A/B Testing vs. Canary: The Main Differences and When to Use Each

A/B testing and canary testing both limit exposure to new changes, but they serve distinct purposes: A/B testing determines which version performs better through randomized, statistically significant comparisons of user or business metrics, while canary testing verifies that a release is operationally safe by gradually exposing a small traffic segment and monitoring errors, latency, crashes, and resource use. A/B tests are appropriate for measurable behavioral questions such as checkout, pricing, or onboarding changes, whereas canary releases are better suited to infrastructure, backend, database, and other technically risky updates that may cause outages. Blue-green deployment differs from both by switching all traffic between two parallel production environments for zero-downtime releases rather than gradual evaluation. For changes with both technical and behavioral risk, teams can first run a short canary phase to confirm stability and then conduct an A/B test to assess user outcomes, preventing technical defects from being mistaken for poor product performance. Feature flags can support both approaches by routing selected users to specific code paths, allowing teams to adjust rollout percentages, target segments, compare variants, and roll back changes without redeployment.

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