watchtower
Python CloudWatch Logging
Decision gist · record as of 2026-08-14
Yes. Watchtower is production-stable, actively maintained, has no known vulnerabilities, and solves a common problem for AWS-based Python applications. The single dependency (boto3) is standard for AWS work. Install it if you run Python applications on AWS and want CloudWatch as your logging backend without operational overhead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- AWS credentials must be configured (via aws configure, environment variables, or IAM role).
- The process needs IAM permissions for CloudWatch Logs API calls (e.g., logs:CreateLogGroup, logs:CreateLogStream, logs:PutLogEvents).
- Low install friction with a single runtime dependency (boto3).
License · maintenance · safety
Apache Software License (permissive) — Licensed under Apache Software License (permissive). You can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-02-25 (535 days) · last repo commit 2025-11-24 · 821 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 26,060,904 downloads/mo, #891 on PyPI
Alternatives
Verify before relying
pip install watchtower
import watchtower, logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.addHandler(watchtower.CloudWatchLogHandler())
logger.info("Hi")- Whether the 60-second delivery deadline guarantee applies to all configurations or only the default setup
- Performance characteristics when handling high-volume logging scenarios
- Behavior and recovery mechanisms when CloudWatch API is temporarily unavailable
What it is and what it does
Watchtower bridges Python's standard logging system and AWS CloudWatch Logs. Instead of routing logs through syslog or a separate collector, it acts as a lightweight handler that batches log messages and sends them directly to CloudWatch via the boto3 AWS SDK. This approach avoids per-message API overhead by aggregating logs into batches with a configurable delivery deadline (60 seconds by default).
The package is designed for applications running on AWS infrastructure—EC2 instances, Lambda, containers, or anywhere with AWS credentials available. It integrates seamlessly with popular frameworks like Flask and Django through their logging configuration systems, and supports log group tagging for better organization in CloudWatch.
Use it for
- Send application logs from an EC2 instance or container to CloudWatch without installing awscli-cwlogs or a system-wide log collector
- Centralize Flask or Django application logs in CloudWatch for monitoring and debugging across multiple instances
- Tag and organize log groups in CloudWatch directly from your Python application during initialization
- Aggregate logs from multiple loggers (e.g., application + framework logs) into a single CloudWatch stream with configurable verbosity
- Query and analyze application logs using CloudWatch's native query language and dashboards instead of managing separate log storage
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Watchtower is production-stable, actively maintained, has no known vulnerabilities, and solves a common problem for AWS-based Python applications. The single dependency (boto3) is standard for AWS work. Install it if you run Python applications on AWS and want CloudWatch as your logging backend without operational overhead.
Install
watchtower on PyPI
Before you install
Low install friction with a single runtime dependency (boto3). The package is in Production/Stable status and actively maintained, with the last commit on 2025-11-24. It supports modern Python versions from 3.8 onwards.
AWS credentials must be configured (via aws configure, environment variables, or IAM role). The process needs IAM permissions for CloudWatch Logs API calls (e.g., logs:CreateLogGroup, logs:CreateLogStream, logs:PutLogEvents).
License in practice
Licensed under Apache Software License (permissive). You can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install watchtower
import watchtower, logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.addHandler(watchtower.CloudWatchLogHandler())
logger.info("Hi")Verify before relying
- Whether the 60-second delivery deadline guarantee applies to all configurations or only the default setup
- Performance characteristics when handling high-volume logging scenarios
- Behavior and recovery mechanisms when CloudWatch API is temporarily unavailable
Package facts
| License | Apache Software License permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageboto3 |
| Maintenance | Aging 535 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 26,060,904 / month, #891 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOS :: MacOS XOperating System :: POSIXProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software DevelopmentTopic :: Software Development :: Libraries :: Python Modules |
Evidence: watchtower-3.4.0-py3-none-any.whl
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See also awslogs · cloudwatch · aws-embedded-metrics · awslabs.cloudwatch-mcp-server · aws-cdk.aws-logs · awsme · json-logging · boto · splunk-handler · python3-logstash