A high-performance Linux process profiling framework for monitoring and analyzing application behavior in real time. The profiler collects CPU, memory, thread, scheduling, and disk I/O metrics to help identify performance bottlenecks, optimize resource utilization, and improve system performance.
Designed for performance engineers, systems programmers, backend engineers, site reliability engineers (SREs), and platform engineers.
- Real-time process monitoring
- CPU utilization profiling
- Memory usage analysis
- Thread monitoring
- Process lifecycle tracking
- Disk I/O monitoring
- Context switch analysis
- File descriptor monitoring
- Multi-process monitoring
- JSON, CSV, and HTML report generation
- CPU Utilization
- User Time
- System Time
- CPU Time
- CPU Affinity
- Scheduling Statistics
- Resident Set Size (RSS)
- Virtual Memory Size (VSZ)
- Shared Memory
- Peak Memory Usage
- Memory Growth
- Active Thread Count
- Thread State
- Thread Creation Rate
- Read Operations
- Write Operations
- Read Bytes
- Write Bytes
- I/O Throughput
- Process ID (PID)
- Parent Process ID
- Process State
- Start Time
- Running Time
- Command Line
- Open File Descriptors
The framework measures:
- CPU Usage
- Memory Usage
- Disk Throughput
- Thread Count
- Context Switches
- Resource Utilization
- Peak Resource Consumption
- Process Runtime
- I/O Activity
PID: 2456
Process: nginx
CPU Usage: 18.6%
Memory (RSS): 162 MB
Virtual Memory: 514 MB
Threads: 12
Read Bytes: 1.84 GB
Write Bytes: 624 MB
Open Files: 37
Context Switches: 24,831
Running Time: 02:41:13
Linux-Process-Profiler/
├── cmd/
├── internal/
│ ├── collector/
│ ├── profiler/
│ ├── metrics/
│ ├── parser/
│ ├── report/
│ └── utils/
├── configs/
├── examples/
├── reports/
├── docs/
├── scripts/
└── tests/
- Process discovery
- CPU monitoring
- Memory monitoring
- Basic reporting
- Thread profiling
- Disk I/O monitoring
- Process tree visualization
- CSV and JSON reports
- Interactive terminal dashboard
- Historical metrics
- HTML reports
- Performance comparison
- eBPF integration
- Flame graph generation
- Prometheus exporter
- Grafana dashboards
- Continuous profiling
- Go
- Linux
- procfs
- Performance Profiling
- Systems Programming
- JSON
- CSV
- Performance Engineers
- Systems Engineers
- Backend Engineers
- Platform Engineers
- Site Reliability Engineers (SRE)
- DevOps Engineers
- Open Source Contributors
- eBPF-based profiling
- Flame graph generation
- Prometheus metrics exporter
- Grafana dashboards
- Docker container profiling
- Kubernetes workload profiling
- Continuous performance regression detection
- REST API for remote profiling
Contributions are welcome. Feel free to submit issues, feature requests, performance improvements, or pull requests.
This project is licensed under the MIT License.