384 lines
8.8 KiB
Markdown
384 lines
8.8 KiB
Markdown
# OpenShift Resource Governance Tool
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A resource governance tool for OpenShift clusters that goes beyond what Metrics Server and VPA offer, providing validations, reports and consolidated recommendations.
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## 🚀 Features
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- **Automatic Collection**: Collects requests/limits from all pods/containers in the cluster
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- **Red Hat Validations**: Validates capacity management best practices
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- **VPA Integration**: Consumes VPA recommendations in Off mode
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- **Prometheus Integration**: Collects real consumption metrics
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- **Consolidated Reports**: Generates reports in JSON, CSV and PDF
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- **Web UI**: Simple interface for visualization and interaction
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- **Recommendation Application**: Allows approving and applying recommendations
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## 📋 Requirements
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- OpenShift 4.x
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- Prometheus (native in OCP)
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- VPA (optional, for recommendations)
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- Python 3.11+
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- Docker
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- OpenShift CLI (oc)
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## 🛠️ Installation
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### 🚀 Quick Deploy (Recommended)
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```bash
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# 1. Clone the repository
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git clone <repository-url>
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cd RequestsAndLimits
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# 2. Login to OpenShift
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oc login <cluster-url>
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# 3. Complete deploy (creates everything automatically)
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./scripts/deploy-complete.sh
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```
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### 📋 Manual Deploy
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#### 1. Image Build
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```bash
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# Local build
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./scripts/build.sh
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# Build with specific tag
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./scripts/build.sh v1.0.0
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# Build for specific registry
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./scripts/build.sh latest your-username
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```
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#### 2. Deploy to OpenShift
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```bash
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# Apply all resources
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oc apply -f k8s/
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# Wait for deployment
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oc rollout status deployment/resource-governance -n resource-governance
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```
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#### 🚀 Automatic CI/CD (Recommended for Production)
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```bash
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# 1. Configure GitHub secrets
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./scripts/setup-github-secrets.sh
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# 2. Commit and push
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git add .
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git commit -m "New feature"
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git push origin main
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# 3. GitHub Actions will do automatic deploy!
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```
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**Automatic Flow:**
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- ✅ **Push to main** → GitHub Actions detects change
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- ✅ **Automatic build** → New image on Docker Hub
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- ✅ **Automatic deploy** → OpenShift updates deployment
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- ✅ **Rolling Update** → Zero downtime
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- ✅ **Health Checks** → Automatic validation
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#### 🔧 Manual Deploy (Development)
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```bash
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# Deploy with Blue-Green strategy
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./scripts/blue-green-deploy.sh
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# Deploy with specific tag
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./scripts/blue-green-deploy.sh v1.2.0
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# Test CI/CD flow locally
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./scripts/test-ci-cd.sh
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```
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**Development Scripts:**
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- ✅ **Full control** over the process
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- ✅ **Fast iteration** during development
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- ✅ **Easier debugging**
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- ✅ **Local tests** before pushing
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#### Complete Deploy (Initial)
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```bash
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# Complete deploy with ImagePullSecret (first time)
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./scripts/deploy-complete.sh
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```
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This script will:
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- ✅ Create namespace and RBAC
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- ✅ Configure ImagePullSecret for Docker Hub
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- ✅ Deploy application
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- ✅ Configure Service and Route
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- ✅ Verify everything is working
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#### Manual Deploy
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```bash
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# Default deploy
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./scripts/deploy.sh
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# Deploy with specific tag
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./scripts/deploy.sh v1.0.0
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# Deploy to specific registry
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./scripts/deploy.sh latest your-username
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```
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#### Undeploy
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```bash
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# Completely remove application
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./scripts/undeploy-complete.sh
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```
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### 3. Application Access
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After deploy, access the application through the created route:
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```bash
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# Get route URL
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oc get route resource-governance-route -n resource-governance
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# Access via browser
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# https://resource-governance-route-resource-governance.apps.openshift.local
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```
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## 🔧 Configuration
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### ConfigMap
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The application is configured through the ConfigMap `resource-governance-config`:
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```yaml
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data:
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CPU_LIMIT_RATIO: "3.0" # Default limit:request ratio for CPU
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MEMORY_LIMIT_RATIO: "3.0" # Default limit:request ratio for memory
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MIN_CPU_REQUEST: "10m" # Minimum CPU request
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MIN_MEMORY_REQUEST: "32Mi" # Minimum memory request
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CRITICAL_NAMESPACES: | # Critical namespaces for VPA
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openshift-monitoring
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openshift-ingress
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openshift-apiserver
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PROMETHEUS_URL: "http://prometheus.openshift-monitoring.svc.cluster.local:9090"
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```
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### Environment Variables
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- `KUBECONFIG`: Path to kubeconfig (used in development)
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- `PROMETHEUS_URL`: Prometheus URL
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- `CPU_LIMIT_RATIO`: CPU limit:request ratio
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- `MEMORY_LIMIT_RATIO`: Memory limit:request ratio
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- `MIN_CPU_REQUEST`: Minimum CPU request
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- `MIN_MEMORY_REQUEST`: Minimum memory request
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## 📊 Usage
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### API Endpoints
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#### Cluster Status
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```bash
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GET /api/v1/cluster/status
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```
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#### Namespace Status
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```bash
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GET /api/v1/namespace/{namespace}/status
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```
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#### Validations
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```bash
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GET /api/v1/validations?namespace=default&severity=error
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```
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#### VPA Recommendations
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```bash
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GET /api/v1/vpa/recommendations?namespace=default
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```
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#### Export Report
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```bash
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POST /api/v1/export
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Content-Type: application/json
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{
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"format": "json",
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"namespaces": ["default", "kube-system"],
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"includeVPA": true,
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"includeValidations": true
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}
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```
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### Usage Examples
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#### 1. Check Cluster Status
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```bash
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curl https://resource-governance-route-resource-governance.apps.openshift.local/api/v1/cluster/status
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```
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#### 2. Export CSV Report
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```bash
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curl -X POST https://resource-governance-route-resource-governance.apps.openshift.local/api/v1/export \
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-H "Content-Type: application/json" \
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-d '{"format": "csv", "includeVPA": true}'
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```
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#### 3. View Critical Validations
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```bash
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curl "https://resource-governance-route-resource-governance.apps.openshift.local/api/v1/validations?severity=critical"
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```
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## 🔍 Implemented Validations
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### 1. Required Requests
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- **Problem**: Pods without defined requests
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- **Severity**: Error
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- **Recommendation**: Define CPU and memory requests
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### 2. Recommended Limits
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- **Problem**: Pods without defined limits
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- **Severity**: Warning
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- **Recommendation**: Define limits to avoid excessive consumption
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### 3. Limit:Request Ratio
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- **Problem**: Ratio too high or low
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- **Severity**: Warning/Error
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- **Recommendation**: Adjust to 3:1 ratio
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### 4. Minimum Values
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- **Problem**: Requests too low
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- **Severity**: Warning
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- **Recommendation**: Increase to minimum values
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### 5. Overcommit
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- **Problem**: Requests exceed cluster capacity
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- **Severity**: Critical
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- **Recommendation**: Reduce requests or add nodes
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## 📈 Reports
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### JSON Format
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```json
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{
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"timestamp": "2024-01-15T10:30:00Z",
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"total_pods": 150,
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"total_namespaces": 25,
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"total_nodes": 3,
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"validations": [...],
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"vpa_recommendations": [...],
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"summary": {
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"total_validations": 45,
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"critical_issues": 5,
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"warnings": 25,
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"errors": 15
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}
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}
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```
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### CSV Format
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```csv
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Pod Name,Namespace,Container Name,Validation Type,Severity,Message,Recommendation
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pod-1,default,nginx,missing_requests,error,Container without defined requests,Define CPU and memory requests
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```
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## 🔐 Security
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### RBAC
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The application uses a dedicated ServiceAccount with minimal permissions:
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- **Pods**: get, list, watch, patch, update
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- **Namespaces**: get, list, watch
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- **Nodes**: get, list, watch
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- **VPA**: get, list, watch
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- **Deployments/ReplicaSets**: get, list, watch, patch, update
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### Security Context
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- Runs as non-root user (UID 1000)
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- Uses SecurityContext with runAsNonRoot: true
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- Limits resources with requests/limits
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## 🐛 Troubleshooting
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### Check Logs
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```bash
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oc logs -f daemonset/resource-governance -n resource-governance
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```
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### Check Pod Status
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```bash
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oc get pods -n resource-governance
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oc describe pod <pod-name> -n resource-governance
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```
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### Check RBAC
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```bash
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oc auth can-i get pods --as=system:serviceaccount:resource-governance:resource-governance-sa
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```
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### Test Connectivity
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```bash
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# Health check
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curl https://resource-governance-route-resource-governance.apps.openshift.local/health
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# API test
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curl https://resource-governance-route-resource-governance.apps.openshift.local/api/v1/cluster/status
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```
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## 🚀 Development
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### Run Locally
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```bash
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# Install dependencies
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pip install -r requirements.txt
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# Run application
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python -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8080
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```
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### Run with Docker
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```bash
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# Build
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docker build -t resource-governance .
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# Run
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docker run -p 8080:8080 resource-governance
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```
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### Tests
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```bash
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# Test import
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python -c "import app.main; print('OK')"
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# Test API
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curl http://localhost:8080/health
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```
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## 📝 Roadmap
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### Upcoming Versions
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- [ ] Web UI with interactive charts
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- [ ] PDF reports with charts
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- [ ] Custom rules per namespace
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- [ ] GitOps integration (ArgoCD)
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- [ ] Slack/Teams notifications
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- [ ] Custom Prometheus metrics
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- [ ] Multi-cluster support
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## 🤝 Contributing
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1. Fork the project
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2. Create a branch for your feature (`git checkout -b feature/AmazingFeature`)
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3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
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4. Push to the branch (`git push origin feature/AmazingFeature`)
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5. Open a Pull Request
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## 📄 License
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This project is under the MIT license. See the [LICENSE](LICENSE) file for details.
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## 📞 Support
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For support and questions:
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- Open an issue on GitHub
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- Consult OpenShift documentation
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- Check application logs
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