Category : argo-workflows

I am having a little trouble understanding how workflow outputs work in Argo Workflows. Let’s look at the following example workflow from Argo. apiVersion: argoproj.io/v1alpha1 kind: Workflow metadata: generateName: output-parameter- spec: entrypoint: output-parameter templates: – name: output-parameter steps: – – name: generate-parameter template: whalesay – – name: consume-parameter template: print-message arguments: parameters: – name: message ..

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I currently have a docker container that runs a squid proxy (auths to proxy service) on http://localhost:3128. Running this locally in the container works well: curl api.ipify.org -x http://localhost:3128 squid.conf (for reference): http_access allow all http_port 3128 cache_peer proxyaddrr.com parent 7000 0 no-query default login=proxy-user:proxy-password never_direct allow all However, when I run this container as ..

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I am running Argo Workflow in GKE and workflow does not show container id while running following command docker ps –all –no-trunc –format={{.Status}}|{{.Label "io.kubernetes.container.name"}}|{{.ID}}|{{.CreatedAt}} Because of this wait container is stuck in a loop, searching for main container to be finished. Source: Docker..

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I want to trigger a manual workflow in Argo. I am using Openshift and ArgoCD, have scheduled workflows that are running successfully in Argo but failing when triggering a manual run for one workflow. The concerned workflow is: apiVersion: argoproj.io/v1alpha1 kind: Workflow metadata: generateName: "obslytics-data-exporter-manual-workflow-" labels: owner: "obslytics-remote-reader" app: "obslytics-data-exporter" pipeline: "obslytics-data-exporter" spec: arguments: parameters: ..

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