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- Monitoring: Migrated from manual Grafana/Prometheus manifests to kube-prometheus-stack based setup in etc/init_monitoring.sh. Removed old manifest files from deploy/ and k8s/. - Installer Core: Refactored installer with new modules for actions, environment handling, and UI screens. Enhanced Milestone logic to support advanced configuration (ArgoCD, Registry namespaces, Kerberos flags, etc.). - Service & Init Scripts: Updated multiple initialization scripts (init_*.sh) for better integration with OpenBao, Kerberos, and the new monitoring stack. Added new scripts for Nginx Ingress, Ollama parsing, and K3D route fixes. - Infrastructure: Enhanced Samba AD DC Ansible role with realm derivation, provisioning guidance, and group management. Updated K3s role tasks. - Configuration: Refined default settings in conf/ to align with the new deployment architecture. - App & Tools: Updated prole-app Swift code and prole.sh for improved environment variable handling and installation flow. |
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| .. | ||
| manifests | ||
| main.tf | ||
| opentofu.auto.tfvars | ||
| README.md | ||
| variables.tf | ||
OpenTofu k3s Pipeline
This pipeline re-deploys the Prole environment into a k3s cluster using OpenTofu.
Usage
- Ensure
opentofu.auto.tfvarsis populated (install.py will generate it). - Sync manifests into
deploy/opentofu/k3s/manifests. - Run:
tofu init
tofu plan
tofu apply
Files
main.tf: Applies Kubernetes manifests with the configured namespace.variables.tf: Pipeline inputs (server URL, token, namespace).opentofu.auto.tfvars: Auto-generated values from Prole install/config.manifests/: Copy ofk8s/manifests to re-deploy.