How can I effectively monitor my Python applications after deployment?
An example of an AI chatbot conversation about monitoring Python apps post-deployment.
How can I effectively monitor my Python applications after deployment?
You can use tools like Prometheus, Grafana, or New Relic to monitor performance and errors in your Python apps.
What specific metrics should I track for my Python applications?
Key metrics include response time, error rates, CPU and memory usage, and request throughput.
Are there any libraries in Python that can help with monitoring?
Yes, libraries like psutil for system monitoring and logging for tracking application logs are very useful.
How can I set up alerts for my application metrics?
You can configure alerting rules in tools like Grafana or use services like PagerDuty to notify you when metrics exceed thresholds.
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