This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Python CloudWatch Logging

Project Description

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 like awscli-cwlogs and round-trip your logs through the instance’s syslog. It aggregates logs into batches to avoid sending an API request per each log message, while guaranteeing a delivery deadline (60 seconds by default).

Installation

pip install watchtower

Synopsis

Install awscli and set your AWS credentials (run aws configure).

import watchtower, logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.addHandler(watchtower.CloudWatchLogHandler())
logger.info("Hi")
logger.info(dict(foo="bar", details={}))

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

Example: Flask logging with Watchtower

import watchtower, flask, logging

logging.basicConfig(level=logging.INFO)
app = flask.Flask("loggable")
handler = watchtower.CloudWatchLogHandler()
app.logger.addHandler(handler)
logging.getLogger("werkzeug").addHandler(handler)

@app.route('/')
def hello_world():
    return 'Hello World!'

if __name__ == '__main__':
    app.run()

(See also http://flask.pocoo.org/docs/errorhandling/.)

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:

TODO

Authors

  • Andrey Kislyuk

Bugs

Please report bugs, issues, feature requests, etc. on GitHub.

License

Licensed under the terms of the Apache License, Version 2.0.

Release History

Release History

This version
History Node

0.3.6

History Node

0.3.5

History Node

0.3.3

History Node

0.2.0

History Node

0.1.8

History Node

0.1.7

History Node

0.1.6

History Node

0.1.5

History Node

0.1.4

History Node

0.1.3

History Node

0.1.2

History Node

0.1.1

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
watchtower-0.3.6-py2.py3-none-any.whl (8.6 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Apr 5, 2017
watchtower-0.3.6.tar.gz (6.6 kB) Copy SHA256 Checksum SHA256 Source Apr 5, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting