Configure OpenTelemetry logging SDK in a Python application

In the previous tutorial, we learnt about custom metrics in Python. In this tutorial, we will look at how to configure OTel logging SDK in a Python application.

The OpenTelemetry SDK provides a handler that can be used to transport logs to any OTLP-compatible backend. The following code snippets show how to configure the OTel logging SDK in a Python application.

Code Repo

Here’s the code repo for this tutorial: GitHub repo link

Configure the logging SDK

import logging
from opentelemetry._logs import set_logger_provider
from opentelemetry.exporter.otlp.proto.grpc._log_exporter import (
    OTLPLogExporter,
)
from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
from opentelemetry.sdk._logs.export import BatchLogRecordProcessor

logger_provider = LoggerProvider()
set_logger_provider(logger_provider)

exporter = OTLPLogExporter()
logger_provider.add_log_record_processor(BatchLogRecordProcessor(exporter))
handler = LoggingHandler(level=logging.NOTSET, logger_provider=logger_provider)

# Attach OTLP handler to root logger
logging.getLogger().addHandler(handler)

In the above code snippet, a handler is created using the LoggingHandler class. The handler is attached to the root logger using the addHandler() method. The handler receives log records from the logger and sends them to the OTLP backend using the OTLPLogExporter.

See your logs in SigNoz

Go to Logs tab of SigNoz and apply filter for your Flask application service. You will be able to see the logs coming from your application.

Next Steps

In this tutorial, we configured the Python application to send logs to SigNoz using the OpenTelemetry logging SDK.

In the next tutorial, we will see how to customize the metrics stream produced by OpenTelemetry SDK using views.