diff --git a/.gitignore b/.gitignore index 3767d73..dd5f3dd 100644 --- a/.gitignore +++ b/.gitignore @@ -164,4 +164,4 @@ kubeconfig .playwright-mcp/ # AI Agent Support -# AIAgents-Support.md - Keep this file in version control \ No newline at end of file +AIAgents-Support.md \ No newline at end of file diff --git a/AIAgents-Support.md b/AIAgents-Support.md deleted file mode 100644 index cb4ecbf..0000000 --- a/AIAgents-Support.md +++ /dev/null @@ -1,389 +0,0 @@ -# AI Agents Support - OpenShift Resource Governance Tool - -## 📋 Project Status Overview - -**Current State**: ✅ **PRODUCTION READY** - Application is fully functional and cluster-agnostic - -**Last Updated**: 2025-09-30 -**Current Version**: 1.0.0 -**Deployment Status**: -- ✅ OCP 4.18: Working -- ✅ OCP 4.19: Working - -## 🎯 Project Description - -**OpenShift Resource Governance Tool** is a comprehensive web application that analyzes Kubernetes/OpenShift cluster resource usage, validates resource requests and limits against Red Hat best practices, and provides historical analysis using Prometheus metrics. - -### Core Features -- **Resource Analysis**: Real-time analysis of CPU/memory requests and limits -- **Smart Problem Detection**: Identifies workloads without requests/limits and provides detailed analysis -- **Modal-based Analysis**: Professional interface with detailed pod and container analysis -- **Historical Analysis**: Workload-based historical resource usage (1d, 7d, 30d) -- **VPA Integration**: Vertical Pod Autoscaler recommendations (planned) -- **Export Reports**: Generate reports in XLS, CSV, PDF formats -- **Cluster Agnostic**: Works on any OpenShift cluster without configuration - -## 🏗️ Architecture - -### Backend (FastAPI) -- **Main App**: `app/main.py` - FastAPI application with lifespan management -- **API Routes**: `app/api/routes.py` - REST endpoints for cluster data -- **Core Services**: - - `app/core/kubernetes_client.py` - K8s/OpenShift API client - - `app/core/prometheus_client.py` - Prometheus metrics client - - `app/services/validation_service.py` - Resource validation rules - - `app/services/historical_analysis.py` - Historical data analysis - - `app/services/report_service.py` - Report generation -- **Models**: `app/models/resource_models.py` - Pydantic data models - -### Frontend (HTML/CSS/JavaScript) -- **Static Files**: `app/static/index.html` - Single-page application -- **Features**: - - Pragmatic dashboard with single view - - Modal-based detailed analysis for namespace problems - - Problem Summary table showing namespace issues - - Real-time cluster data display - - Professional interface without browser alerts - - Responsive design with Bootstrap - -### Infrastructure -- **Container**: Docker with Python 3.11 -- **Deployment**: Kubernetes/OpenShift with rolling updates -- **Monitoring**: Prometheus integration for metrics -- **Security**: RBAC with cluster-monitoring-view permissions - -## 🚀 Current Deployment Status - -### Working Clusters -1. **OCP 4.18**: `resource-governance.apps.shrocp4upi418ovn.lab.upshift.rdu2.redhat.com` -2. **OCP 4.19**: `resource-governance-route-resource-governance.apps.shrocp4upi419ovn.lab.upshift.rdu2.redhat.com` - -### Deployment Process -```bash -# Quick deploy (recommended) -./scripts/deploy-complete.sh - -# Manual deploy -./scripts/build-and-push.sh -oc apply -f k8s/ -``` - -## ✅ Completed Features - -### 1. Core Application -- [x] FastAPI backend with async support -- [x] Kubernetes/OpenShift API integration -- [x] Prometheus metrics collection -- [x] Resource validation with Red Hat best practices -- [x] Real-time cluster status dashboard - -### 2. Smart Resource Analysis -- [x] Problem identification for namespaces with resource issues -- [x] Detailed pod and container analysis -- [x] Modal-based detailed view with recommendations -- [x] Issue categorization (missing requests, missing limits, wrong ratios) -- [x] Clear recommendations for each problem - -### 3. UI/UX -- [x] Pragmatic dashboard with single view -- [x] Modal-based detailed analysis -- [x] Problem Summary table showing namespace issues -- [x] Professional interface without browser alerts -- [x] Responsive design with Bootstrap -- [x] Real-time data updates - -### 4. Deployment & Infrastructure -- [x] Cluster-agnostic deployment -- [x] SSL/TLS support with fallback -- [x] RBAC configuration -- [x] Rolling update strategy -- [x] Route exposure for internet access -- [x] Docker Hub image publishing - -### 5. Documentation & Localization -- [x] Complete translation from Portuguese to English -- [x] All comments, docstrings, and strings translated -- [x] README.md, DOCUMENTATION.md, AIAgents-Support.md in English -- [x] Clean documentation structure with only current files - -## 🔧 Technical Implementation Details - -### Key Files Modified -- `app/core/kubernetes_client.py` - SSL fallback for cluster compatibility -- `app/core/prometheus_client.py` - ServiceAccount token authentication -- `app/services/validation_service.py` - Enhanced resource validation engine -- `app/static/index.html` - Pragmatic dashboard with modal-based analysis -- `app/models/resource_models.py` - Updated models for container data structure -- `k8s/deployment.yaml` - Cluster-agnostic security context -- `k8s/route.yaml` - Dynamic hostname generation - -### Critical Fixes Applied -1. **SSL Connection**: Fallback to disable SSL verification when CA cert is empty -2. **SCC Compatibility**: Removed hardcoded UIDs, let OpenShift assign them -3. **Route Agnostic**: Removed hardcoded hostname, let OpenShift generate it -4. **Image Pull**: Docker Hub secret configuration -5. **Prometheus Integration**: ServiceAccount token authentication -6. **Data Structure Fix**: Updated PodResource model to handle container dictionaries -7. **Validation Engine**: Fixed container resource access in validation_service.py -8. **UI/UX**: Replaced browser alerts with professional modals - -## 🐛 Known Issues - -### 1. Historical Analysis Data -**Status**: ⚠️ **SHOWING ZEROS** -**Issue**: Prometheus queries return zero values for CPU/memory usage -**Location**: `app/services/historical_analysis.py` -**Impact**: Historical analysis appears empty -**Next Steps**: Debug PromQL queries and metric availability - -### 2. Export Functionality -**Status**: ⚠️ **NEEDS TESTING** -**Issue**: Export functionality needs validation with current implementation -**Location**: `app/services/report_service.py` -**Impact**: Users may not get proper export files -**Next Steps**: Test and fix file download mechanism - -## 📋 Roadmap & Next Steps - -### 🎯 **PRAGMATIC ROADMAP - Resource Governance Focus** - -**Core Mission**: List projects without requests/limits + provide smart recommendations based on historical analysis + VPA integration - ---- - -### **Phase 1: Enhanced Validation & Categorization (IN PROGRESS 🔄)** - -#### 1.1 Smart Resource Detection -- [x] **Enhanced Validation Engine** - - Better categorization of resource issues (missing requests, missing limits, wrong ratios) - - Severity scoring based on impact and risk - - Detailed analysis of pod and container resource configurations - -- [x] **Workload Analysis System** - - **Problem Identification**: Namespaces with resource configuration issues - - **Detailed Analysis**: Pod-by-pod breakdown with container details - - **Issue Categorization**: Missing requests, missing limits, wrong ratios - - **Recommendations**: Clear guidance on how to fix each issue - -#### 1.2 Historical Analysis Integration -- [ ] **Smart Historical Analysis** - - Use historical data to suggest realistic requests/limits - - Calculate P95/P99 percentiles for recommendations - - Identify seasonal patterns and trends - - Flag workloads with insufficient historical data - ---- - -### **Phase 2: Smart Recommendations Engine (SHORT TERM - 2-3 weeks)** - -#### 2.1 Recommendation Dashboard -- [ ] **Dedicated Recommendations Section** - - Replace generic "VPA Recommendations" with "Smart Recommendations" - - Show actionable insights with priority levels - - Display estimated impact of changes - - Group by namespace and severity - -#### 2.2 Recommendation Types -- [ ] **Resource Configuration Recommendations** - - "Add CPU requests: 200m (based on 7-day P95 usage)" - - "Increase memory limits: 512Mi (current usage peaks at 400Mi)" - - "Fix CPU ratio: 3:1 instead of 5:1 (current: 500m limit, 100m request)" - -- [ ] **VPA Activation Recommendations** - - "Activate VPA for new workload 'example' (insufficient historical data)" - - "Enable VPA for outlier workload 'high-cpu-app' (unpredictable usage patterns)" - -#### 2.3 Priority Scoring System -- [ ] **Impact-Based Prioritization** - - **Critical**: Missing limits on high-resource workloads - - **High**: Missing requests on production workloads - - **Medium**: Suboptimal ratios on established workloads - - **Low**: New workloads needing VPA activation - ---- - -### **Phase 3: VPA Integration & Automation (MEDIUM TERM - 3-4 weeks)** - -#### 3.1 VPA Detection & Management -- [ ] **VPA Status Detection** - - Detect existing VPAs in cluster - - Show VPA health and status - - Display current VPA recommendations - - Compare VPA suggestions with current settings - -#### 3.2 Smart VPA Activation -- [ ] **Automatic VPA Suggestions** - - Suggest VPA activation for new workloads (< 7 days) - - Recommend VPA for outlier workloads - - Provide VPA YAML configurations - - Show estimated benefits of VPA activation - -#### 3.3 VPA Recommendation Integration -- [ ] **VPA Data Integration** - - Fetch VPA recommendations from cluster - - Compare VPA suggestions with historical analysis - - Show confidence levels for recommendations - - Display VPA update modes and policies - ---- - -### **Phase 4: Action Planning & Implementation (LONG TERM - 4-6 weeks)** - -#### 4.1 Action Plan Generation -- [ ] **Step-by-Step Action Plans** - - Generate specific kubectl/oc commands - - Show before/after resource configurations - - Estimate implementation time and effort - - Provide rollback procedures - -#### 4.2 Implementation Tracking -- [ ] **Progress Monitoring** - - Track which recommendations have been implemented - - Show improvement metrics after changes - - Alert on new issues or regressions - - Generate implementation reports - -#### 4.3 Advanced Analytics -- [ ] **Cost Optimization Insights** - - Show potential cost savings from recommendations - - Identify over-provisioned resources - - Suggest right-sizing opportunities - - Display resource utilization trends - ---- - -### **Phase 5: Enterprise Features (FUTURE - 6+ weeks)** - -#### 5.1 Advanced Governance -- [ ] **Policy Enforcement** - - Custom resource policies per namespace - - Automated compliance checking - - Policy violation alerts - - Governance reporting - -#### 5.2 Multi-Cluster Support -- [ ] **Cross-Cluster Analysis** - - Compare resource usage across clusters - - Centralized recommendation management - - Cross-cluster best practices - - Unified reporting - ---- - -## 🎯 **IMMEDIATE NEXT STEPS (This Week)** - -### Priority 1: Enhanced Validation Engine -1. **Improve Resource Detection** - - Better categorization of missing requests/limits - - Add workload age detection - - Implement severity scoring - -2. **Smart Categorization** - - New workloads (< 7 days) → VPA candidates - - Established workloads (> 7 days) → Historical analysis - - Outlier workloads → Special attention needed - -### Priority 2: Recommendation Dashboard -1. **Create Recommendations Section** - - Replace generic VPA section - - Show actionable insights - - Display priority levels - -2. **Historical Analysis Integration** - - Use Prometheus data for recommendations - - Calculate realistic resource suggestions - - Show confidence levels - -### Priority 3: VPA Integration -1. **VPA Detection** - - Find existing VPAs in cluster - - Show VPA status and health - - Display current recommendations - -2. **Smart VPA Suggestions** - - Identify VPA candidates - - Generate VPA configurations - - Show estimated benefits - -## 🔍 Development Guidelines - -### Code Standards -- **Language**: English only (no Portuguese) -- **Comments**: Comprehensive docstrings -- **Error Handling**: Proper exception handling with logging -- **Testing**: Use Playwright for UI testing - -### Git Workflow -- **Commits**: Descriptive messages without emojis -- **Branches**: Feature branches for major changes -- **Releases**: Tag stable versions - -### Deployment Checklist -1. Test in development environment -2. Build and push Docker image -3. Deploy to test cluster -4. Verify all functionality -5. Deploy to production -6. Update documentation - -## 🛠️ Troubleshooting Guide - -### Common Issues -1. **SSL Certificate Errors**: Check `kubernetes_client.py` fallback logic -2. **SCC Permission Denied**: Verify `deployment.yaml` security context -3. **Image Pull Errors**: Check Docker Hub secret configuration -4. **Route Not Accessible**: Verify route hostname generation -5. **Prometheus Connection**: Check ServiceAccount token and RBAC - -### Debug Commands -```bash -# Check pod logs -oc logs -f deployment/resource-governance -n resource-governance - -# Check service status -oc get svc -n resource-governance - -# Check route -oc get route -n resource-governance - -# Test API -curl -k https:///api/v1/health - -# Test cluster status -curl -k https:///api/v1/cluster/status - -# Check deployment status -oc rollout status deployment/resource-governance -n resource-governance -``` - -## 📞 Support Information - -### Key Contacts -- **Developer**: Anderson Nobre -- **Repository**: https://github.com/andersonid/openshift-resource-governance -- **Docker Hub**: andersonid/resource-governance:latest - -### Resources -- **Main Documentation**: README.md -- **Documentation Index**: DOCUMENTATION.md -- **AI Agents Support**: AIAgents-Support.md (this file) -- **Deployment Scripts**: scripts/ directory -- **Kubernetes Manifests**: k8s/ directory - ---- - -## 🎯 Current Session Context - -**Last Action**: Implemented modal-based detailed analysis and professional interface -**Current Focus**: Enhanced validation engine with detailed pod/container analysis -**Next Priority**: Implement smart recommendations dashboard and VPA integration -**Status**: Phase 1 in progress - Enhanced Validation & Categorization partially completed - -**Recent Achievements**: -- ✅ Modal-based detailed analysis for namespace problems -- ✅ Professional interface without browser alerts -- ✅ Problem Summary table with namespace issues -- ✅ Detailed pod and container analysis with recommendations -- ✅ Clear issue categorization and recommendations - -**Note**: This file should be updated after each significant change to maintain project context for AI agents.