What approaches and tools are used to monitor system status and performance?

To monitor the system's status and performance in Python projects, the following approaches and tools were used:

• Logging: using the logging module to record events and errors.
• Performance monitoring: integration with monitoring systems, such as Prometheus with exporters for Python applications.
• Profiling: using cProfile and line_profiler to analyze bottlenecks in the code.
• Metrics: collecting metrics with libraries like prometheus_client for exporting custom metrics.
• Tracing: applying OpenTracing or Jaeger for distributed request tracing.

An example of simple logging setup:

import logging

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logging.info('System started')

This approach allows for quick identification of issues and monitoring the application's state.