»Managing Sentinel Policies

Hands-on: Try the Enforce Policy with Sentinel tutorials.

Sentinel Policies are rules which are enforced on Terraform runs to validate that the plan and corresponding resources are in compliance with company policies.

»Policies and Policy Sets

Policies are written using the Sentinel language. Policies are the guardrails that prevent Terraform runs from performing dangerous actions. Upon evaluation, policies will adhere to a predefined enforcement level.

Policies are managed as parts of versioned policy sets, which allow individual policy files to be stored in a supported VCS provider or uploaded via the Terraform Cloud API.

Policy sets are groups of policies that can be enforced on workspaces. A policy set can be enforced on designated workspaces, or to all workspaces in the organization.

After the plan stage of a Terraform run, Terraform Cloud checks every Sentinel policy that should be enforced on the run's workspace. This includes policies from global policy sets, and from any policy sets that are explicitly assigned to the workspace.

Policy sets are managed at an organization level; viewing and modifying them requires permission to manage policies. (More about permissions.)

»Enforcement Levels

Enforcement levels in Sentinel are used for defining behavior when policies fail to evaluate successfully. Sentinel provides three enforcement modes:

• hard-mandatory requires that the policy passes. If a policy fails, the run is halted and may not be applied until the failure is resolved.
• soft-mandatory is much like hard-mandatory, but allows any user with the Manage Policy Overrides permission to override policy failures on a case-by-case basis.
• advisory will never interrupt the run, and instead will only surface policy failures as informational to the user.

»Constructing a policy set

In order to use Sentinel in Terraform Cloud, you'll first need to create a policy set. A policy set is simply a directory structure containing a Sentinel configuration file and some policy files. We recommend that these files and configurations be treated like any other code and be checked in to a source control system. An added benefit to this is Terraform Cloud's VCS integration for Sentinel policies. See the managing policy sets section for details.

»The sentinel.hcl configuration file

Every policy set requires a configuration file named sentinel.hcl. This configuration file defines:

• Each policy that should be checked in the set.
• The enforcement level of each policy in the set.
• Any modules which need to be made available to policies in the set.

The sentinel.hcl configuration file may contain any number of entries which look like this:

policy "terraform-maintenance-windows" {
  source            = "./terraform-maintenance-windows.sentinel"
  enforcement_level = "hard-mandatory"
}

policy "terraform-maintenance-windows" {
  source            = "./terraform-maintenance-windows.sentinel"
  enforcement_level = "hard-mandatory"
}

In the above, a policy named terraform-maintenance-windows is defined with a hard-mandatory enforcement level.

»Specifying a Policy Source

A policy's source field that can point to a file within the policy repository, or a remote source, such as a policy from HashiCorp's foundational policies library.

To specify a local source, make sure you prefix the source with a ./, or ../.

policy "terraform-maintenance-windows" {
  source            = "./terraform-maintenance-windows.sentinel"
  enforcement_level = "hard-mandatory"
}

policy "terraform-maintenance-windows" {
  source            = "./terraform-maintenance-windows.sentinel"
  enforcement_level = "hard-mandatory"
}

To specify a remote source, supply the URL as the source. The following is taken as an example from the foundational policies library:

policy "aws-cis-4.1-networking-deny-public-ssh-acl-rules" {
  source            = "https://raw.githubusercontent.com/hashicorp/terraform-foundational-policies-library/master/cis/aws/networking/aws-cis-4.1-networking-deny-public-ssh-acl-rules/aws-cis-4.1-networking-deny-public-ssh-acl-rules.sentinel"
  enforcement_level = "advisory"
}

policy "aws-cis-4.1-networking-deny-public-ssh-acl-rules" {
  source            = "https://raw.githubusercontent.com/hashicorp/terraform-foundational-policies-library/master/cis/aws/networking/aws-cis-4.1-networking-deny-public-ssh-acl-rules/aws-cis-4.1-networking-deny-public-ssh-acl-rules.sentinel"
  enforcement_level = "advisory"
}

When no source line is specified, a policy file matching the name of the policy will be assumed as the source. As an example, for the terraform-maintenance-windows policy example above, the equivalent default is the source explicitly defined in the example, ./terraform-maintenance-windows.sentinel.

»Modules

Terraform Cloud has support for Sentinel's modules feature. This allows you to write re-usable policy code that can be imported from within several policies as once, reducing the amount of boilerplate from within a policy itself.

To configure a module, add a module entry to your sentinel.hcl file:

module "timezone" {
  source = "./modules/timezone.sentinel"
}

module "timezone" {
  source = "./modules/timezone.sentinel"
}

Create a modules directory within the policy set working directory, and create a timezone.sentinel that looks as follows:

import "http"
import "json"
import "decimal"

httpGet = func(id, token){
    uri = "https://timezoneapi.io/api/timezone/?" + id + "&token=" + token
    request = http.get(uri)
    return json.unmarshal(request.body)
}

offset = func(id, token) {
    tz = httpGet(id, token)
    offset = decimal.new(tz.data.datetime.offset_hours).int
    return offset
}

import "http"
import "json"
import "decimal"

httpGet = func(id, token){
    uri = "https://timezoneapi.io/api/timezone/?" + id + "&token=" + token
    request = http.get(uri)
    return json.unmarshal(request.body)
}

offset = func(id, token) {
    tz = httpGet(id, token)
    offset = decimal.new(tz.data.datetime.offset_hours).int
    return offset
}

The above configuration would tell a policy check to load the code at ./modules/timezone.sentinel relative to the policy set working directory and make it available to be imported with the statement import "timezone", located at the top of the Sentinel policy code. This module will be available to all of the policies within the policy set.

You can also configure a module to have a remote HTTP or HTTPS source in the same way as policies. The same rules apply as seen in Specifying a Policy Source, only that unlike policies, the source field is always required for a module.

»Sentinel policy code files

Sentinel policies themselves are defined in individual files (one per policy) in the same directory as the sentinel.hcl file. These files must match the name of the policy from the configuration file and carry the .sentinel suffix. Using the configuration example above, a policy file named terraform-maintenance-windows.sentinel should also exist alongside the sentinel.hcl file to complete the policy set.

Using the terraform-maintenance-windows.sentinel policy as an example, we can use the time and tfrun imports along with our custom timezone module to enforce checks that:

1. Load the time when the Terraform run occurred
2. Convert the loaded time with the correct offset using the Timezone API
3. Verify that the provisioning operation is only going to occur on an agreed upon day

An example policy would be as follows:

import "time"
import "tfrun"
import "timezone"

param token default "WbNKULOBheqV"
param maintenance_days default ["Friday", "Saturday", "Sunday"]
param timezone_id default "America/Los_Angeles"

tfrun_created_at = time.load(tfrun.created_at)

supported_maintenance_day = rule when tfrun.workspace.auto_apply is true {
    tfrun_created_at.add(time.hour * timezone.offset(timezone_id, token)).weekday_name in maintenance_days
}

main = rule {
    supported_maintenance_day
}

import "time"
import "tfrun"
import "timezone"

param token default "WbNKULOBheqV"
param maintenance_days default ["Friday", "Saturday", "Sunday"]
param timezone_id default "America/Los_Angeles"

tfrun_created_at = time.load(tfrun.created_at)

supported_maintenance_day = rule when tfrun.workspace.auto_apply is true {
    tfrun_created_at.add(time.hour * timezone.offset(timezone_id, token)).weekday_name in maintenance_days
}

main = rule {
    supported_maintenance_day
}

In the example above we have used a rule expression with the when predicate. If the value of tfrun.workspace.auto_apply is false, the rule will not be evaluated and return true

For a more robust or flexible policy, we could expand the enforcement logic to also restrict provisioning to occur out of hours using the time.hour function.

The above examples use parameters to to facilitate module reuse within Terraform. For more information on parameters, see the Sentinel parameter documentation.

»Managing Policy Sets

To manage policy sets, go to the "Policy Sets" section on the organization settings page.

Policy sets enforced on all workspaces are marked "All workspaces" in this list; other policy sets show how many workspaces they are enforced on. You may also notice policy sets with an informational tag that reads "Policies managed individually", which indicates that the policy set is not versioned and uses policy relationships. These policy sets may be migrated in the future, if required.

To create a new policy set, click the "Create a new policy set" button; to edit an existing set, click its entry in the list. Click the "Create policy set" or "Update policy set" button when finished.

When creating or editing a policy set, the following fields are available:

• Name: The name of the policy set, which is used in the UI. Must be unique to your organization. Accepts letters, numbers, -, and _.
• Description: A description of the policy set's purpose. The description can be any length and supports Markdown rendering.
• Scope of policies: Whether the set should be enforced on all workspaces, or only on a chosen list of workspaces.
• VCS repo or "Upload via API": This area allows selecting a VCS repository from an existing OAuth client connection. Choosing "Upload via API" will not configure VCS integration, and instead tarballs of policy sets may be uploaded via the API. See the policy set versions for more information on uploading policy sets using the API.
• VCS Branch: This field allows specifying the branch within a VCS repository from which to import new versions of policies. If left blank, the value your version control provides as the default branch of the VCS repository is used.
• Policies Path: This field allows specifying a sub-directory within a VCS repository for the policy set files. This allows maintaining multiple policy sets within a single repository. The value of this field should be the path to the directory containing the sentinel.hcl configuration file of the policy set you wish to configure. If left blank, the root of the repository is used. A leading / may be used, but is optional (relative paths are assumed to originate from the root of the repository).
• Workspaces: Which workspaces the policy set should be enforced on. This is only shown when the scope of policies is set to "Policies enforced on selected workspaces." Use the drop-down menu and "Add workspace" button to add workspaces, and the trash can (🗑) button to remove them.
• Parameters: A list of key/value parameters that will be sent to the Sentinel runtime when a policy check is being performed for the policy set. If the value can be parsed as JSON, it will be sent to Sentinel as the corresponding type (string, boolean, integer, map or list). If it fails JSON validation, it will be sent as a string. For more information on parameters, see the Sentinel parameter documentation.

»Migrating individually managed policies to versioned policy sets

Individually managed policies allows for editing policy code directly in the UI and combining these policies into policy sets. This workflow is a good entry into policy as code, and when you are ready to scale beyond individually managed policies, we recommend versioned policy sets, which are managed as an immutable, atomic, and versioned unit, using VCS or directly uploading entire policy sets through the API.

If you already have policy sets defined which reference individually managed policies directly, you can quickly and easily migrate them to versioned policy sets.

»Migration Utility

We've created a simple migration utility which you can run on the command line to mirror all of your policy sets to local disk. This is the first step in moving to versioned policy sets. You can view the documentation and source of the migration utility or download a release to get started quickly.

The goal of the migration utility is only to copy your policy sets and configuration from Terraform Cloud onto your local disk in a directory structure ready to be uploaded or checked in to version control. From there, follow the steps in the managing policy sets section to create new policy sets. You'll be able to leverage VCS or direct API uploads using the migrated source files.