Kubernetes Memory QoS: what AI inference teams should test
Memory QoS reaches beta in Kubernetes 1.37. For AI inference teams, the rollout question is how host-memory policy affects serving latency and neighboring workers.
Understand the technology before you put it into production.
Memory QoS reaches beta in Kubernetes 1.37. For AI inference teams, the rollout question is how host-memory policy affects serving latency and neighboring workers.
Check agent status, terminal persistence, and recovery before adopting Herdr.
Account for context limits, retries, latency, and the work behind a useful result.
When inference slows without obvious application errors, test physical constraints alongside queueing, workload changes, and software regressions.
Design incident channels, bot actions, evidence links, and a fallback path that still works when the chat system is unavailable.
Containers package processes; orchestration reconciles desired state. Reliability still depends on probes, capacity, dependencies, and application behavior.