- Updated CPU usage query to use node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate
- Updated memory usage query to use container_memory_working_set_bytes with correct job and metrics_path
- Updated requests/limits queries to use kube_resourcequota with correct cluster and type parameters
- Applied fixes to both get_workload_historical_analysis and get_namespace_historical_analysis functions
- Queries now match the working queries from OpenShift console dashboard
- Remove heavy Python dependencies installation from CI
- Add basic syntax check instead of full dependency install
- Optimize Podman installation with quiet flags
- Add build cache with --layers flag
- Add 30-minute timeout to prevent hanging
- Use single build with tag instead of double build
- Improve overall workflow performance
- Add configuration to exclude system namespaces by default
- Add UI checkbox to include system namespaces when needed
- Update API endpoints to accept include_system_namespaces parameter
- Update Kubernetes client to apply namespace filtering
- Update ConfigMap and deployment with new environment variables
- Fix Dockerfile to install dependencies globally
- Test functionality with both filtered and unfiltered results
- Migrate from DaemonSet to Deployment for better efficiency
- Add GitHub Actions for automatic build and deploy
- Add Blue-Green deployment strategy with health checks
- Add scripts for development and production workflows
- Update documentation with CI/CD flow
- Change from Quay.io to Docker Hub (andersonid/openshift-resource-governance)
- Update GitHub Actions to use DOCKERHUB_USERNAME and DOCKERHUB_TOKEN
- Update all scripts and documentation to use Docker Hub
- Add DOCKERHUB-SETUP.md with detailed setup instructions
- Update Makefile, deploy scripts, and templates
- Simplify registry references (no quay.io prefix needed)
- Implementa ferramenta completa de governança de recursos
- Backend Python com FastAPI para coleta de dados
- Validações seguindo best practices Red Hat
- Integração com Prometheus e VPA
- UI web interativa para visualização
- Relatórios em JSON, CSV e PDF
- Deploy como DaemonSet com RBAC
- Scripts de automação para build e deploy
