Chaos Toolkit Extension For Datadog

This project contains Chaos Toolkit activities and tolerances to work with DataDog.

Install

This package requires Python 3.8+

To be used from your experiment, this package must be installed in the Python environment where chaostoolkit already lives.

$ pip install chaostoolkit-datadog

Usage

A typical experiment using this extension would look like this:

{
    "version": "1.0.0",
    "title": "Run a, experiment using a DataDog SLO to verify our system",
    "description": "n/a",
    "configuration": {
        "datadog_host": "https://datadoghq.eu"
    },
    "steady-state-hypothesis": {
        "title": "n/a",
        "probes": [
            {
                "type": "probe",
                "name": "read-slo",
                "tolerance": {
                    "type": "probe",
                    "name": "check-slo",
                    "provider": {
                        "type": "python",
                        "module": "chaosdatadog.slo.tolerances",
                        "func": "slo_must_be_met",
                        "arguments": {
                            "threshold": "7d"
                        }
                    }
                },
                "provider": {
                    "type": "python",
                    "module": "chaosdatadog.slo.probes",
                    "func": "get_slo",
                    "arguments": {
                        "slo_id": "..."
                    }
                }
            }
        ]
    },
    "method": []
}

That's it!

Please explore the code to see existing probes and actions.

Configuration

In the configuration block you may want to specify the DataDog host you are targetting:

    "configuration": {
        "datadog_host": "https://datadoghq.eu"
    },

The authentication can be set using the typical DataDog environment variables, notably:

• DD_API_KEY: the API key
• DD_APP_KEY: the application key

Test

To run the tests for the project execute the following:

$ pdm run test

Formatting and Linting

We use ruff to both lint and format this repositories code.

Before raising a Pull Request, we recommend you run formatting against your code with:

$ pdm run format

This will automatically format any code that doesn't adhere to the formatting standards.

As some things are not picked up by the formatting, we also recommend you run:

$ pdm run lint

To ensure that any unused import statements/strings that are too long, etc. are also picked up.

Contribute

If you wish to contribute more functions to this package, you are more than welcome to do so. Please, fork this project, make your changes following the usual PEP 8 code style, sprinkling with tests and submit a PR for review.