What methods are used to monitor and evaluate the stability of an application during its operation?

The following methods are commonly used for monitoring and assessing application stability:

• Error and exception logging: collecting and analyzing logs helps identify failures and their causes.
• Performance monitoring: measuring response times, memory usage, and CPU.
• Using APM (Application Performance Monitoring) tools: such as New Relic, Datadog, Sentry, which allow real-time tracking of errors, failures, and performance.
• Application health metrics: checking service availability, API responses.
• Resilience testing: load testing and stress testing.

In Python, libraries like logging are often used for logs, integration with Sentry for exception tracking, and system monitoring tools (Prometheus, Grafana) for metrics.