesson 3: Use Horizontal Pod Autoscaler
HPA is your best friend for handling traffic spikes. Configure it based on both CPU and custom metrics for optimal results.
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