| name | safe-rollout-strategies |
| description | techniques for de-risking agent releases. Use this to implement Canary, Blue-Green, and A/B testing strategies while leveraging GitOps for reliable rollbacks. |
Safe Rollout Strategies
Goal
Minimize business risk during deployment by releasing agent changes incrementally and maintaining the ability to revert instantly to a known-good state.
Release Patterns
1. Canary Deployment
- Workflow: Start by routing 1% of user traffic to the new agent version.
- Focus: Monitor closely for prompt injections, unexpected tool usage, or high error rates.
- Action: Gradually scale up to 100% or roll back instantly if issues are detected.
2. Blue-Green Deployment
- Workflow: Maintain two identical production environments ("Blue" for current live, "Green" for new).
- Action: Switch traffic instantly to "Green" once validated. If production-only bugs emerge, switch back to "Blue" for zero-downtime recovery.
3. A/B Testing
- Workflow: Run two agent versions simultaneously for different user segments.
- Focus: Compare versions based on real-world business metrics—like goal completion or conversion—to make data-driven release decisions.
4. Feature Flags
- Workflow: Deploy the code to production but keep it hidden behind a toggle.
- Action: Enable the new capability dynamically for specific users or teams to test in the "wild" before a general release.
The Production "Undo" Button
Rigorous versioning is the foundation of safe rollouts. You must version every component:
- Code and Prompts: Core logic and instruction sets.
- Model Endpoints: Specific foundation model versions.
- Tool Schemas: API definitions and parameter requirements.
- Memory Structures: How the agent stores state.
GitOps Workflow
Treat your repository as the single source of truth for your deployment history:
- Deploy: Every deployment should be triggered by a git commit.
- Rollback: Every rollback should be a simple
git revert.
