Switch to calico-ready
Several capd scheduled pipellines failed because of misconfiguration of dependsOn for management-cluster-flux
management-cluster-flux -> local-path-provisioner -> calico (none of them depends on the correct calico-ready unit)
In https://gitlab.com/sylva-projects/sylva-core/-/jobs/14428976389 we can see:
crustgather-job-14428976389 ~> kubectl get ks -A |grep calico
sylva-system calico-apiserver-rbac 2026-05-18T19:12:45Z True Applied revision: 0.0.0-git-e31e1200@sha256:aa412bee3cdb959a98b68b73aedd58bd974147570c7b34339569f289fb37e08a
sylva-system calico-crd 2026-05-18T19:12:45Z True Applied revision: 0.0.0-git-e31e1200@sha256:aa412bee3cdb959a98b68b73aedd58bd974147570c7b34339569f289fb37e08a
sylva-system calico-ready 2026-05-18T19:12:45Z Unknown Reconciliation in progress <-- calico not yet ready
sylva-system calico 2026-05-18T19:12:45Z True Applied revision: 0.0.0-git-e31e1200@sha256:aa412bee3cdb959a98b68b73aedd58bd974147570c7b34339569f289fb37e08a
sylva-system sylva-units-status 2026-05-18T19:12:45Z False dependency 'sylva-system/calico-ready' is not ready
crustgather-job-14428976389 ~> kubectl -n sylva-system get ks local-path-provisioner -o yaml | yq .spec.dependsOn
- name: calico
- name: cluster-reachable
- name: root-dependency-1
crustgather-job-14428976389 ~> kubectl -n sylva-system get ks management-cluster-flux -o yaml | yq .spec.dependsOn
- name: cluster-reachable
- name: local-path-provisioner
- name: root-dependency-1The job failed because flux pods could not be scheduled.
CI configuration
Below you can choose test deployment variants to run in this MR's CI.
Click to open to CI configuration
Legend:
| Icon | Meaning | Available values |
|---|---|---|
| Infra Provider | capd, capo, capm3 |
|
| Bootstrap Provider | kubeadm (alias kadm), rke2, okd, ck8s |
|
| Node OS | ubuntu, suse, na, leapmicro |
|
| Deployment Options | Deployment option list and description | |
| Pipeline Scenarios | Available scenario list and description | |
| Enabled units | Any available units name, by default apply to management and workload cluster. Can be prefixed by mgmt: or wkld: to be applied only to a specific cluster type |
|
| Disabled units | Any available units name, by default apply to management and workload cluster. Can be prefixed by mgmt: or wkld: to be applied only to a specific cluster type |
|
| Target platform | Can be used to select specific deployment environment Available platform list and description | |
| Pipeline control | autorun, manual or blocking. Can be used to override global config and start a deployment pipeline the required way |
-
🎬 preview☁️ capd🚀 kadm🐧 ubuntu -
🎬 preview☁️ capo🚀 rke2🐧 suse -
🎬 preview☁️ capm3🚀 rke2🐧 ubuntu -
☁️ capd🚀 kadm🛠️ light-deploy🐧 ubuntu -
☁️ capd🚀 rke2🛠️ light-deploy🐧 suse -
☁️ capo🚀 rke2🐧 suse -
☁️ capo🚀 rke2🐧 leapmicro -
☁️ capo🚀 kadm🐧 ubuntu -
☁️ capo🚀 kadm🐧 ubuntu🟢 neuvector,mgmt:harbor -
☁️ capo🚀 rke2🎬 rolling-update🛠️ ha🐧 ubuntu -
☁️ capo🚀 kadm🎬 wkld-k8s-upgrade🐧 ubuntu -
☁️ capo🚀 rke2🎬 rolling-update-no-wkld🛠️ ha🐧 suse -
☁️ capo🚀 rke2🎬 sylva-upgrade🛠️ ha🐧 ubuntu -
☁️ capo🚀 rke2🎬 sylva-upgrade-from-1.6.x🛠️ ha,misc🐧 ubuntu -
☁️ capo🚀 rke2🛠️ ha,misc🐧 ubuntu -
☁️ capo🚀 rke2🛠️ misc🐧 ubuntu🟢 mgmt:harbor🔴 neuvector -
☁️ capo🚀 rke2🛠️ ha,misc,openbao🐧 suse -
☁️ capo🚀 rke2🐧 suse🎬 upgrade-from-prev-tag -
☁️ capm3🚀 rke2🐧 suse -
☁️ capm3🚀 kadm🐧 ubuntu -
☁️ capm3🚀 ck8s🐧 ubuntu -
☁️ capm3🚀 kadm🎬 rolling-update-no-wkld🛠️ ha,misc🐧 ubuntu -
☁️ capm3🚀 rke2🎬 wkld-k8s-upgrade🛠️ ha🐧 suse -
☁️ capm3🚀 kadm🎬 rolling-update🛠️ ha🐧 ubuntu -
☁️ capm3🚀 rke2🎬 upgrade-from-prev-release-branch🛠️ ha🐧 suse -
☁️ capm3🚀 rke2🛠️ misc,ha🐧 suse -
☁️ capm3🚀 rke2🎬 sylva-upgrade🛠️ ha,misc🐧 suse -
☁️ capm3🚀 kadm🎬 rolling-update🛠️ ha🐧 suse -
☁️ capm3🚀 ck8s🎬 rolling-update🛠️ ha🐧 ubuntu -
☁️ capm3🚀 rke2|okd🎬 no-update🐧 ubuntu|na -
☁️ capm3🚀 rke2🐧 suse🎬 upgrade-from-release-1.5 -
☁️ capm3🚀 rke2🐧 suse🎬 upgrade-to-main
Global config for deployment pipelines
- autorun pipelines
- allow failure on pipelines
- record sylvactl events
Notes:
- Enabling
autorunwill make deployment pipelines to be run automatically without human interaction - Disabling
allow failurewill make deployment pipelines mandatory for pipeline success. - if both
autorunandallow failureare disabled, deployment pipelines will need manual triggering but will be blocking the pipeline
Be aware: after configuration change, pipeline is not triggered automatically.
Please run it manually (by clicking the run pipeline button in Pipelines tab) or push new code.