engineering · 1 min read
Canary Deploys for AI Workflows
Canary deploys catch problems before full rollout. Here is how Bhogar AI applies canary patterns to workflows, agents and prompts.
BABhogar AI TeamProduct & Engineering
Canary deploys are standard for microservices and surprisingly rare for AI workflows. The patterns transfer cleanly and the risk reduction is substantial.
Why it matters
A canary AI deploy routes a small percentage of traffic to the new version, monitors quality and cost metrics, and either promotes or rolls back automatically.
How Bhogar AI approaches it
Bhogar AI ships canary as a built-in deploy strategy for workflows, agents, prompts and models. Canary thresholds are configurable; rollback is one click.
- Canary deploy strategy built-in
- Configurable promotion thresholds
- Auto-rollback on metric regression
- Per-canary dashboards
- Compatible with shadow traffic
What you get
AI changes ship with the same confidence as microservice changes - and roll back as quickly when something goes wrong.