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96f594fd3c
- Consolidated and split initialization scripts in etc/:
- Removed init_prole-db.sh and init_authority.sh.
- Added init_kdc.sh for in-cluster MIT Kerberos KDC (prole-authority).
- Added init_ollama.sh for Ollama AI service integration.
- Added init_service_layer.sh for high-level service orchestration.
- Added init_k3s_registry.sh for private registry management.
- Major updates to install.py:
- Support for new Ollama and KDC configuration.
- Improved prole.cfg rendering and namespace handling.
- Updated unattended install flags.
- Infrastructure and Deployment:
- Updated K3s Ansible role with private registry support (registries.yaml template).
- Added prole-authority Dockerfile.
- Updated OpenBao Kerberos ConfigMap and other K8s manifests.
- Configuration:
- Updated prole.cfg with new sections for Ollama and Monitoring.
- Refined environment variable exports in env.sh and prole_cfg.sh.
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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.