Theory: Production Deployment

Overview

Deploying agent systems requires more than shipping code. You are also deploying prompts, policies, models, and evaluation assumptions. Safe delivery depends on reproducible pipelines, release gates, progressive rollout, and rapid rollback.

Operational maturity is measured by how quickly you detect and recover from regressions. Well-designed deployment workflows reduce blast radius and shorten incident resolution time.

Learning Ladder

Level	Focus	Outcome
Beginner	Build, test, and deploy gates	Prevent obvious bad releases
Intermediate	Canary and metric checks	Limit production blast radius
Advanced	Automated rollback policy	Reduce MTTR during incidents

Core Concepts

Beginner Foundation

• Require build and test success before any deployment attempt.
• Keep release criteria explicit, versioned, and reproducible.
• Treat eval outcomes as mandatory release signals.
• Store deployment metadata for traceability.

Intermediate Mechanics

• Roll out canaries to a small, representative traffic slice.
• Compare canary metrics against stable baseline in near real time.
• Promote only when quality and reliability gates pass.
• Abort quickly when canary degradation exceeds threshold.

Advanced Production Patterns

• Automate rollback on critical threshold breach.
• Preserve release, config, and policy diffs for incident review.
• Run post-release health checks at fixed intervals.
• Practice rollback drills to validate readiness.

Key Takeaways

• Deployment safety requires gates, canaries, and rollback by default.
• Release metadata is essential for diagnosis and accountability.
• Faster recovery often matters more than perfect prevention.