Operational Simplicity

Operational Simplicity

Automated day‑2 operations:

 Lifecycle management, upgrades, and health checks reduce toil and keep clusters current without downtime.

Self‑service for teams:

 Provide safe, governed environments where data scientists and app teams can ship use cases faster.

Clear runbooks and guardrails:

 Standardize workflows for data ingestion, RAG retrievals, evaluations, and rollback procedures.

Cost and capacity visibility:

 Observe token throughput, queue times, and resource utilization to plan ahead and prevent bottlenecks.