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opentelemetry-python-contrib reviews and mentions
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OpenTelemetry for Python: The Hard Way
In my last blog post, I showed y’all how to instrument Python code with OpenTelemetry (OTel), à la auto-instrumentation. You may also recall from that post that I recommended using the Python auto-instrumentation binary even for non-auto-instrumented libraries, because it abstracts all that pesky OTel config stuff so nicely. When you use it, along with any applicable Python auto-instrumentation libraries (installed courtesy of opentelemetry-bootstrap), it takes care of context propagation across related services for you.
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Auto-Instrumentation Is Magic: Using OpenTelemetry Python with Lightstep
More specifically, auto-instrumentation uses shims or bytecode instrumentation agents to intercept your code at runtime or at compile-time to add tracing and metrics instrumentation to the libraries and frameworks you depend on. The beauty of auto-instrumentation is that it requires a minimum amount of effort. Sit back, relax, and enjoy the show. A number of popular Python libraries are auto-instrumented, including Flask and Django. You can find the full list here.
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Do i really want to mess with OpenTelemetry, or just hook straight into Datadog
And sure, there's gaps and those are awful when you get to them. But writing minimal tracing integration is pretty easy. This is the full source of the psycopg2 instrumentation. https://github.com/open-telemetry/opentelemetry-python-contrib/blob/main/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/__init__.py
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 May 2024
Stats
open-telemetry/opentelemetry-python-contrib is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of opentelemetry-python-contrib is Python.
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