The Temporal Python SDK enables you to run Workflow code in a sandbox environment to help prevent non-determinism errors in your application. The Temporal Workflow Sandbox for Python is not completely isolated, and some libraries can internally mutate state, which can result in breaking determinism.
Temporal Cloud and SDKs emit metrics that can be used to monitor performance and troubleshoot errors.
Temporal Cloud emits metrics through a Prometheus HTTP API endpoint which can be directly used as a Prometheus data source in Grafana or to query and export Cloud metrics to any observability platform.