Autonomous Resource
ManagementKnowledge · Context · Evidence
Evidence directory

Start with the source.

Documentation supports descriptions of a system. Announcements establish what a publisher reports. Neither alone proves performance in your environment.

Source selection

These are cited sources, not endorsements or an exhaustive industry list. The initial library emphasizes infrastructure documentation. Broader research and independently evaluated case studies are an editorial priority.

  1. FinOps Foundation: FinOps Framework 2026Official publisher announcement; supports attributed changes, not independent outcome claims.

    Used in: FinOps Framework 2026 adds strategy alignment and broader technology guidance.

  2. Kubernetes DRA team: Kubernetes v1.36 DRA updatesOfficial publisher announcement; supports attributed changes, not independent outcome claims.

    Used in: Kubernetes 1.36 expands Dynamic Resource Allocation.

  3. Kubernetes project blog: Tracing Kueue admission with HeadlampProject-authored guide; supports the described troubleshooting distinction and plugin limitations.

    Used in: Headlamp guide separates Kueue admission from Pod scheduling.

  4. OpenTelemetry: SignalsTelemetry signals used to describe system activity.

    Used in: The ARM working framework; Observability for resource decisions.

  5. NIST: AI Risk Management FrameworkVoluntary AI risk management guidance.

    Used in: The ARM working framework; Human oversight and decision rights.

  6. Model Context Protocol: Architecture, 2025-06-18Host, client, and server responsibilities in this protocol revision.

    Used in: Agent orchestration and tool access.

  7. Kubernetes: AuditingAPI audit events, policy, and storage backends.

    Used in: Audit trails and decision provenance.

  8. Kubernetes: ControllersControl loops and desired state.

    Used in: What is autonomous resource management?; Autoscaling and feedback loops.

  9. FinOps Foundation: FrameworkCollaborative technology value and cost management.

    Used in: What is autonomous resource management?; FinOps and cost controls.

  10. Kubernetes: Autoscaling workloadsHorizontal, vertical, and infrastructure scaling.

    Used in: Autoscaling and feedback loops.

  11. Kubernetes: Resource quotasNamespace resource constraints and their scope.

    Used in: FinOps and cost controls; Resource scheduling and allocation.

  12. Kubernetes: SchedulerFiltering and scoring nodes for Pod placement.

    Used in: Resource scheduling and allocation.

Suggest additional evidence

We welcome relevant research, alternative approaches, and reproducible failure reports. Propose a source with the claim it supports or challenges.