Hi everyone. I am Bharat, founder of Springbase.ai. We specialize in AI infrastructure automation. I have been thinking about how infrastructure automation and observability need to work together as AI systems grow more complex. When you are troubleshooting production issues, do you find the root cause is usually in the model code, the infrastructure layer, or the interaction between them? I would love to hear your experiences on where automation can help reduce production incidents.