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Python CloudWatch Logging

Project description

Watchtower: Python CloudWatch Logging
Watchtower is a log handler for `Amazon Web Services CloudWatch Logs

CloudWatch Logs is a log management service built into AWS. It is conceptually similar to services like Splunk and
Loggly, but is more lightweight, cheaper, and tightly integrated with the rest of AWS.

Watchtower, in turn, is a lightweight adapter between the `Python logging system
<>`_ and CloudWatch Logs. It uses the `boto3 AWS SDK
<>`_, and lets you plug your application logging directly into CloudWatch without the need
to install a system-wide log collector. It aggregates logs into batches to avoid sending an API request per each log
message, while guaranteeing a delivery deadline (60 seconds by default).


pip install watchtower

Install `awscli <>`_ and set your AWS credentials (run ``aws configure``).

.. code-block:: python

import watchtower, logging
logger = logging.getLogger(__name__)
logger.addHandler(watchtower.CloudWatchLogHandler())"Hi")"bar", details={}))

After running the example, you can see the log output in your `AWS console

Example: Flask logging with Watchtower

.. code-block:: python

import watchtower, flask, logging

app = flask.Flask("loggable")
handler = watchtower.CloudWatchLogHandler()

def hello_world():
return 'Hello World!'

if __name__ == '__main__':

(See also ` <>`_.)

Examples: Querying CloudWatch logs
This section is not specific to Watchtower. It demonstrates the use of `awscli <>`_ and
`jq <>`_ to read and search CloudWatch logs on the command line.

For the Flask example above, you can retrieve your application logs with the following two commands::

aws logs get-log-events --log-group-name watchtower --log-stream-name loggable | jq '.events[].message'
aws logs get-log-events --log-group-name watchtower --log-stream-name werkzeug | jq '.events[].message'

CloudWatch Logs supports alerting and dashboards based on `metric filters
<>`_, which are pattern
rules that extract information from your logs and feed it to alarms and dashboard graphs. The following example shows
logging structured JSON data using Watchtower, setting up a metric filter to extract data from the log stream, a dashboard to
visualize it, and an alarm that sends an email::


* Andrey Kislyuk

* `Project home page (GitHub) <>`_
* `Documentation (Read the Docs) <>`_
* `Package distribution (PyPI) <>`_
* `Amazon CloudWatch <>`_

Please report bugs, issues, feature requests, etc. on `GitHub <>`_.

Licensed under the terms of the `Apache License, Version 2.0 <>`_.

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