ChaosToolkit Terraform

A Chaos Toolkit driver to extend chaos experiments with Terraform

Package Installation

From Python package index

To install the latest chaostoolkit-terraform stable release:

pip install -U chaostoolkit-terraform

Edge version from the GitHub repository

To install the edge version of the chaostoolkit-terraform package directly from the repository source code:

pip install -U "git+https://github.com/mcastellin/chaostoolkit-terraform.git#egg=chaostoolkit-terraform"

Usage

chaostoolkit-terraform provides a control to deploy Terraform modules. The control will automatically create the resources defined in the Terraform stack before experiment execution and destroy them once the experiment is completed.

To activate the chaosterraform.control for your experiments you need to define it in your experiment files (or settings):

title: My experiment
description: ...

controls:
  - name: "Deploy Terraform module"
    provider:
      type: python
      module: chaosterraform.control

steady-state-hypothesis: {...}

method: []

By default the chaosterraform.control will reference the Terraform module found in the current working directory.

The control will execute Terraform command in the following phases of the experiment execution:

Configuration

You can configure the Terraform control either via control arguments or using Chaos Toolkit parameters with the tf_conf__ prefix:

Configuration with control arguments

controls:
  - name: "Deploy Terraform module"
    provider:
      type: python
      module: chaosterraform.control
      arguments:
        silent: false
        retain: true

Configuration using Chaos Toolkit parameters

configuration:
# parameters prefixed with `tf_conf__` will configure chaosterraform driver
  tf_conf__silent: false
  tf_conf__retain: true

controls:
  - name: "Deploy Terraform module"
    provider:
      type: python
      module: chaosterraform.control

When both options are provided configuration parameters supplied via the experiment configuration will be used.

Provide Input Variables for Terraform

You can override input variables defined in the Terraform module from within the experiment using the variables argument for the control:

controls:
  - name: "Deploy Terraform module"
    provider:
      type: python
      module: chaosterraform.control
      arguments:
        variables:
          vpc_id: "vpc-0000000000"
          number_of_azs: 2

Alternatively, you can provide input variables from Chaos Toolkit configuration by referencing a parameter name already defined in Chaos Toolkit configuration:

configuration:
  env_name: "live"
  ...

controls:
  - name: "Deploy Terraform module"
    provider:
      type: python
      module: chaosterraform.control
      arguments:
        variables:
          environment:
            name: "env_name"

Use Terraform Outputs In Chaos Experiments

If your Terraform module exports some output variables you can use them in the Chaos Toolkit experiments as regular experiment parameters. Such variables are added to the configuration context with the tf_out__ prefix.

For example, this Terraform module exports a load balancer DNS name:

terraform {
    ...
}

output "alb_dns_name" {
    value = aws_lb.application_lb.dns_name
}

We can use the exported DNS name in our chaos experiment like so:

controls:
  - name: "Deploy Terraform module"
    provider:
      type: python
      module: chaosterraform.control

steady-state-hypothesis:
  title: "Application is available"
  probes:
    - type: probe
      name: "should-respond-200"
      tolerance: 200
      provider:
        type: http
        url: "http://${tf_out__alb_dns_name}"
        method: "GET"
        timeout: 3

In addition, we can ask the chaosterraform.control to map Terraform output values to new Chaos Toolkit configuration variables or override existing ones using the outputs argument:

controls:
  - name: "Deploy Terraform module"
    provider:
      type: python
      module: chaosterraform.control
      arguments:
        outputs:
            alb_dns_name: "application_dns_name"

In the example above, the control will map the output value alb_dns_name into a new Chaos Toolkit configuration application_dns_name that can be referenced in the experiment template using the ${application_dns_name} notation.