Development Documentation:
- Complete development history and commit reference
- Four-phase implementation breakdown with detailed descriptions
- Key commit hashes with functional descriptions
- Project structure overview with file descriptions
- Build and test command reference
Reproducibility Guide:
- Step-by-step development phases documented
- Commit-by-commit feature implementation tracking
- Docker and testing infrastructure setup
- Usage examples for all major features
- Troubleshooting and architecture guidance
This documentation allows future developers or Claude instances to:
- Understand the complete development process
- Reproduce the implementation step-by-step
- Navigate the codebase structure effectively
- Run tests and demonstrations independently
- Extend functionality with proper context
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
@ -142,3 +142,105 @@ The library automatically detects kernel BPF features at runtime through `detect
- **eBPF programs**: `ebpf/` directory
- **eBPF programs**: `ebpf/` directory
- **Integration tests**: `test/integration-test/` and `test/integration-ebpf/`
- **Integration tests**: `test/integration-test/` and `test/integration-ebpf/`
- **Test kernels**: `test/.tmp/` (downloaded during CI)
- **Test kernels**: `test/.tmp/` (downloaded during CI)
## Traffic Monitor Project
The traffic-monitor directory contains a complete eBPF-based network traffic monitoring solution that demonstrates advanced Aya capabilities. This project was developed as a comprehensive example showcasing XDP (eXpress Data Path) packet processing with structured logging and analytics.
### Development History (Branch: ks/claude-dev)
This project was developed through a comprehensive implementation process that included:
#### Phase 1: Core eBPF Implementation
- **eBPF Kernel Program**: XDP-based packet filtering with CIDR range matching
- **Userspace Management**: Program loading, configuration, and event processing
- **Configuration System**: JSON-based CIDR range management
- **Event Handling**: Real-time statistics and traffic analysis
#### Phase 2: Structured Logging Enhancement
- **Multi-Format Logging**: JSON, CSV, JSONL, and Console output formats
- **Performance Optimization**: Buffered I/O and configurable buffer sizes
- **Flow Correlation**: Unique flow hashing for session tracking
- **Metadata Enrichment**: Timestamps, protocol details, and action logging