Kepler is a CNCF Sandbox project that monitors power usage and attributes it to Pods and other resources in Kubernetes clusters. Adoption is growing: it is used by leading Linux Foundation Project Sylva's telco carriers to optimize CNFs on bare metal, and by CERN to optimize the environmental impact of their MLOps against their sustainability KPIs. Yet while Kepler took a step forward in accuracy during the rewrite, we had to take a big step backward for the virtual machine use case, since we lost the trained model server (hint: we're solving this). What challenges and opportunities lie ahead for the project?