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Extract alerts configured in different sources (eg: Prometheus Rules, CloudWatch Alarms, etc.)

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Remy-Mollandin-SK5/alert-exporter

 
 

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Alert Exporter

PyPI PyPI - Python Version GitHub repo size PyPI - Status

Installation

Use the package manager pip to install alert-exporter.

pip install alert-exporter

Usage

❯ alert-exporter --help
Extract alerts configured in different sources (eg: Prometheus Rules, CloudWatch Alarms, etc.)

optional arguments:
  -h, --help            show this help message and exit
  --log-level {DEBUG,INFO,WARNING,ERROR}
  -o OUTPUT_FILE, --output-file OUTPUT_FILE
  --jinja-template [JINJA_TEMPLATE]
  -f {markdown,csv,html,yaml}, --format {markdown,csv,html,yaml}
  --prometheus
  --prometheus-filter [JSON]
  --context [CONTEXT]
  --cloudwatch
  --aws-profile AWS_PROFILE
  --aws-region AWS_REGION
                        Specific region to target. Default: Iterate over all regions available.

Multiple sources are available, one or many can be selected

Kubernetes / Prometheus

The current context is used unless you provide the --context flag.

alert-exporter -o minikube.html --prometheus --context minikube

You can filter prometheus rule to match specific labels using the '--prometheus-filters' flag.

alert-exporter -o minikube.html --prometheus --context minikube --prometheus-filters '{"severity": "critical"}'

AWS Cloudwatch

All available regions are parsed unless you provide the --aws-region flag.

You need to be authenticated before using this tool.

alert-exporter -o aws.html --cloudwatch --aws-region eu-west-1 --aws-profile profile

Multiple sources at once

alert-exporter -o combined.html --prometheus --cloudwatch --aws-region eu-west-1

Formats

Predefined formats are provided with this tool:

  • HTML
  • Markdown
  • CSV
  • YAML

You can use a custom format by providing a Jinja2 file with the --jinja-template flag.

HTML output example

HTML output

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

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  • Python 52.2%
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