Yes. In our case it's definitely worth it. Another interesting thing to consider is by moving from a kernel-level generic solution (Linux CFS) towards ML-driven systems that depend on the actual workloads we run on all of our clusters, it also implies different ways of debugging and iterating on software. We believe it's a net positive in our case.