This directory contains samples for Stackdriver Logging. Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services.
This sample requires you to have authentication setup. Refer to the Authentication Getting Started Guide for instructions on setting up credentials for applications.
Install pip and virtualenv if you do not already have them.
Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
$ virtualenv env $ source env/bin/activateInstall the dependencies needed to run the samples.
$ pip install -r requirements.txt
To run this sample:
$ python quickstart.py
To run this sample:
$ python snippets.py
usage: snippets.py [-h] logger_name {list,write,delete} ...
This application demonstrates how to perform basic operations on logs and
log entries with Stackdriver Logging.
For more information, see the README.md under /logging and the
documentation at https://cloud.google.com/logging/docs.
positional arguments:
logger_name Logger name
{list,write,delete}
list Lists the most recent entries for a given logger.
write Writes log entries to the given logger.
delete Deletes a logger and all its entries. Note that a
deletion can take several minutes to take effect.
optional arguments:
-h, --help show this help message and exitTo run this sample:
$ python export.py
usage: export.py [-h] {list,create,update,delete} ...
positional arguments:
{list,create,update,delete}
list Lists all sinks.
create Lists all sinks.
update Changes a sink's filter. The filter determines which
logs this sink matches and will be exported to the
destination. For example a filter of 'severity>=INFO'
will send all logs that have a severity of INFO or
greater to the destination. See https://cloud.google.c
om/logging/docs/view/advanced_filters for more filter
information.
delete Deletes a sink.
optional arguments:
-h, --help show this help message and exitThis sample uses the Google Cloud Client Library for Python. You can read the documentation for more details on API usage and use GitHub to browse the source and report issues.