Junior — Middle
What tools for Application Performance Monitoring do you know and have used in practice?
sobes.tech AI
Answer from AI
For application performance monitoring (APM) in Python, the following tools are often used:
- New Relic: a powerful cloud service for application monitoring, supports Python, allows tracking response times, errors, and load.
- Datadog APM: integrates with Python applications, collects metrics, traces, and logs.
- Elastic APM: part of Elastic Stack, allows collecting and visualizing performance data.
- Prometheus + Grafana: although primarily a monitoring and visualization system, exporters can be used to collect metrics from Python applications.
- Sentry Performance Monitoring: besides error tracking, supports performance monitoring.
In practice, APM is often combined with logging and metrics for comprehensive analysis. For example, in one project, I used New Relic to monitor response times of a web service and identify bottlenecks in the database.