Powered by psutil, SIMOOB captures comprehensive system metrics including disk I/O, memory allocation, CPU load, and process management with millisecond precision and zero configuration.
SIMOOB leverages Python's powerful psutil library to access low-level system information across all major operating systems. This cross-platform approach ensures consistent monitoring whether you're running on Linux, Windows, or macOS.
Data is collected every 5 minutes through efficient system calls, ensuring accurate metrics without impacting system performance. All data is timestamped and stored in SQLite for historical analysis.
Track CPU usage across all cores with load averages, frequency scaling, and context switches. Identify bottlenecks and optimize workload distribution.
Monitor RAM usage, swap activity, and memory allocation patterns. Get alerts when memory pressure reaches critical thresholds.
Track read/write operations, throughput, and disk utilization. Monitor filesystem usage and identify I/O-intensive processes.
View all running processes with CPU and memory consumption. Track process lifecycle and resource usage over time.
Every metric is stored in a highly optimized SQLite time-series database, providing 30 days of historical data for trend analysis and capacity planning. The lightweight design ensures minimal storage overhead while maintaining query performance.
Fast aggregation queries allow you to analyze system behavior over time, identify patterns, and make data-driven infrastructure decisions with confidence.
Cross-platform system monitoring library
Efficient time-series storage
Interactive data visualizations
High-performance API backend
Get complete visibility into system performance with SIMOOB's powerful analytics