Spacelift
PrivacyT&Cs
  • 👋Hello, Spacelift!
  • 🚀Getting Started
  • 🌠Main concepts
    • Stack
      • Creating a stack
      • Stack settings
      • Organizing stacks
      • Stack locking
      • Drift detection
    • Configuration
      • Environment
      • Context
      • Runtime configuration
        • YAML reference
    • Run
      • Task
      • Proposed run (preview)
      • Tracked run (deployment)
      • Module test case
      • User-Provided Metadata
      • Run Promotion
      • Pull Request Comments
    • Policy
      • Login policy
      • Access policy
      • Approval policy
      • Initialization policy
      • Plan policy
      • Push policy
      • Task policy
      • Trigger policy
    • Resources
    • Worker pools
    • VCS Agent Pools
  • 🛰️Platforms
    • Terraform
      • Module registry
      • External modules
      • Provider
      • State management
      • Terragrunt
      • Version management
      • Handling .tfvars
      • CLI Configuration
      • Cost Estimation
      • Resource Sanitization
      • Storing Complex Variables
      • Debugging Guide
    • Pulumi
      • Getting started
        • C#
        • Go
        • JavaScript
        • Python
      • State management
      • Version management
    • CloudFormation
      • Getting Started
      • Reference
      • Integrating with SAM
      • Integrating with the serverless framework
    • Kubernetes
      • Getting Started
      • Authenticating
      • Custom Resources
      • Helm
      • Kustomize
  • ⚙️Integrations
    • Audit trail
    • Cloud Integrations
      • Amazon Web Services (AWS)
      • Microsoft Azure
      • Google Cloud Platform (GCP)
    • Source Control
      • GitHub
      • GitLab
      • Azure DevOps
      • Bitbucket Cloud
      • Bitbucket Datacenter/Server
    • Docker
    • GraphQL API
    • Single sign-on
      • GitLab OIDC Setup Guide
      • Okta OIDC Setup Guide
      • OneLogin OIDC Setup Guide
      • Azure AD OIDC Setup Guide
      • AWS IAM Identity SAML 2.0 Setup Guide
    • Slack
    • Webhooks
  • 📖Product
    • Privacy
    • Security
    • Support
      • Statement of Support
    • Disaster Continuity
    • Billing
      • Stripe
      • AWS Marketplace
    • Terms and conditions
    • Refund Policy
  • Cookie Policy
Powered by GitBook
On this page
  • Purpose
  • Rules
  • Data input
  • Helpers
  • Use cases
  • Protect your stack from unwanted changes
  • Enforce organizational rules

Was this helpful?

  1. Main concepts
  2. Policy

Initialization policy

PreviousApproval policyNextPlan policy

Last updated 3 years ago

Was this helpful?

This feature is deprecated as we're planning to move the pre-flight checks to the worker node, thus allowing customers to block suspicious-looking jobs on their end.

Purpose

Initialization policy can prevent a or a from being , thus blocking any custom code or commands from being executed. It superficially looks like a in that it affects an existing Run and prints feedback to logs, but it does not get access to the plan. Instead, it can be used to or concerning how and when runs are supposed to be triggered.

Server-side initialization policies are being deprecated. We will be replacing them with that can be set by using the launcher run initialization policy flag (SPACELIFT_LAUNCHER_RUN_INITIALIZATION_POLICY).

For a limited time period we will be running both types of initialization policy checks but ultimately we're planning to move the pre-flight checks to the worker node, thus allowing customers to block suspicious looking jobs on their end.

Let's create a simple initialization policy, attach it to the stack, and see what gives:

package spacelift

deny["you shall not pass"] {
  true
}

...and boom:

Rules

Initialization policies are simple in that they only use a single rule - deny - with a string message. A single result for that rule will fail the run before it has a chance to start - as we've just witnessed above.

Data input

This is the schema of the data input that each policy request will receive:

{
  "commit": {
    "author": "string - GitHub login if available, name otherwise",
    "branch": "string - branch to which the commit was pushed",
    "created_at": "number  - creation Unix timestamp in nanoseconds",
    "message": "string - commit message"
  },
  "request": {
    "timestamp_ns": "number - current Unix timestamp in nanoseconds"
  },
  "run": {
    "based_on_local_workspace": "boolean - whether the run stems from a local preview",
    "created_at": "number - creation Unix timestamp in nanoseconds",
    "runtime_config": {
      "before_init": ["string - command to run before run initialization"],
      "project_root": "string - root of the Terraform project",
      "runner_image": "string - Docker image used to execute the run",
      "terraform_version": "string - Terraform version used to for the run"
    },
    "triggered_by": "string or null - user or trigger policy who triggered the run, if applicable",
    "type": "string - PROPOSED or TRACKED",
    "updated_at": "number - last update Unix timestamp in nanoseconds"
    "user_provided_metadata": ["string - blobs of metadata provided using spacectl or the API when interacting with this run"]
  },
  "stack": {
    "administrative": "boolean - is the stack administrative",
    "autodeploy": "boolean - is the stack currently set to autodeploy",
    "branch": "string - tracked branch of the stack",
    "labels": ["string - list of arbitrary, user-defined selectors"],
    "locked_by": "optional string - if the stack is locked, this is the name of the user who did it",
    "name": "string - name of the stack",
    "namespace": "string - repository namespace, only relevant to GitLab repositories",
    "project_root": "optional string - project root as set on the Stack, if any",
    "repository": "string - name of the source GitHub repository",
    "state": "string - current state of the stack",
    "terraform_version": "string or null - last Terraform version used to apply changes"
  }
}

Helpers

  • commit - an alias for input.commit.

  • run - an alias for input.run.

  • runtime_config - an alias for input.run.runtime_config.

  • stack - an alias for input.stack.

Use cases

Protect your stack from unwanted changes

package spacelift

deny[sprintf("don't use Terraform please (%s)", [command])] {
  command := input.run.runtime_config.before_init[_]
  
  contains(command, "terraform")
  command != "terraform fmt -check"
}
package spacelift

deny[sprintf("unexpected runner image (%s)", [image])] {
  image := input.run.runtime_config.runner_image
  
  image != "spacelift/runner:latest"
}

Obviously, if you're using an image other than what we control, you still have to ensure that the attacker can't push bad code to your Docker repo. Alas, this is beyond our control.

Enforce organizational rules

While the previous section was all about making sure that bad stuff does not get executed, this use case presents run initialization policies as a way to ensure best practices - ensuring that the right things get executed the right way and at the right time.

package spacelift

deny["please always run formatting check first"] {
  not formatting_first
}

formatting_first {
  input.run.runtime_config.before_init[i] == "terraform fmt -check"
  i == 0
}

This time we'll skip the mandatory "don't deploy on weekends" check because while it could also be implemented here, there are probably better places to do it. Instead, let's enforce a feature branch naming convention. We'll keep this example simple, requiring that feature branches start with either feature/ or fix/, but you can go fancy and require references to Jira tickets or even look at commit messages:

package spacelift

deny[sprintf("invalid feature branch name (%s)", [branch])] {
	branch := input.commit.branch

  input.run.type == "PROPOSED"
  not re_match("^(fix|feature)\/.*", branch)
}

In addition to our , we also provide the following helpers for initialization policies:

There are two main use cases for run initialization policies - and . Let's look at these one by one.

While specialized, Spacelift is still a CI/CD platform and thus allows running custom code before Terraform initialization phase using scripts. This is a very powerful feature, but as always, with great power comes great responsibility. Since those scripts get full access to your Terraform environment, how hard is it to create a commit on a feature branch that would run ? Sure, all Spacelift runs are tracked and this prank will sooner or later be tracked down to the individual who ran it, but at that point do you still have a business?

That's where initialization policies can help. Let's explicitly blacklist all Terraform commands if they're running as scripts. OK, let's maybe add a single exception for a formatting check.

Feel free to play with this example in .

OK, but what if someone gets clever and creates a that symlinks something very innocent-looking to terraform? Well, you have two choices - you could replace a blacklist with a whitelist, but a clever attacker can be really clever. So the other choice is to make sure that a known good Docker is used to execute the run. Here's an example:

Here's the above example in .

One of the above examples explicitly whitelisted Terraform formatting check. Keeping your code formatted in a standard way is generally a good idea, so let's make sure that this command always gets executed first. Note that as per this check is most elegantly defined as a negation of another rule matching the required state of affairs:

Here's this example .

Here's this example .

🌠
global helper functions
protecting your stack from unwanted changes
enforcing organizational rules
before_init
terraform destroy -auto-approve
before_init
the Rego playground
Docker image
the Rego playground
Anna Karenina principle
in the Rego playground
in the Rego playground
Run
Task
initialized
plan policy
protect your stack from unwanted changes
enforce organizational rules
worker-side policies