Deployment Manager: Environment and Strategy Specification

DeploymentManager orchestrates staging, canary, and production rollouts. This page specifies deployment strategies, approval gates, and state lifecycle.

DeploymentManager orchestrates the progression of model artifacts from staging through canary to production. This page specifies the supported environments, deployment strategies, approval gates, and the state lifecycle of a deployment record.

Environments

Environment	Purpose	Auto-promote Allowed
Staging	Integration testing, smoke tests, benchmark runs	No
Canary	Limited production traffic, regression detection	No
Production	Full traffic, final serving target	No

Every artifact must pass staging before entering canary. Canary promotion to production requires explicit approval.

Deployment Strategies

Strategy	Description	Risk Level	Use Case
Blue/Green	Two identical environments; traffic switches atomically	Low	Major version releases, critical updates
Rolling	Gradual replacement of instances	Medium	Patch releases, routine updates
Canary %	Percentage-based traffic shift	Medium	A/B testing, gradual confidence building

DeploymentManager selects the strategy based on the model version change type: major versions default to blue/green, minor to rolling, patch to canary % with a 5% initial step.

Deployment Record State Diagram

A deployment record moves through states as it progresses through environments and strategies.

Approval Gates

Gate	Required Role	Checks
Staging approval	Model Engineer	Smoke tests pass, benchmark baseline met
Canary approval	Model Lead	Canary window elapsed (default 24h), no regression alerts
Production approval	Release Manager	All prior gates passed, security review signed

Auto-promotion is disabled for all environments. Every gate requires explicit human approval. This is a security requirement, not configurable.

Rollback Triggers

DeploymentManager initiates rollback on any of the following conditions:

• Regression alert from EvaluationEngine
• Latency or error rate breach from Monitoring
• Manual trigger by Release Manager or on-call engineer
• Security incident flagged by Security Requirements

Rollback restores the last known good version and freezes traffic to the failing version. See Model Rollback for the full protocol.

Integration

DeploymentManager reads deployment configurations from Configuration Specification. It invokes QuantizationEngine before staging and InferenceBackend during environment setup. Deployment records are stored in ExperimentTracker and linked to Model Lineage.