cloudwatch
A small handler for AWS Cloudwatch
Decision gist · record as of 2026-08-14
Yes, if you need to send Python logs to CloudWatch from non-AWS infrastructure or want explicit control over log routing. The package is stable, has no vulnerabilities, and integrates cleanly with Python's logging module. However, note that maintenance is dormant (last commit 2023-11-09); if you require active support or compatibility with future boto3 versions, verify that it still works in your environment before committing to it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires valid AWS credentials (via CLI config, environment, or explicit parameters) and network access to AWS CloudWatch; boto3 must be installed.
- Low install friction with a single runtime dependency (boto3).
- Maintenance is dormant—last commit was 2023-11-09, over a year ago—but the package is marked Production/Stable and has no known vulnerabilities, suggesting it is mature and unlikely to require frequent updates for its narrow scope.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute this package freely with minimal restrictions.
last release 2023-09-01 (1078 days) · last repo commit 2023-11-09 · 9 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 534,281 downloads/mo, #6,135 on PyPI
Alternatives
Verify before relying
pip install cloudwatch
import logging
from cloudwatch import cloudwatch
logger = logging.getLogger('my_logger')
handler = cloudwatch.CloudwatchHandler(log_group='my_log_group')
logger.addHandler(handler)
logger.warning('Watch out! Something happened!')- Whether the package works reliably with modern boto3 versions given the dormant maintenance status.
- Performance characteristics when handling high-volume logging or large messages across multiple processes.
What it is and what it does
This package provides a lightweight Python logging handler that routes log messages to AWS CloudWatch. It wraps boto3 to integrate with Python's standard logging module, so you can add it as a handler to an existing logger without rewriting your logging code. The handler supports custom AWS credentials and regions, automatic log group and stream creation, and three strategies for handling oversized messages (error, truncate, or split) since CloudWatch has a 256 KB event size limit.
It is designed for scenarios where you want to centralize logs from infrastructure outside AWS (dedicated servers, on-premises systems) or where you want to separate logs from AWS-managed services like Lambda or ECS that already log automatically. You configure it once at logger creation time, then use Python's standard logging calls as usual.
Use it for
- Send logs from on-premises or non-AWS servers to CloudWatch for centralized monitoring and analysis.
- Separate application logs from infrastructure logs in Lambda or ECS by explicitly routing to a custom log group.
- Integrate CloudWatch logging into an existing Python codebase with minimal changes to logging setup code.
- Handle large log messages by automatically truncating or splitting them to fit CloudWatch's 256 KB event limit.
- Use custom AWS credentials for logging when the default environment credentials are not suitable.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to send Python logs to CloudWatch from non-AWS infrastructure or want explicit control over log routing.
The package is stable, has no vulnerabilities, and integrates cleanly with Python's logging module. However, note that maintenance is dormant (last commit 2023-11-09); if you require active support or compatibility with future boto3 versions, verify that it still works in your environment before committing to it.
Install
cloudwatch on PyPI
Before you install
Low install friction with a single runtime dependency (boto3). Maintenance is dormant—last commit was 2023-11-09, over a year ago—but the package is marked Production/Stable and has no known vulnerabilities, suggesting it is mature and unlikely to require frequent updates for its narrow scope.
Requires valid AWS credentials (via CLI config, environment, or explicit parameters) and network access to AWS CloudWatch; boto3 must be installed.
License in practice
Licensed under MIT (permissive), so you can use, modify, and distribute this package freely with minimal restrictions.
Quickstart
pip install cloudwatch
import logging
from cloudwatch import cloudwatch
logger = logging.getLogger('my_logger')
handler = cloudwatch.CloudwatchHandler(log_group='my_log_group')
logger.addHandler(handler)
logger.warning('Watch out! Something happened!')Verify before relying
- Whether the package works reliably with modern boto3 versions given the dormant maintenance status.
- Performance characteristics when handling high-volume logging or large messages across multiple processes.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.5 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageboto3 |
| Maintenance | Dormant 1,078 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 534,281 / month, #6,135 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 :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Utilities |
Evidence: cloudwatch-1.2.1-py3-none-any.whl
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See also fluent-logger · watchtower · coralogix-logger · lambda-warmer-py · aws-embedded-metrics · aws-cdk.aws-logs · awslogs · aws-logging-handlers · splunk-handler · json-logging