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2026-04-24 08:24:34 +00:00
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@@ -631,6 +631,15 @@ retry:
4. 40 seconds
5. 80 seconds (capped at 3 minutes)
### Global Settings (`argocd-cm`)
| Setting | Value | Purpose |
|---------|-------|---------|
| `application.resourceTrackingMethod` | `annotation` | Track resources via annotations |
| `timeout.reconciliation` | `60s` | Reconciliation interval |
| `admin.enabled` | `true` | Enable admin account |
| `git.submodule.enabled` | `false` | Disable git submodule checkout — submodules are not needed for manifest generation |
---
## Infrastructure Components
@@ -1098,6 +1107,33 @@ kubectl get secret keycloak-client-<app> -n keycloak -o jsonpath='{.metadata.ann
**See**: [Developer Guide - Adding a New Keycloak Client](DEVELOPER-GUIDE.md#adding-a-new-keycloak-client)
### Karpor
**Chart**: `karpor` from `https://kusionstack.github.io/charts`
**Version**: 0.7.6 (app v0.6.4)
**Namespace**: `karpor`
**Sync Wave**: 1
**Purpose**: Kubernetes visualization and intelligence tool. Provides cross-cluster resource search, compliance checking, and topology visualization. Gives platform engineers a unified view of all cluster resources and their relationships.
**Architecture** (4 components):
- **Server** — main Karpor API/UI (port 7443)
- **Syncer** — syncs cluster state into the search index
- **ElasticSearch** — search backend for resource indexing
- **etcd** — persistent key-value store (10Gi PVC)
**Configuration** (`infra/values/base/karpor-values.yaml`):
- `namespaceEnabled: false` — ArgoCD manages namespace creation
- Default resource limits tuned for small clusters
- ElasticSearch: 2 CPU / 4Gi memory (the heaviest component)
- AI features available but not enabled (requires `server.ai.authToken` + backend config)
**Access**: Port-forward to reach the UI:
```bash
kubectl port-forward svc/karpor-release-server -n karpor 7443:7443
# Open https://localhost:7443
```
### Renovate
**Chart**: `renovate` (OCI: `ghcr.io/renovatebot/charts`)
@@ -1545,7 +1581,23 @@ Forward to Application (localhost:3000)
Application processes request
```
**See**: [Developer Guide - Enabling Authentication](DEVELOPER-GUIDE.md#enabling-authentication-for-applications) for usage examples.
#### Forwarded Headers
After successful authentication, the sidecar injects user identity as HTTP headers before forwarding the request to the application container:
| Header | Description | Auth Modes |
|--------|-------------|------------|
| `X-Auth-User` | Username or display name | Token, OIDC, MCP |
| `X-Auth-Email` | User email address | OIDC |
| `X-Auth-Subject` | OIDC `sub` claim (stable user ID) | OIDC, MCP |
| `X-Auth-Groups` | Comma-separated group memberships | OIDC (if `groups` scope) |
| `X-Auth-Token` | The validated access token | All modes |
These headers are trustworthy because the auto-generated `NetworkPolicy` restricts pod ingress to the sidecar port only — external traffic cannot reach the application container directly, so headers cannot be spoofed.
Applications should read these headers to obtain authenticated user information (e.g. for display, authorisation decisions, or audit logging) instead of implementing their own authentication.
**See**: [Developer Guide - Accessing Authenticated User Information](DEVELOPER-GUIDE.md#accessing-authenticated-user-information) for code examples.
---