Fairwinds Insights Documentation

# Policies

# About

Fairwinds Insights comes with over 100 built-in polices that can be used to audit or block resources in your Kubernetes environment or Infrastructure-as-Code. You can also create your own custom policies using Open Policy Agent's (OPA) Rego language.

# Configuration

Policy configuration provides a way to globally set default values for any Policies used by any of the Report Tools in Insights. These settings make it easy to customize Insights for common policy scenarios without having to first write Automation Rules.

Policy configuration can be used to:

  • Customize the default Policy Enforcement behavior for CI/CD and Admission Controller contexts: For example, ensure workloads with Privilege escalation should not be allowed are blocked by the Admission Controller at time of deployment, but only warn users through Action Items when they scan their infrastructure-as-code in a repository scan

  • Always guarantee a certain Policy enforcement action (pass or fail) regardless of Action Item severity: For example, enforce Memory requests are set at time of Admission across your organization, while reporting it as a Medium severity Action Item

  • Modify default Severities: Globally modify the default Severity of Action Items to better match your organization's requirements. For example, you may want to increase the severity of Liveness probes are missing to High

With the Policy Configuration, you can now override the default settings of a Policy generated by any of the tools in Insights:

Policy Configuration Setting Default Description
Set the default severity Defaults to the severity used in the original reporting tool This makes it easy to change the default severity of Action Items to better align with your organization's reporting requirements
Blocking override for CI/CD and Admission Controller Based on Action Item severity. High and Critical are blocking For the CI/CD and Admission Controller contexts, you can enforce a "must always fail" or "must always pass" rule regardless of the Action Item's severity

Policy is configured via the CLI, which will sync any YAML or custom OPA policies to the Insights API. For more information see the CLI documentation

# Syntax

The CLI expects a settings.yaml file in the current directory. The file should follow the following format:

checks:
  $reportType: # You can find this in the Action Items or Policy UI (e.g. `polaris`)
    $eventType: # You can find this in the Action Items or Policy UI (e.g. `runAsRootAllowed`)
      severity: <critical/high/medium/low/none>
      ci:
        block: <true/false>
      admission:
        block: <true/false>
admissionSettings: # Optionally specify per-org or per-cluster admission controller settings
  passiveMode: <true/false> # Required. Sets passive mode organization-wide
  opaEnabled: <true/false> # Required. Enable OPA policies with admission, organization-wide
  plutoEnabled: <true/false> # Required. Enable pluto with admission, organization-wide
  polarisEnabled: <true/false> # Required. Enable polaris with admission, organization-wide
  clusters: # Specify settings per-cluster
    - clusterName: dev
      passiveMode: <true/false>
      opaEnabled: <true/false>
      plutoEnabled: <true/false>
      polarisEnabled: <true/false>
  • For OPA policies under the checks section, the $reportType is opa and the $eventType is the Policy name.
  • The admissionSettings section requires the passiveMode and polarisEnabled options to be specified.
  • If admissionSettings is not specified, all reports are enabled by default, an passive mode is on by default.

Once the file has been created, use the following command to push the Policies Configuration:

insights-cli push settings

# Minimal Example

checks:
  polaris:
    runAsRootAllowed:
      severity: medium
    livenessProbeMissing:
      severity: high
      ci:
        block: true
      admission:
        block: false

# Custom options

Some reports may have custom options for given $eventType.

For goldilocks and prometheus-metrics, you may configure a threshold which control if an action-item must be created or not on Fairwinds Insights, i.e.:

checks:
  goldilocks:
    cpu_limits_too_low:
      options:
        threshold: 0.2 # only creates action-items when actual usage deviates from desirable by 20%

# Verifying the Configuration of Policies

  1. In Insights, go to the Policy page
  2. In the Policies table, for the Configuration column select the Customized filter

This should show you the Policies that have been modified using the settings.yaml file.

# Custom Policies with OPA

The OPA report allows you to define custom Policies for checking Kubernetes resources. This is useful for enforcing policies that are specific to your organization.

You may want to familiarize yourself with Rego (opens new window), the policy language used by OPA.

# Creating OPA Policies

# Using the Insights UI

  1. Visit your organization's Policy page
  2. Click the Create OPA Policy button

You'll see a sample Policy that disallows Deployments to the evil namespace. This should give you a quick sense for how to write OPA policies for Insights.

Insights also comes with several templates for OPA Policies which you can modify as needed. To view these templates:

  1. Visit your organization's Policy page
  2. Navigate to the OPA Policy Templates page

# Using the Insights CLI

To manage policies in an infrastructure-as-code repository, you can use the Insights command-line interface (CLI). Check out OPA Policies with the CLI for more information.

# Designing OPA Policies

Each OPA policy will receive an input parameter which contains a Kubernetes resource.

For example, we can check to make sure that replicas is set on all Deployments:

package fairwinds

replicasRequired[actionItem] {
  input.kind == "Deployment"
  input.spec.replicas == 0
  actionItem := {}
}

The actionItem object is what Insights will examine to determine the details of the issue. The following fields can be set:

  • title - String - a short title for the Action Item
  • description - String - a longer description of the issue. Can include markdown
  • remediation - String - instructions for fixing the issue. Can include markdown
  • category - String - valid values are Security, Efficiency or Reliability
  • severity - Integer - between 0.0 and 1.0.

Action Item severity is defined as:

  • 0.0 - None
  • 0.1 to 0.39 - Low
  • 0.4 to 0.69 - Medium
  • 0.7 to .89 - High
  • 0.9 to 1.0 - Critical

For instance, in the above OPA policy we could set:

package fairwinds

replicasRequired[actionItem] {
  input.kind == "Deployment"
  input.spec.replicas == 0
  actionItem := {
    "title": "Deployment does not have replicas set",
    "description": "All workloads at acme-co must explicitly set the number of replicas",
    "remediation": "Please set `spec.replicas`",
    "category": "Reliability",
    "severity": 0.5
  }
}

# Varying Action Item Attributes

You can reuse the same OPA policy, setting different Action Item attributes for different cases. For instance, say we wanted to apply our replicas policy above to both Deployment and StatefulSet but wanted a higher severity for Deployments:

package fairwinds

replicasRequired[actionItem] {
  # List the Kubernetes Kinds to which this policy should apply.
  kinds := {"Deployment", "StatefulSet"}
  # List severities for each of the above Kinds. Kind.
  severityByKind := {
    "StatefulSet": 0.4,
    "Deployment": 0.9,
  }
  # Iterate Kinds{} and only continue if input.kind is one of them.
  kind := kinds[_]
  input.kind == kind
  input.spec.replicas == 0
  # Set the severity based on the Kind.
  dynamicSeverity := severityByKind[input.kind]
  actionItem := {
    "title": "Deployment does not have replicas set",
    "description": "All workloads at acme-co must explicitly set the number of replicas",
    "remediation": "Please set `spec.replicas`",
    "category": "Reliability",
    "severity": dynamicSeverity,
  }
}

# Restricting OPA Policies by Insights Context

By default an OPA policy will run in all available contexts. These contexts are:

  • Insights Agent
  • Admission Controller
  • CI Integration

However, you can restrict an OPA policy to only run in certain Insights contexts using the insightsinfo() Rego function and the Agent, Admission and CI/CD values:

  context := insightsinfo("context")
  # List the Insights contexts in which this policy should apply.
  validContexts := {"Admission", "Agent"}
  # Only continue if the policy is executing in one of validContexts{}
  validContext := validContexts[_]
  context == validContext

# Varying Execution by Kubernetes Clusters

By default an OPA policy will run in all available clusters. You can restrict an OPA policy to run in specific Kubernetes clusters:

  # List the Kubernetes clusters to which this policy should apply.
  validClusters := {"cluster1", "cluster2"}
  # Only continue if the policy is executing in one of validClusters{}
  cluster := insightsinfo("cluster")
  validCluster := validClusters[_]
  cluster == validCluster

# Varying Execution by Admission Request Properties

You can restrict an OPA policy to run based on several admissionRequest properties. Accessible via insightsinfo("admissionRequest") Rego function:

  # List of admission request operations to which this policy should apply.
  validOperations := {"CREATE"}
  # Only continue if the policy is executing in one of validOperations list
  operation := insightsinfo("admissionRequest").operation
  validOperation := validOperations[_]
  operation == validOperation

# Variable Parameters

If we want:

  • Deployments to have at least three replicas
  • StatefulSets to have at least one replica

we can vary this value based on the Kubernetes Kind:

package fairwinds

replicasRequired[actionItem] {
  # List the Kubernetes Kinds to which this policy should apply.
  kinds := {"Deployment", "StatefulSet"}
  # List  the minimum required replicas for each of the above Kinds.
  minReplicasByKind := {
    "StatefulSet": 1,
    "Deployment": 3,
  }
  # Iterate Kinds{} and only continue if input.kind is one of them.
  kind := kinds[_]
  input.kind == kind
  minReplicas := minReplicasByKind[input.kind]
  input.spec.replicas < minReplicas
  actionItem := {
    "title": sprintf("%s must have a minimum of %d replicas", [input.kind, minReplicas]),
    "description": "Workloads at acme-co must have minimum number of replicas",
    "remediation": "Please set `spec.replicas` appropriately",
    "category": "Reliability",
    "severity": 0.2,
  }
}

# Using the Kubernetes API

You can cross-check OPA policy input with Kubernetes objects from the cluster at Policy execution time. For example, this ensures that all Deployments have an associated HorizontalPodAutoscaler:

package fairwinds

hasMatchingHPA(hpas, elem) {
  hpa := hpas[_]
  hpa.spec.scaleTargetRef.kind == elem.kind
  hpa.spec.scaleTargetRef.name == elem.metadata.name
  hpa.metadata.namespace == elem.metadata.namespace
  hpa.spec.scaleTargetRef.apiVersion == elem.apiVersion
}
hpaRequired[actionItem] {
  not hasMatchingHPA(kubernetes("autoscaling", "HorizontalPodAutoscaler"), input)
  actionItem := {
    "title": "No horizontal pod autoscaler found"
  }
}

# Testing OPA Policies

After uploading a new Policy, it's good to test that it is working properly. To do so you can manually kick off a report:

kubectl create job opa-test --from cronjob/opa -n insights-agent

Watch the pod logs for the resulting Job to spot any potential errors in your OPA policy.

The Insights CLI also facilitates offline testing of OPA policies. Check out the Validating OPA policy documentation.

# Adding Resources to OPA Policies

The Insights OPA plugin executes OPA policies for these Kubernetes resources by default:

  • Deployment
  • DaemonSet
  • StatefulSet
  • Pod
  • Job
  • CronJob

If you'd like to add additional resources, you can use the opa.targetResources from the Insights Agent Helm chart (opens new window):

opa:
  enabled: true
  targetResources:
  - apiGroups:
    - networking.k8s.io
    resources:
    - ingresses

By default the OPA plugin inherits the same Kubernetes APIGroups and Resources defined in the default rules for the Admission Controller.

# Troubleshooting

# Debug Print Statements

Rego print() statements will be included in the output of insights-cli validate opa to help debug Policy execution. For example, this Policy prints two debug messages.

package fairwinds

incompleteRule[actionItem] {
  print("starting our rule")
  input.kind == "Deployment"
  print("made it past the kind detection, which is ", input.kind)
  actionItem := {
    # This is incomplete!
  }
}

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