Introduction to restricted cluster operations

The cluster is one layer of the boundary

Kubernetes and OpenShift provide orchestration capabilities, not automatic sovereignty. A restricted AI platform also depends on identity, admission, network, storage, secrets, registries, models, accelerators, operators, telemetry, backups, and administrative processes.

Operating principles

• Define authoritative internal dependencies before disconnection.
• Use least-privilege workload and administrative identities.
• Enforce workload admission, image identity, security context, and network paths.
• Treat accelerator drivers, operators, firmware, runtimes, and models as one compatibility lifecycle.
• Separate namespaces and tenants according to data and threat needs.
• Plan observable degradation, rollback, backup, rebuild, and restore.
• Record platform and workload change evidence.

Module outcome

You will produce a restricted-boundary and dependency map, workload security baseline, GPU/model/runtime operations plan, disconnected update process, and recovery evidence.

Concepts are portable; executable labs require a separately declared and tested Kubernetes or OpenShift adapter profile.