📸 Screenshots and Dashboards¶
Overview¶
This section showcases visual representations of the self-healing infrastructure, including monitoring dashboards, chaos engineering experiments, and system architecture diagrams.
Monitoring Dashboards¶
1. Kubernetes Cluster Overview¶
Description: Main dashboard showing cluster health, node status, and resource utilization.
Key Metrics: - Node CPU and Memory usage - Pod status and distribution - Cluster events and alerts - Resource allocation
2. Self-Healing Controller Dashboard¶
Description: Real-time monitoring of self-healing operations and recovery actions.
Key Metrics: - Failures detected and resolved - Recovery time and success rate - Active failures and their status - Controller performance metrics
3. Chaos Engineering Experiments¶
Description: Overview of active chaos experiments and their impact on the system.
Key Metrics: - Experiment status and duration - System resilience metrics - Recovery time during chaos - Experiment history and results
4. Application Performance¶
Description: Application-specific metrics including response times, error rates, and throughput.
Key Metrics: - Request rate and response times - Error rates and status codes - Database connection pool - Cache hit rates
Infrastructure Architecture¶
1. System Architecture Diagram¶
Description: High-level architecture showing all components and their interactions.
Components: - Kubernetes cluster - Monitoring stack (Prometheus, Grafana) - Self-healing controller - Chaos engineering platform - CI/CD pipeline
2. Network Topology¶
Description: Network layout showing service mesh, load balancers, and connectivity.
Features: - Service mesh configuration - Network policies - Load balancer setup - Security groups
3. Data Flow Diagram¶
Description: Data flow between different system components.
Flows: - Metrics collection - Alert processing - Recovery actions - Log aggregation
Chaos Engineering Experiments¶
1. Pod Failure Experiment¶
Description: Screenshot showing a pod failure experiment in progress.
Details: - Experiment configuration - Real-time impact metrics - Recovery actions triggered - System behavior during failure
2. Network Partition Experiment¶
Description: Network partition experiment showing connectivity issues.
Details: - Network delay injection - Service communication impact - Automatic failover - Recovery verification
3. Node Failure Experiment¶
Description: Node failure simulation showing cluster behavior.
Details: - Node cordoning and draining - Pod rescheduling - Service availability - Recovery procedures
CI/CD Pipeline¶
1. GitHub Actions Workflow¶
Description: Screenshot of the CI/CD pipeline execution.
Stages: - Build and test - Security scanning - Deployment - Post-deployment verification
2. Deployment Status¶
Description: Real-time deployment status and metrics.
Information: - Deployment progress - Environment status - Rollback options - Performance metrics
Monitoring and Alerting¶
1. Alert Manager¶
Description: Alert management interface showing active alerts.
Features: - Alert grouping and routing - Silence management - Notification history - Alert statistics
2. Grafana Dashboards¶
Description: Custom Grafana dashboard for infrastructure monitoring.
Panels: - Resource utilization - Service health - Performance metrics - Custom visualizations
Self-Healing Operations¶
1. Recovery Actions¶
Description: Screenshot showing automatic recovery actions in progress.
Actions: - Pod restart - Node replacement - Service failover - Resource scaling
2. Health Checks¶
Description: Health check results and status.
Checks: - Liveness probes - Readiness probes - Startup probes - Custom health checks
Performance Metrics¶
1. System Performance¶
Description: Overall system performance metrics.
Metrics: - CPU and memory usage - Network throughput - Storage I/O - Application performance
2. Recovery Metrics¶
Description: Self-healing performance and success rates.
Metrics: - Recovery time - Success rate - Failure patterns - Improvement trends
Security and Compliance¶
1. Security Dashboard¶
Description: Security monitoring and compliance dashboard.
Features: - Vulnerability scanning - Access control - Audit logs - Compliance status
2. Network Security¶
Description: Network security policies and monitoring.
Policies: - Network policies - Security groups - Traffic analysis - Threat detection
Troubleshooting¶
1. Debug Interface¶
Description: Debug interface for troubleshooting issues.
Tools: - Log viewer - Metrics explorer - Configuration viewer - Health checker
2. Error Analysis¶
Description: Error analysis and root cause investigation.
Analysis: - Error patterns - Root cause analysis - Impact assessment - Resolution tracking
Future Enhancements¶
1. AI-Powered Monitoring¶
Description: AI-powered monitoring and prediction interface.
Features: - Anomaly detection - Predictive analytics - Automated insights - Intelligent alerting
2. Advanced Visualization¶
Description: Advanced visualization and analytics dashboard.
Visualizations: - 3D topology maps - Real-time flow diagrams - Interactive charts - Custom widgets
Screenshot Gallery¶
Infrastructure Screenshots¶
| Screenshot | Description | Link |
|---|---|---|
| Cluster Overview | Main cluster dashboard | View |
| Node Status | Individual node metrics | View |
| Pod Distribution | Pod placement and status | View |
| Service Mesh | Service mesh topology | View |
Monitoring Screenshots¶
| Screenshot | Description | Link |
|---|---|---|
| Prometheus | Metrics collection interface | View |
| Grafana | Visualization dashboard | View |
| Alert Manager | Alert management interface | View |
| Metrics Explorer | Custom metrics analysis | View |
Chaos Engineering Screenshots¶
| Screenshot | Description | Link |
|---|---|---|
| Experiment Dashboard | Chaos experiments overview | View |
| Pod Failure | Pod failure experiment | View |
| Network Chaos | Network partition experiment | View |
| Recovery Analysis | Post-experiment analysis | View |
CI/CD Screenshots¶
| Screenshot | Description | Link |
|---|---|---|
| Pipeline Status | CI/CD pipeline execution | View |
| Deployment | Deployment progress | View |
| Test Results | Test execution results | View |
| Security Scan | Security scanning results | View |
Interactive Demos¶
1. Live Demo Environment¶
Access the live demo environment to explore the system interactively:
- Demo URL: https://demo.self-healing-infrastructure.com
- Credentials: demo/demo123
- Features: Full system access with sample data
2. Video Demonstrations¶
Watch video demonstrations of key features:
- System Overview: Coming Soon
- Chaos Engineering: Coming Soon
- Self-Healing: Coming Soon
- CI/CD Pipeline: Coming Soon
3. Interactive Tutorials¶
Step-by-step interactive tutorials:
- Getting Started: Documentation
- Chaos Experiments: Documentation
- Monitoring Setup: Documentation
- Troubleshooting: Documentation
Screenshot Guidelines¶
1. Taking Screenshots¶
When taking screenshots for documentation:
- Resolution: Use high resolution (1920x1080 or higher)
- Format: Save as PNG for best quality
- Annotations: Add arrows and text to highlight important areas
- Consistency: Use consistent styling and layout
2. Screenshot Organization¶
Organize screenshots by category:
images/
├── dashboards/
│ ├── kubernetes-cluster.png
│ ├── self-healing.png
│ └── chaos-engineering.png
├── architecture/
│ ├── system-overview.png
│ ├── network-topology.png
│ └── data-flow.png
├── experiments/
│ ├── pod-failure.png
│ ├── network-partition.png
│ └── node-failure.png
└── ci-cd/
├── pipeline-status.png
├── deployment.png
└── test-results.png
3. Screenshot Maintenance¶
Keep screenshots up to date:
- Regular Updates: Update screenshots when UI changes
- Version Control: Track screenshot changes in git
- Documentation: Update documentation when screenshots change
- Testing: Verify screenshots are accurate and current
Conclusion¶
These screenshots provide a comprehensive visual overview of the self-healing infrastructure system. They demonstrate the system's capabilities, monitoring capabilities, and operational procedures. For more detailed information about any specific aspect, please refer to the corresponding documentation sections.