Tell us about your experience with logging systems and log analysis

In my practice, I have used logging systems to monitor application performance and identify errors. For example, in Python projects, I used the logging library to record events with different levels of importance (DEBUG, INFO, ERROR). For log analysis, I used tools like the ELK Stack (Elasticsearch, Logstash, Kibana), which allowed centralized collection of logs from various services and visualization for quick problem detection.

An example of setting up a simple logger in Python:

import logging

logging.basicConfig(level=logging.INFO, filename='app.log', format='%(asctime)s - %(levelname)s - %(message)s')
logging.info('Application started')
logging.error('An error occurred')

This approach helps quickly respond to failures and improve product quality.