Infrastructure · Software component
Canary Rollout Controller
Software componentInfrastructureInfrastructurearc:CanaryRolloutController
A rollout controller that routes a small, stepwise-increasing share of production traffic to a new agent version, compares its metrics to the baseline at each step and reverts automatically on degradation.
Responsibility. Validates a new version on incrementally expanded live traffic.
Also known as: Canary deployment
Variant of Rollout Manager abstract
When to choose. Choose when a new version should be validated on real user traffic with limited exposure before full rollout.
Relationships
deployed on structural
is configured by structural
is invoked by dependency
reads dependency
routes to dynamic
triggers dynamic
- Version Rollback Controller abstract Ref8.08
is constrained by control
alternative to variability
Design guidance
- MUST route all traffic back to the stable version automatically when any metric degrades beyond configured thresholds.
Quantitative guidance
As stated by the sources; verify before use.
- Traffic steps 5% -> 25% -> 50% -> 100%, metrics compared every 2 minutes with ~10 minutes per step (Ch4.1).
- Example traffic steps 5% -> 25% -> 50% -> 100% (Ch6.5).
- Gradual fix rollout 1% -> 10% -> 50% -> 100% of traffic with monitoring at each step (Ref8.06).
- Canary stages 5% -> 25% -> 50% -> 100% with 30-minute monitoring each; roll back if canary success rate < 95% of baseline or p95 latency > 110% of baseline (Ref8.08).
Classification
- Patterns
- Canary deploymentMetric-gated traffic rampAutomated rollback
- Technologies
- KubernetesService meshIstioLinkerdConsulKServe
- Quality attributes
- Safety (ISO/IEC 25010 | NIST AI RMF: safe)Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)
- Risks mitigated
- Large blast radius of a regressing release
Sources
- Ch4.1: T. Nguyen, "Introduction to AI Agent Deployment and Scaling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.1. ISBN: 9798244538229.
- Ch4.3: T. Nguyen, "Container Orchestration and Edge Deployment," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.3. ISBN: 9798244538229.
- Ch6.5: T. Nguyen, "Production RAG Systems," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.5. ISBN: 9798244538229.
- Ch10.1: T. Nguyen, "Conversational UI," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.1. ISBN: 9798244538229.
- Ref7.04: NVIDIA, "NVIDIA NIM," NVIDIA Docs. Accessed: Sep. 27, 2026. [Online]. Available: https://docs.nvidia.com/nim/
- Ref8.06: "Error Troubleshooting and Incident Response for Agent Systems," unpublished reference note (06-Error-Troubleshooting-Incident-Response.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
- 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