Staged Rollout Policy

Data artifactInfrastructureInfrastructurearc:StagedRolloutPolicy

A declarative rollout specification of strategy (staged or rolling), stage percentage, validation period, rollout velocity and automatic-rollback threshold.

Responsibility. Parameterises how quickly and safely an update propagates.

Also known as: Rollout strategy, Update type strategy

Direct neighbourhood (hover for relationship types)

Relationships

configures structural

Design guidance

Critical security patches MAY use immediate deployment after staging smoke tests with rollback ready; feature updates SHOULD use staged canary rollout; dependency updates SHOULD be tested in isolation first (Ref8.08).
SHOULD schedule updates in low-traffic periods and avoid Friday/holiday deployments (Ref8.08).

Quantitative guidance

As stated by the sources; verify before use.

Pilot example: 20% of 25 pilot stores first, 60-minute validation (Ch4.6).
After full rollout, monitor for 2 hours (Ref8.09).

Classification

Technologies: NVIDIA Fleet Command

Sources

Ch4.6: T. Nguyen, "TensorRT-LLM and NVIDIA Fleet Command," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.6. ISBN: 9798244538229.
Ref8.08: "Model Updates and Maintenance Procedures," unpublished reference note (08-Model-Updates-Maintenance-Procedures.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
Ref8.09: "Chapter 8 Summary: Run, Monitor, and Maintain," unpublished reference note (09-Chapter-8-Summary.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
Ref10.05: "The Data Flywheel: Continuous Improvement Loop," unpublished reference note (05-Data-Flywheel-Continuous-Improvement.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note