☸️ Enterprise, Kubernetes & OpenShift AI

Premium platform, governance and cost-readiness lane.

:::info 16 idea hypotheses in this category Every page below is a concept to be validated, not a proven business. Metrics that have not been assessed are shown as Not assessed — never invented. :::

• AI application production-readiness gate — Check evaluation, authorization, sensitive logging, latency, cost, fallback and approvals before release.
• AI evaluation pipeline — Run datasets against model and prompt versions and compare thresholds before promotion.
• AI platform SLO and observability pack — Standardize latency, errors, saturation, model availability, cost and quality signals.
• AI production and cost readiness assessment — Review provider inventory, cost attribution, evaluation, logging, fallback, ownership and operations.
• AI usage chargeback extension — Retain usage, map costs to teams and combine tokens, APIs and GPU allocation.
• Enterprise AI application factory — Provide a reusable GitOps blueprint for authenticated, observable and evaluated AI applications.
• GPU inventory and utilization service — Track allocatable GPU, reservations, workload ownership and stranded capacity.
• Kubernetes-to-OpenShift assessment — Analyze manifests, security, storage, ingress, networking, policies and CI/CD assumptions.
• Model-serving capacity planner — Estimate memory, replicas, throughput, latency and hosted-versus-local economics.
• OpenShift AI governance starter — Implement approved models, subscriptions, API keys, quotas, authorization and developer onboarding using native capabilities.
• OpenShift AI readiness scanner — Assess cluster, GPU, storage, networking, identity, quotas, monitoring, model storage and workload isolation.
• OpenShift incident evidence collector — Create a normalized package from events, state, telemetry, GitOps changes, commits and runbooks.
• OpenShift resource economics assistant — Identify over-reservation, low utilization, missing limits and capacity candidates.
• OpenShift upgrade intelligence — Identify API removals, Operator compatibility, manifest risks, owners and remediation tasks.
• OpenShift virtualization readiness assistant — Assess VM workloads, networking, storage and migration constraints.
• Platform change-risk assistant — Analyze GitOps changes, policy conflicts, affected workloads, capacity and observability.