Python OpenTelemetry — Observing and Debugging Your Python Apps
Originally posted in Gethelios.dev Blog — Visit the full article: https://gethelios.dev/blog/opentelemetry-python/
Python tracing and data instumentation based on OpenTelemetry Open Source allows observation, monitoring, debugging and automated testing in a way that is not possible based on traditional methods (E.g. logging via APM platforms).
Understanding what’s wrong in microservices apps is a big challenge for obvious reasons. Telemetry data instrumentation allows visibility into the full context of traces, and advanced visualization allows an instant root cause analysis that lowers MTTR by 90%, by providing the full data, as seen in the screen below:
This article discussed the contribution of OpenTemeletry to microservices architecture and explains how to manually and automatically instrument your Python applications with OpenTelemetry with concrete examples. In order to maximise the efficiency of roubleshooting distributed applications there’s a need for advanced visualization and additional contextual data, that is provided by dev tools that are based on OpenTelemetry. This article explains further.
