Canvas CloudAI
Canvas Cloud AI

Canary Deployment

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software
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Definition

Gradual deployment strategy that releases changes to a small subset of users first before rolling out to everyone. Like testing a new recipe on a few customers before adding it to the full menu.

Real-World Example

Release the new feature to 5% of users, monitor for issues, then gradually increase to 25%, 50%, and finally 100% if everything works well.

Related Terms

Cloud Provider Equivalencies

Canary deployment is a strategy rather than a single product. Each cloud supports it via deployment/orchestration tools plus traffic-splitting (load balancer, ingress, or service mesh) and monitoring/rollback.

AWS
AWS CodeDeploy (with Application Load Balancer weighted target groups) / Amazon ECS or EKS with ALB weighted routing
AZ
Azure App Service Deployment Slots (with traffic routing) / Azure Kubernetes Service (AKS) with service mesh or ingress traffic splitting
GCP
Google Cloud Deploy (with GKE) / GKE with service mesh (Anthos Service Mesh/Istio) traffic splitting
OCI
OCI DevOps (Deployments) / OCI Container Engine for Kubernetes (OKE) with ingress or service mesh traffic splitting

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