Every Kubernetes release brings the good, the bad, and the blind spots you only discover in production. The latest version (1.34) is no exception. From GPU scheduling to swap support, the latest features deliver real value but also introduce new complexities that platform engineers cannot afford to ignore.
The temptation is to turn these features on and move forward. But first, let’s unpack the new risks, observability gaps, and operational overhead they create, so you can adjust your playbooks before deploying them at scale.
