Set conditions for deployment plans

Orchestration rules allow you to automate aspects of your Stack deployments, such as auto-approving plans when those plans meet certain conditions. By setting orchestration rules, you can help streamline managing many deployments.

Create orchestration rules

Add orchestrate blocks to define rules for handling deployment plans in your deployment configuration file (tfdeploy.hcl).

The orchestrate block uses a check block to determine if a condition has passed or not, and every condition must pass for the orchestrate rule to take effect. For details on the syntax of an orchestrate block, refer to the Deployment configuration file reference.

Orchestrate rule types

There are two orchestration rule types to choose from:

1. The auto_approve rule executes after a Stack creates a plan and automatically approves a plan if all checks pass.
2. The replan rule executes after a Stack applies a plan, automatically triggering a replan if all the checks pass.

The auto_approve rule is helpful when you know you want a certain type of plan to go ahead without manual intervention. For example, Stacks have a default auto_approve rule named empty_plan, which automatically approves a plan if it has no changes.

As another example, you could create a rule that automatically approves deployments if a component has not changed.

# deployments.tfdeploy.hclorchestrate "auto_approve" "no_pet_changes" {    check {        # Check that the pet component has no changes        condition = context.plan.component_changes["component.pet"].total == 0        reason = "Not automatically approved because changes proposed to pet component."    }}

The above orchestrate block automatically approves plans if they do not include any changes for the pet component.

The replan rule is helpful when you need your Stack to perform another plan after it applies the last one. You could create a rule to automatically replan a deployment if the production deployment errors out.

# deployments.tfdeploy.hclorchestrate "replan" "replan_prod_for_errors" {    check {        condition = context.plan.deployment == deployment.production        reason = "Only automatically replan production deployments."    }    check {        condition = context.plan.applyable == false        reason = "Only automatically replan plans that were not applyable."    }    check {        condition = context.plan.replans < 2        reason = "Only automatically replan failed plans once."    }}

The above orchestrate block triggers a replan if the production development of a Stack errors out and if HCP Terraform hasn't already attempted to replan.

Leverage orchestration context

The orchestrate block can use the context variable, which provides access to detailed information about the deployment plan, such as the number of changes, the specific components involved, and the deployment’s status.

Use context to create more sophisticated checks and conditions. For example, you can automatically approve all planning operations.

# deployments.tfdeploy.hclorchestrate "auto_approve" "no_pet_changes" {    check {        # Check that the pet component has no changes        condition = context.operation == "plan"        reason = "Apply operations need manual approval."    }}

Another example of using context is automatically approving plans that do not remove resources in non-production deployments.

# deployments.tfdeploy.hclorchestrate "auto_approve" "safe_plans" {    # Ensure that no resource is removed.    check {        condition = context.plan.changes.remove == 0        reason    = "Plan is destroying ${context.plan.changes.remove} resources."    }    # Ensure that the deployment is not your production environment.     check {        condition = context.plan.deployment != deployment.production        reason    = "Production plans are not eligible for auto_approve."    }}

For more information on the information available in the context variable, refer to the Deployment configuration file reference.

Next steps

With your Stack and deployment configurations complete, your Stack is ready to be deployed by HCP Terraform. To learn more about creating a Stack in HCP Terraform, refer to Create a Stack.