watchtower
Python CloudWatch Logging
Install
watchtower on PyPI
pip
pip install watchtoweruv
uv add watchtowerpoetry
poetry add watchtowerPackage facts
| License | Apache Software License (permissive) |
| Python support | supports the current Python release (>=3.8) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 1 — boto3 |
| Maintenance | aging — 534 days since the last release |
| Last repo commit | |
| First released | |
| Popularity | one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-13) |
Evidence: watchtower-3.4.0-py3-none-any.whl
About watchtower
from the package's own PyPI description — quoted content, verbatim
Watchtower: Python CloudWatch Logging
Watchtower is a log handler for Amazon Web Services CloudWatch Logs
<https://aws.amazon.com/blogs/aws/cloudwatch-log-service/>_.
CloudWatch Logs is a log management service built into AWS. It is conceptually similar to services like Splunk, Datadog, 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
<https://docs.python.org/library/logging.html> and CloudWatch Logs. It uses the boto3 AWS SDK
<https://github.com/boto/boto3>, and lets you plug your application logging directly into CloudWatch without the need
to install a system-wide log collector like awscli-cwlogs <https://pypi.python.org/pypi/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 <https://pypi.python.org/pypi/awscli>_ and set your AWS credentials...
Read as markdown · JSON record · Source repository · Homepage · Docs
AI interpretation — verify before relying
AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page
Watchtower is a Python logging handler that sends application logs directly to AWS CloudWatch Logs, aggregating them into batches to minimize API calls while guaranteeing delivery within a configurable deadline.
Watchtower has low install friction with only boto3 as a runtime dependency. The package is in production/stable status and actively maintained, with the last commit on 2025-11-24. However, it has aged 534 days since its last release, so while functional, newer features or fixes may be pending.
Watchtower is licensed under the Apache Software License, a permissive open-source license that allows commercial use, modification, and distribution with minimal restrictions, making it safe for most production environments.
Usage
pip install watchtower
import watchtower, logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.addHandler(watchtower.CloudWatchLogHandler())
logger.info("Hi")
AWS credentials must be configured (via aws configure, IAM role, or environment variables) and the process must have IAM permissions for CloudWatch Logs API calls (e.g., arn:aws:iam::aws:policy/AWSOpsWorksCloudWatchLogs).
Verdict: Watchtower is a stable, low-friction adapter for sending Python application logs to AWS CloudWatch. It has no known vulnerabilities, supports Python 3.8–3.13, and integrates cleanly with the standard logging module. The 534-day gap since last release suggests maintenance may be infrequent, but the package remains functional and well-suited for AWS-native deployments.
Needs verification
- Whether the 534-day release gap reflects active maintenance or dormancy beyond what the last commit date indicates.
- Performance characteristics and log delivery guarantees under high-volume logging scenarios.
- Compatibility edge cases with threading or async logging frameworks beyond the Django debug server caveat mentioned.
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