- Filter pods with status not in [Running, Pending]
- Filter pods ending with -build (S2I build pods)
- Prevent build pods from polluting workload analysis
- Improve analysis accuracy by focusing on active workloads
- Add get_cluster_resource_utilization() method to PrometheusClient
- Use real CPU and memory usage vs requests data from Prometheus
- Replace placeholder 75% with actual cluster resource utilization
- Update modal to show production-ready status instead of placeholder
- Add automatic fallback to simulated data if Prometheus unavailable
- Calculate overall utilization as average of CPU and memory efficiency
- 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
- 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
