This project is an extension for the Chaos Toolkit to target Humio.
This package requires Python 3.7+
To be used from your experiment, this package must be installed in the Python environment where chaostoolkit already lives.
$ pip install -U chaostoolkit-humio
To use this extension, you will need one piece of information from Humio, the API token for a user.
This extension can be used a control on the experiment or a notification plugin of the Chaos Toolkit CLI itself. Usually, only one of these two methods is used at any given time as they serve similar purpose but feel free to combine them. The control approach is deeper because it logs down to the activity whereas notifications are much higher level.
This extension can also be used as a probe to fetch information from Humio.
To use this extension as a probe as part of your experiment, use it as follows:
{
"configuration": {
"humio_url": {
"type": "env",
"key": "HUMIO_URL",
"default": "https://cloud.humio.com"
},
"humio_repository": {
"type": "env",
"key": "HUMIO_REPOSITORY",
"default": "sandbox"
}
},
"secrets": {
"humio": {
"token": {
"type": "env",
"key": "HUMIO_TOKEN"
}
}
},
"steady-state-hypothesis": {
"title": "Running experiment",
"probes": [
{
"name": "run-humio-search-query",
"type": "probe",
"provider": {
"type": "python",
"module": "chaoshumio.probes",
"func": "search_query",
"secrets": [
"humio"
],
"arguments": {
"qs": "count(as=_count)",
"start": "24hours",
"end": "now"
}
},
"tolerance": {
"name": "humio-query-result-value-greater-than",
"type": "probe",
"provider": {
"type": "python",
"module": "chaoshumio.tolerances",
"func": "field_value_above",
"arguments": {
"field": "_count",
"lower": 1
}
}
}
}
]
}
}
In this example, we are using the search_query
probe and validate it with
a specific tolerance that can inspect the returned payload from Humio and
ensure each value matches the required expectations.
To use this extension to push notifications, edit your chaostoolkit settings by adding the following payload:
notifications:
-
type: plugin
module: chaoshumio.notification
humio_url: https://myhumio.company.com
token: my-token
By default all events will be forwarded to that channel. You may filter only those events you care for:
notifications:
-
type: plugin
module: chaoshumio.notification
humio_url: https://myhumio.company.com
token: my-token
events:
- run-failed
- run-started
Only sends those two events.
To use this extension as a control over the experiment and send logs during
the execution of the experiment to https://cloud.humio.com
, add the following
payload to your experiment:
{
"secrets": {
"humio": {
"ingest_token": {
"type": "env",
"key": "HUMIO_INGEST_TOKEN"
}
}
},
"controls": [
{
"name": "humio-logger",
"provider": {
"type": "python",
"module": "chaoshumio.control"
}
}
]
}
You do not need to set the secrets
property in the provider
block. In a
control, all secrets are passed directly to each control asking for it.
If you want to send logs to a different Humio URL endpoint, specify the
humio_url
configuration parameter. The following shows how this parameter:
{
"secrets": {
"humio": {
"ingest_token": {
"type": "env",
"key": "HUMIO_INGEST_TOKEN"
}
}
},
"configuration": {
"humio_url": "https://myhumio.company.com"
},
"controls": [
{
"name": "humio-logger",
"provider": {
"type": "python",
"module": "chaoshumio.control"
}
}
]
}
This will ensure the results of the experiment, steady-state, method, rollbacks and each activity are sent to Humio. The experiment itself will also be send initially.
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.
The Chaos Toolkit projects require all contributors must sign a Developer Certificate of Origin on each commit they would like to merge into the master branch of the repository. Please, make sure you can abide by the rules of the DCO before submitting a PR.
If you wish to develop on this project, make sure to install the development dependencies. But first, create a virtual environment and then install those dependencies.
$ pip install .[dev]
Then, point your environment to this directory:
$ pip install -e .
Now, you can edit the files and they will be automatically be seen by your
environment, even when running from the chaos
command locally.
To run the tests for the project execute the following:
$ pytest
Ensure your code is properly linted:
$ make format
$ make lint