Set TCP_TARGETS VIP for CAPO workload clusters
What does this MR do and why?
On CAPO workload clusters, the Goldpinger TCP_TARGETS environment variable was empty because {{ .Values.cluster_virtual_ip }} is not populated for this setup. This meant Goldpinger was not monitoring the cluster VIP via TCP. Changes: Heat Stack output — Added a new output goldpinger_tcp_targets in the capo-cluster-resources Heat Stack, which produces the cluster VIP in the format IP:6443 using a str_replace on the already-computed VIP address.
sylva-units values — Added a valuesFrom entry for the Goldpinger unit that reads goldpinger_tcp_targets from the capo-cluster-resources ConfigMap and injects it directly into extraEnv[0].value (the TCP_TARGETS env var) via targetPath: extraEnv[0].value. The entry is marked as optional for non-CAPO setups, where cluster_virtual_ip is already populated and the existing value fallback applies.
Related reference(s)
Closes #4037 (closed)
Test coverage
# flux debug hr goldpinger -n rke2-andra --show-values
extraEnv:
- name: TCP_TARGETS
value: 192.168.16.139:6443
- name: HTTP_TARGETS
value: http://goldpinger.goldpinger.svc.cluster.local:8081
ingress:
className: nginx
enabled: true
hosts:
- host: goldpinger.rke2-andra.wclusters.sylva
paths:
- path: /
pathType: Prefix
tls:
- hosts:
- goldpinger.rke2-andra.wclusters.sylva
secretName: goldpinger-tls
nodeSelector: {}
rbac:
create: true
service:
type: ClusterIP
serviceMonitor:
enabled: ""
tolerations: []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🟢 goldpinger -
☁️ 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
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Please run it manually (by clicking the run pipeline button in Pipelines tab) or push new code.