canary-deployment

Automate canary deployments by coordinating Linkerd traffic splits and Argo Rollouts analysis gates, managing staged traffic weight increments and triggering automated rollbacks based on real-time Prometheus SLO burn-rate monitoring.

SLO-based progressive delivery uses Argo Rollouts to enforce GitOps-native gate definitions, monitoring Prometheus metrics like error ratios and latency to automatically halt or roll back deployments that breach burn-rate thresholds.

Yes, you can use Linkerd traffic splitting to orchestrate weighted routing across standard stages like 5, 25, 50, and 100 percent, minimizing the blast radius of production deployments.

Yes, SLO-gated canary releases require Prometheus for real-time burn-rate monitoring and a GitOps setup to ensure deployment strategies and gate criteria are version-controlled and peer-reviewed.

The best way to minimize blast radius is progressive delivery, shifting traffic in staged increments via Linkerd while enforcing strict, automated SLO-based rollbacks to ensure production stability.

Canary rollbacks fail when Argo Rollouts analysis gates are not properly configured to query Prometheus burn-rate metrics, preventing automated rollback triggers from detecting error ratio or latency breaches.