Python

Application Observability

Automatically detect your Python applications across every tier and diagnose anomalies with Davis AI to determine the root cause down to the broken code. End-to-end service observability combined with code-level insights and exception analysis will help you ensure the robustness of your production environment.

Infrastructure Observability

Observe the health and availability of your Python processes and identify Python garbage collection bottlenecks across all generations and thread misbehavior. 

Vulnerability Analytics

Automatically detect Python runtime and third-party vulnerabilities in your Python applications, quickly assess their impact on your monitored environment, and prioritize remediation efforts. Quickly assess the impact of a vulnerability on your apps.

• A practical guide to monitoring Python applications with Dynatrace

To enable Python monitoring:

• Go to Settings > Monitoring > Monitoring technologies.
• Find Python and enable Monitor Python.

For Infrastructure monitoring:

• Ensure Python monitoring is enabled (see above).
• Create a process monitoring rule to enable deep monitoring of the selected processes.

For Application Monitoring:

• Ensure Python monitoring is enabled (see above).
• Go to Settings > Preferences > OneAgent features, find and enable all Python sensors of interest, as well as software component reporting, and then restart your processes.

For Vulnerability Detection:

• Ensure Python monitoring is enabled (see above).
• Go to Settings > Application Security > Vulnerability Analytics > General settings, and then enable Python.