This roadmap outlines the planned features and enhancements for kdebug, organized by version releases. The focus is on expanding Kubernetes troubleshooting capabilities to cover all common operational challenges that developers and platform teams encounter.
- Core CLI Framework - Complete command structure with global options
- Cluster Health Diagnostics - Node conditions, control plane, DNS validation
- Pod Diagnostics - Comprehensive pod-level troubleshooting
- Service Diagnostics - Service configuration, endpoints, and connectivity validation
- Complete networking troubleshooting capabilities
- Advanced DNS resolution and configuration validation
- Ingress and traffic routing diagnostics
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Ingress Diagnostics
- Ingress controller health and configuration validation
- Path routing and backend service mapping verification
- SSL/TLS certificate validation and expiration warnings
- Load balancer integration and external IP assignment
- Host-based routing and domain resolution testing
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Network Policy Validation
- Network policy rule analysis and conflict detection
- Pod-to-pod connectivity testing with policy simulation
- Ingress and egress traffic flow validation
- CNI plugin compatibility and configuration verification
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LoadBalancer & NodePort Services
- External load balancer provisioning and health checks
- Node port allocation and firewall rule validation
- Service mesh integration (Istio, Linkerd) compatibility
- Cross-zone traffic distribution analysis
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Advanced DNS Testing
- Deploy ephemeral test pods for comprehensive DNS validation
- Custom DNS server configuration testing
- DNS caching and TTL analysis
- Cross-cluster DNS resolution (federation scenarios)
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CoreDNS Deep Diagnostics
- CoreDNS configuration file analysis and syntax validation
- Plugin configuration and compatibility checks
- DNS query logging and performance analysis
- Upstream DNS server connectivity and fallback testing
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PVC and PV Diagnostics
- Persistent Volume Claim binding analysis
- Storage class compatibility and provisioning validation
- Volume mount permissions and filesystem checks
- Storage performance and capacity monitoring integration
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StatefulSet Support
- Ordered pod deployment and scaling validation
- Persistent volume template and headless service analysis
- Pod DNS naming and service discovery verification
- Deployment strategy analysis and optimization
- Advanced resource management and autoscaling
- Multi-cluster and hybrid cloud support
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Deployment Analysis
- Rolling update strategy validation and optimization suggestions
- Blue-green and canary deployment pattern analysis
- Resource allocation efficiency and waste detection
- Pod disruption budget validation and availability guarantees
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HPA & VPA Diagnostics
- Horizontal Pod Autoscaler configuration and metrics validation
- Vertical Pod Autoscaler recommendations and resource optimization
- Custom metrics and external metrics adapter testing
- Scaling policy efficiency and threshold optimization
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Job & CronJob Management
- Batch job execution analysis and failure investigation
- CronJob scheduling conflicts and resource contention detection
- Job completion tracking and retry policy validation
- Resource cleanup and garbage collection verification
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RBAC Deep Analysis
- Role and RoleBinding overprivilege detection
- Service account security audit and least-privilege recommendations
- ClusterRole aggregation and permission inheritance analysis
- Pod security standard compliance validation
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Security Context Validation
- Container security context analysis and hardening suggestions
- Pod Security Policy (PSP) and Pod Security Standards validation
- Network security and service mesh policy integration
- Secret and ConfigMap security audit
- Comprehensive performance analysis and optimization
- Deep integration with monitoring and logging systems
- Proactive issue detection and alerting
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Resource Efficiency Analysis
- CPU and memory utilization patterns and optimization suggestions
- Container resource request/limit tuning recommendations
- Node resource allocation efficiency and cluster optimization
- Cost analysis and resource waste identification
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Performance Bottleneck Detection
- Application startup time analysis and optimization suggestions
- Container image layer analysis and optimization recommendations
- Network latency and throughput testing between services
- Storage I/O performance analysis and tuning suggestions
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Metrics Integration
- Prometheus metrics analysis and alerting rule validation
- Grafana dashboard health and data source connectivity
- Custom metrics endpoint discovery and validation
- SLI/SLO compliance monitoring and gap analysis
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Logging System Integration
- Log aggregation system health (ELK, Fluentd, etc.)
- Log parsing and structured logging validation
- Log retention policy and storage optimization
- Error pattern detection and correlation analysis
- Distributed Tracing
- Jaeger/Zipkin integration for request flow analysis
- Service dependency mapping and performance correlation
- Microservice communication pattern analysis
- Trace sampling and performance impact assessment
- Multi-cluster and federation support
- Cloud provider integration and hybrid scenarios
- GitOps and CI/CD pipeline integration
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Cluster Federation
- Cross-cluster service discovery and networking validation
- Federated resource synchronization and conflict resolution
- Multi-cluster load balancing and traffic distribution
- Disaster recovery and failover scenario testing
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Hybrid Cloud Support
- Cloud provider integration (AWS EKS, GCP GKE, Azure AKS)
- On-premises to cloud connectivity validation
- Hybrid networking and VPN/peering configuration analysis
- Cost optimization across multiple cloud providers
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GitOps Workflow Analysis
- ArgoCD/Flux deployment pipeline health and synchronization
- Git repository connectivity and webhook validation
- Deployment drift detection and reconciliation analysis
- Secret management and external secret operator integration
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CI/CD Pipeline Integration
- Build and deployment pipeline health checks
- Container registry connectivity and authentication validation
- Image vulnerability scanning integration
- Deployment rollback and recovery procedure validation
- Production-ready enterprise features
- Advanced automation and self-healing capabilities
- Comprehensive reporting and compliance
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Multi-Tenancy Support
- Namespace isolation and resource quota validation
- Tenant-specific RBAC and security policy enforcement
- Cross-tenant resource sharing and access control
- Billing and cost allocation per tenant
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Compliance & Governance
- Regulatory compliance scanning (SOC2, HIPAA, PCI-DSS)
- Policy-as-code validation and enforcement
- Audit trail and change tracking integration
- Risk assessment and security posture analysis
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Intelligent Remediation
- Automated fix suggestion and safe auto-remediation
- Machine learning-based pattern recognition for common issues
- Predictive analysis for potential failures
- Integration with incident management systems (PagerDuty, OpsGenie)
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Advanced Reporting
- Executive dashboards and KPI tracking
- Compliance reports and audit documentation
- Trend analysis and capacity planning recommendations
- Integration with business intelligence and analytics platforms
- Machine Learning Integration
- Anomaly detection using historical cluster data
- Predictive failure analysis and prevention
- Intelligent root cause analysis with confidence scoring
- Natural language query interface for troubleshooting
- Edge Cluster Management
- Lightweight diagnostics for resource-constrained environments
- Edge-to-cloud connectivity and synchronization validation
- IoT device integration and protocol analysis
- Offline diagnostic capabilities with eventual synchronization
- IDE Integration
- VS Code extension for in-editor cluster diagnostics
- IntelliJ/GoLand plugin for real-time validation
- Local development environment cluster simulation
- Hot-reload and development workflow optimization
We welcome community input on our roadmap! Here's how you can contribute:
- Check our GitHub Issues for feature requests
- Vote with 👍 reactions on features you'd like to see prioritized
- Comment with your use cases and requirements
- Use our Feature Request Template
- Provide detailed use cases and acceptance criteria
- Include examples and expected behavior
- Check Contributing Guidelines for development setup
- Look for
good-first-issueandhelp-wantedlabels - Join our community discussions for roadmap planning
Features are prioritized based on:
- Community Impact (40%) - Number of users affected and severity of pain points
- Technical Complexity (20%) - Implementation effort and architectural considerations
- Strategic Alignment (20%) - Alignment with cloud-native ecosystem trends
- Maintainability (10%) - Long-term support and maintenance requirements
- Performance Impact (10%) - Effect on tool performance and resource usage
- Major Releases (X.0.0): Every 6 months with significant new capabilities
- Minor Releases (X.Y.0): Every 2 months with feature additions and enhancements
- Patch Releases (X.Y.Z): As needed for bug fixes and security updates
Have thoughts on our roadmap? We'd love to hear from you!
- 💬 Start a Discussion
- 🐛 Report Issues
- 📧 Email: tim@kdebug.dev
- 🐦 Twitter: @kdebug_tool
Last updated: December 2024