Fairwinds Insights Documentation

# Insights CLI

# About

The Fairwinds Insights Command-Line Interface (opens new window) (CLI) is a command-line tool for interacting with the Fairwinds Insights API. In particular, it makes it easy to manage Insights Policies and Automation Rules as code and validate OPA policies offline.

# Installation

# Homebrew Tap

brew install FairwindsOps/tap/insights

# Binary

Install the binary from our releases (opens new window) page.

# Setup

To start using the Insights CLI, you'll need to retrieve your admin token from your organization's Settings page at insights.fairwinds.com.

Set that token in your environment with:

export FAIRWINDS_TOKEN=$YOUR_ADMIN_TOKEN

# fairwinds-insights.yaml

You can set up a YAML file containing details for the CLI, including your organization name and hostname (required for self hosted deployments):

options:
  organization: acme-co
  hostname: https://insights.example.com

By default, the CLI will look for the file fairwinds-insights.yaml in the current directory, but its location can be configured by passing in the --config <filename> flag.

If the fairwinds-insights.yaml file does not exist, the --organization flag must be used when running the CLI, passing in the name of your organization.

# Syncing

# Policy Configuration

You can use the Insights CLI to manage the configuration of Policies.

Check out the Policy Configuration documentation on use cases for configuring Policies.

insights-cli push settings

# Custom OPA Policies

When pushing OPA policies to Insights, the CLI expects a directory structure like the following:

.
+-- opa
|   +-- policy-name
|       +-- policy.rego
|   +-- second-policy-name
|       +-- policy.rego

The Policy file name must be policy.rego.

Once the files have been created, use the following command to push the OPA policies to Insights:

insights-cli push opa

# Deleting OPA Policies From Insights

By default, the Insights CLI will not delete any OPA policies from Insights. It will only add or update them. This means there might be some OPA policies running in Insights that are not tracked in your Infrastructure-as-Code (IaC) repository.

You can add the --delete flag to the push opa command, which will delete any OPA policies from Insights that do not exist in your IaC repository. Adding the --dry-run flag will explain which Policies would be deleted without making changes to Insights.

# Automation Rules

When pushing Automation Rules to Insights, the CLI expects a directory structure like the following:

.
+-- rules
|   +-- rule-name.yaml
|   +-- second-rule-name.yaml

The file names must have a .yaml extension.

Once the files have been created, use the following command to push the Rules to Insights

insights-cli push rules

# Example

To upload an Automation Rule to Insights, create the file rules/api-action-items.yaml in the rules sub-directory:

name: "Assign API Action Items"
description: "Assigns all Action Items in the api namespace to api-team@acme-co.com"
action: |
  if (ActionItem.ResourceNamespace === 'api') {
    ActionItem.AssigneeEmail = 'api-team@acme-co.com';
  }

# Automation Rule Metadata Fields

The following metadata fields can be specified in the Rule file:

  • name - the name of the Automation Rule in Insights
  • description- the description of the Automation Rule in Insights
  • context - specify Agent, CI/CD, or AdmissionController (leave blank to specify all options)
  • cluster - the name of a specific cluster this Rule should apply to
  • repository - the name of a specific repository this Rule should apply to
  • reportType - the type of report (e.g. polaris, trivy, etc.) this Rule should apply to

# Deleting Automation Rules From Insights

By default, the Insights CLI will not delete any automation rules from Insights. It will only add or update them. This means there might be some Automation Rules running in Insights that are not tracked in your Infrastructure-as-Code (IaC) repository.

You can add the --delete flag to the push rules command, which will delete any Automation Rules from Insights that do not exist in your IaC repository. Adding the --dry-run flag will explain which Rules would be deleted without making changes to Insights.

# App Groups

You can use the Insights CLI to manage the configuration of App Groups.

Check out the App Groups documentation on use cases for configuring App Groups.

insights-cli push app-groups

# Syncing from Fairwinds Insights

If you were managing App Groups via Fairwinds Insights UI. You can download and sync those definitions using the following command:

insights-cli download app-groups

Note that the folder app-groups must exists.

# Adding App Groups

When pushing App Groups to Insights, the CLI expects a directory structure like the following:

.
+-- app-groups
|   +-- app-group.yaml
|   +-- second-app-group.yaml

Once the files have been created, use the following command to push the App Groups to Insights:

insights-cli push app-groups

# Deleting App Groups from Insights

By default, the Insights CLI will not delete any App Groups from Insights. It will only add or update them. This means there might be some App Groups created in Insights that are not tracked in your Infrastructure-as-Code (IaC) repository.

You can add the --delete flag to the push app-groups command, which will delete any App Groups from Insights that do not exist in your IaC repository. Adding the --dry-run flag will explain which App Groups would be deleted without making changes to Insights.

You cannot delete an App Group if they are being referenced by any Policy Mapping. In such cases, you must either update the Policy Mapping to remove the App Group reference or delete the Policy Mapping all together.

# Policy Mappings

You can use the Insights CLI to manage the configuration of Policy Mappings.

Check out the Policy Mappings documentation on use cases for configuring Policy Mappings.

insights-cli push policy-mappings

# Syncing from Fairwinds Insights

If you were managing Policy Mappings via Fairwinds Insights UI. You can download and sync those definitions using the following command:

insights-cli download policy-mappings

Note that the folder policy-mappings must exists.

# Adding Policy Mappings

When pushing Policy Mappings to Insights, the CLI expects a directory structure like the following:

.
+-- policy-mappings
|   +-- policy-mapping.yaml
|   +-- second-policy-mapping.yaml

Once the files have been created, use the following command to push the Policy Mappings to Insights:

insights-cli push policy-mappings

# Deleting Policy Mappings from Insights

By default, the Insights CLI will not delete any Policy Mappings from Insights. It will only add or update them. This means there might be some Policy Mappings created in Insights that are not tracked in your Infrastructure-as-Code (IaC) repository.

You can add the --delete flag to the push policy-mappings command, which will delete any Policy Mappings from Insights that do not exist in your IaC repository. Adding the --dry-run flag will explain which Policy Mappings would be deleted without making changes to Insights.

# Testing

You can use the insights-cli to test your OPA policies and automation rules. This can also be integrated into the CI/CD pipeline for the Infrastructure-as-Code repo containing your Insights configuration.

# Custom OPA Policies

The Insights CLI can validate OPA policies which is useful for local policy development or in your CI/CD workflow. Validation includes:

  • Verifying rego syntax - the query language used by OPA policies
  • Verifying Insights provided functions, such as kubernetes() and insightsinfo(), have the correct number of parameters
  • Displaying optional rego print statements to aide in debugging
  • Showing Policy output, and verifying the syntax of any Insights Action Item
  • Require the OPA policy to succeed or fail in order to pass validation. Configurable via a command-line flag or the extension of the Kubernetes manifest yaml file name

The insights-cli validate opa command requires an OPA policy file, and a Kubernetes manifest file that will be passed as input to the Policy:

insights-cli validate opa -r not-in-namespace/policy.rego -k test-pod.yaml

Run insights-cli validate opa --help for more options when validating Policies.

# Requiring Policy Success or Failure

The --expect-action-item command-line flag configures whether validation expects a policy to output an Insights Action Item. By default, policies are expected to generate a single Action Item to be considered valid. Setting --expect-action-item=false expects Kubernetes manifest files to cause the OPA policy to not output an Action Item.

Alternatively, the extension of the Kubernetes manifest file will determine whether that Policy is expected to produce an Action Item:

  • .success.yaml - the OPA policy is not expected to output an Action Item
  • .failure.yaml - the OPA policy is expected to output an Action Item
  • Any other *.yaml - the expectation is configured by the --expect-action-item command-line flag

When validating OPA policies in batch mode, each Policy can have a mix of the above Kubernetes yaml files, all of which will be used for validation. For example:

.
+-- file.rego
+-- file.yaml
+-- another-policy.rego
+-- another-policy.success.yaml
+-- another-policy.failure.yaml
+-- another-policy.yaml

# Batch Validation of OPA Policies for CI/CD

The --batch-dir option instructs the insights-cli validate opa command to process all .rego files in the specified directory.

When validating Policies using this option, the command expects the following directory structure:

.
+-- file.rego
+-- file.yaml
+-- another-policy.rego
+-- another-policy.yaml

The name of the .rego and .yaml files must match.

Next use the Insights CLI to validate all OPA policies

insights-cli validate opa --batch-directory <directory_path>

# Automation Rules

Before pushing Automation Rules to Insights, you can use the CLI to check if the results will work as expected. For the testing, you will need to create a rule file and action item file. You also have the option to create an expected output file to compare to the actual result.

# Rule file example, default file name is ./rule.js:

if (ActionItem.ReportType === "trivy" && ActionItem.Cluster === "production") {
  ActionItem.Severity = 0.9;
    
  sendHTTPRequest("POST", "https://example.com/callback", {
    headers: {"Content-Type": "application/json"},
    body: JSON.stringify(ActionItem),
  });
}

# Input action item file example, default file name is ./action-item.yaml:

title: Image has vulnerabilities
cluster: production
eventType: image_vulnerability
severity: 0.1
reportType: trivy

The following fields are required for input action item:

  • title
  • eventType
  • severity
  • reportType

When --insights-context is set to Agent or AdmissionController, the field cluster is also required.

When --insights-context is set to CI/CD, the field repository is required.

# Expected output Action Item file example:

severity: 0.9

Only explicitly set values will be matched.

Once the files have been created, use the following command to validate the rule against Insights:

insights-cli validate rule --insights-context  <insights context> {--automation-rule-file <rule file> --action-item-file <action item file>} [--expected-action-item <expected output file> --dry-run]

# Flags:

  • [required] -t, --insights-context string - Insights context: [AdmissionController, Agent or CI/CD]
  • [option] -a, --action-item-file string - Action Item file path (default ./action-item.yaml)
  • [option] -r, --automation-rule-file string - Automation rule JS file path (default ./rule.js)
  • [option] -i, --expected-action-item string - Optional file containing the action item that the automation rule is expected to produce
  • [option] --dry-run - Optional flag to run the rule without executing any external integration (Slack, Jira, PagerDuty, Azure, http requests).

# Example:

insights-cli validate rule --insights-context Agent --automation-rule-file ./rule.js --action-item-file ./action-items.yaml --expected-action-item ./expected-output.yaml --dry-run

If the expected output is provided and the actual result matches, a success message is displayed:

-- Logs --

[info] "edit_action_item" - Action Item modified - ["Severity" was "update" from "0.20" to "0.90"]
[info] [dry-run] "send_http_request" - HTTP request sent to POST @ https://example.com/callback. Got response: 200

-- Diff Resul-

INFO Success - actual response matches expected response

If no expected output is provided the updated action item yaml is displayed:

-- Logs --

[info] "edit_action_item" - Action Item modified - ["Severity" was "update" from "0.20" to "0.90"]
[info] [dry-run] "send_http_request" - HTTP request sent to POST @ https://example.com/callback. Got response: 200

-- Returned Action Item --

title: Image has vulnerabilities
cluster: production
eventType: image_vulnerability
severity: 0.9

# Logs Events

Some actions and function are logged in form of events and will be returned to help debugging the rule execution verification. In the example above, since the action-item was modified by the rule, Fairwinds Insights will generate an edit_action_item log that contains information about the modification that were applied. Below are the supported action and their log events:

  • rule_runtime_error - when the rule JS runtime has errors.
  • edit_action_item - when the action-item is modified.
  • javascript_console_log - the result of console.log usage.
  • send_http_request - when sendHTTPRequest function is triggered.
  • create_pagerduty_incident - when createPagerDutyIncident function is triggered.
  • create_github_ticket - when createTicket is triggered with GitHub provider.
  • create_jira_ticket - when createTicket is triggered with Jira provider.
  • create_azure_devops_ticket - when createTicket is triggered with Azure provider.
  • send_slack_message - when sendSlackNotification is triggered.

When --dry-run is used, external integration will be "mocked" and their events will be marked with a [dry-run] tag.

# Verifying an Automation Rule

Once you've uploaded an Automation Rule, it will be triggered the next time the Insights Agent, CI process or Admission Controller runs.

To be sure the Rule functions correctly, you can manually trigger the Agent by running:

kubectl create job rule-test --from cronjob/$REPORT -n insights-agent

Where $REPORT is polaris, trivy or any other report type you'd like to test.

# Generation

# OPA policies generation powered by OpenAI

With insights-cli, you are able to generate OPA policies powered by OpenAI. Use model gpt-4 and beyond for better results.

NOTICE: The OpenAI integration is available for your convenience. Please be aware that you are using your OpenAI API key and all interaction will be governed by your agreement with OpenAI. Policies are generated in part with OpenAI’s large-scale language-generation model. The generated policy should be reviewed and tested for accuracy and revised in order to obtain the desired outcome. The User is responsible for the accuracy of the policy.

To generate OPA policies powered by OpenAI that blocks anyone from using the default namespace, use the following command:

insights-cli generate opa openai -k $OPENAI_API_KEY -m gpt-4 -p "blocks anyone from using the default namespace"

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