Autoinstrumentation of Python FastAPI with OpenTelemetry
In this video I demonstrate how to autoinstrument a Python-based FastAPI application with OpenTelemetry in 2 lines of code, using auto instrumentation.
In this video I demonstrate how to autoinstrument a Python-based FastAPI application with OpenTelemetry in 2 lines of code, using auto instrumentation.
In this video I get hands-on with the OpenTelemetry filelog receiver and send the data into OpenObserve.
Here's how to use Python in Redis in under 4 minutes. This video will get you started with the very basics of working with Redis in Python. You'll also see cache busting techniques (aka automated removal of values from Redis after a set amount of time).
In the third episode of the series, the spans are sent from Python to Jaeger via an OpenTelemetry collector.
In the second of the series, the spans are enriched with useful metadata: Setting the span status, adding span attributes and span events.
In this post, you will take your first steps to manually instrumenting a Python application using OpenTelemetry.
I expand a previous tutorial, adding OpenTelemetry tracing both automatically and manually.
Last week I wrote my first API in Python and I thought I'd share my learnings. FastAPI is a brilliantly easy-to-use framework. Here's how to create an API in under 6 minutes.
Here is how I fixed the Invalid dylib load. Clients should not load the unversioned libcrypto dylib as it does not have a stable ABI
error on MacOS.