DjangoCon 2022 | Observe!

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Configure logging to gather actionable insights, visualize performance, and optimize application behavior by using structured logging, APM tools, and monitoring visualizations.

Key takeaways

Configure logging to log data in a structured format such as JSON to enable easier analysis and visualization of log data.
Use tools like struct log to log transaction data, including metadata about the request and response.
Annotate transactions with metadata such as user ID, author, and timestamp to enable meaningful analysis of log data.
Use APM (Application Performance Monitoring) tools like Elastic APM or Sentry to provide visibility into the performance of your application.
Instrument your code to monitor its behavior and usage, including monitoring database queries and API calls.
Use monitoring tools like Prometheus and Grafana to visualize and alert on key metrics, such as request latency and error rates.
Consider using a serverless architecture to simplify monitoring and logging, as it eliminates the need to manage infrastructure.
Use logging to identify performance bottlenecks and optimize the application for better performance.
Use visualization tools like Splunk to analyze and visualize log data and provide insights into application behavior.

DjangoCon 2022 | Observe!

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