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Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)

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Flagger doesn't copy identical ports to services ### To Reproduce We have deployment resource which have follow container port mapping: ``` ports: - name: http containerPort: 8080 protocol: TCP -...

I ran into a problem that seems to have happened to many others, the details of the problem are: ``` Warning Synced 6m14s (x3 over 11m) flagger Halt advancement no...

I'm trying: https://docs.flagger.app/tutorials/linkerd-progressive-delivery When I describe the canary deployment - which ultimately failed - I see the following: ``` Warning Synced 28m (x6 over 30m) flagger Error checking metric providers:...

kind/enhancement
good first issue

## Describe the feature This feature allows the engineer to scale canary deployment differently from primary, AND the original deployment stays the same (non-invasive). This will allow company that have...

### Describe the bug https://docs.flagger.app/install/flagger-install-on-google-cloud does not work. The istio addon on GKE was removed a while back ( ``` ERROR: (gcloud.beta.container.clusters.create) The `--istio-config` flag is no longer supported. For...

## Describe the feature I can see when skipAnalysis is true, the canary deployment became immediately switch when new version is available, but i would like to continue the canary...

Hello, ### Describe the bug We have canary on a grpc application with portDiscovery enabled. The container of this application has 2 containerPorts. Flagger will generate the virtual service. In...

kind/bug

Hi, Really impressed with Flagger and everything it can do! I'm wondering what the minimum RBAC policy required is for helmtester. Does this depend on the chart being tested?

question

### Describe the bug We need to configure the Blue-Green deployment strategy (provider = kubernetes) BUT seems that the Prometheus/flagger can't fetch/scrape the request-success-rate metric OR maybe our application isn't...

I'd like to be able to roll out kafka consumers to my k8s cluster, one by one, rolling back automatically if the metrics look bad. Am I correct in thinking...