Setting Up Stackdriver Logging for Python

You can write logs to Stackdriver Logging from Python applications by using the Python logging handler included with the Stackdriver Logging client library, or by using the client library to access the API directly.

Before you begin

  1. Sign in to your Google Account.

    If you don't already have one, sign up for a new account.

  2. Select or create a GCP project.

    Go to the Manage resources page

  3. Make sure that billing is enabled for your project.

    Learn how to enable billing

  4. Enable the Stackdriver Logging API.

    Enable the API

  5. Prepare your environment for Python development.

    Go to the Python setup guide

Installing the library

To install the Stackdriver Logging library for Python, see Installing the client library.

Once installed, this library includes logging handlers to connect Python's standard logging module to Stackdriver, as well as an API client library to access Stackdriver Logging manually.

Connecting the library to Python logging

To send all log entries to Stackdriver by attaching the Stackdriver Logging handler to the Python root logger, use the setup_logging helper method:

# Imports the Google Cloud client library

# Instantiates a client
client =

# Connects the logger to the root logging handler; by default this captures
# all logs at INFO level and higher

Using the Python root logger

Once the handler is attached, any logs at, by default, INFO level or higher which are emitted in your application will be sent to Stackdriver Logging:

# Imports Python standard library logging
import logging

# The data to log
text = 'Hello, world!'

# Emits the data using the standard logging module

If messages are logged to Stackdriver Logging from App Engine or Kubernetes Engine, the handler will send them to those environments' respective resource types; otherwise, logs will by default appear under the "python" log in the Global resource type.

Configuring the logging handler

To attach the Stackdriver logging handler to only select Python loggers, or to otherwise configure the logging handler, see the API library documentation

For more information on installation, see the documentation for the Stackdriver Logging library for Python. You can also report issues using the issue tracker.

Using the Cloud Client Library directly

For information on using the Stackdriver Logging Cloud client library for Python directly, see Stackdriver Logging Client Libraries.

Running on Google Cloud Platform

Using Stackdriver Logging library for Python requires the Cloud IAM Logs Writer role on Google Cloud Platform. Most Google Cloud Platform environments provide this role by default.

App Engine

Google App Engine grants the Logs Writer role by default.

The Stackdriver Logging library for Python can be used without needing to explicitly provide credentials.

Stackdriver Logging is automatically enabled for App Engine applications. No additional setup is required.

Kubernetes Engine

On Google Kubernetes Engine, you must add the logging.write access scope when creating the cluster:

gcloud container clusters create example-cluster-name --scopes

Compute Engine

When using Google Compute Engine VM instances, add the cloud-platform access scope to each instance. When creating a new instance through the Google Cloud Platform Console, you can do this in the Identity and API access section of the Create Instance panel. Use the Compute Engine default service account or another service account of your choice, and select Allow full access to all Cloud APIs in the Identity and API access section. Whichever service account you select, ensure that it has been granted the Logs Writer role in the IAM & admin section of the GCP Console.

Running locally and elsewhere

To use the Stackdriver Logging library for Python outside of Google Cloud Platform, you must supply your GCP project ID and appropriate service account credentials directly to the Stackdriver Logging library for Python. This applies to running the agent on your own workstation, on your data center's computers, or on the VM instances of another cloud provider. For more information see Obtaining and providing service account credentials manually.

Viewing the logs

After deployment, you can view the logs in the GCP Console Logs Viewer.

Go to the Logs Viewer

For more information, see Viewing Logs.

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