ramp-and-verify

Safely ramp traffic by progressing a new model through percent-based tiers with explicit approvals, snapshotting states before changes, and triggering rollback if metrics regress.

Canary routing with live verification gradually exposes live traffic to candidate models, capturing and comparing served versus non-routed traffic to validate improvements before full rollout.

Staged traffic ramping moves workloads from 0% to 25% traffic using a ladder strategy with defined percent-based tiers, capture-enabled routing, and explicit approval gates between each stage.

Yes, explicit approvals are required to progress traffic through each rollout tier, ensuring evidence-driven decision making and safety gates are satisfied before increasing live traffic exposure.

Use a gated traffic ramp when moving candidate models into live traffic is risky, requiring structured evidence collection, safety gates, and rollback triggers rather than immediate full exposure.

Evidence-driven decision making during a traffic ramp works by capturing and comparing served versus non-routed traffic at each tier, validating model improvements before proceeding to the next percent-based stage.