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terraform-stacks

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Подробное руководство по работе со стеками HashiCorp Terraform. Используйте при создании, изменении или проверке конфигураций Terraform Stacks (файлы .tfcomponent.hcl, .tfdeploy.hcl), работе с компонентами стека и развертываниями из локальных модулей, публичного или частного реестра, управлении инфраструктурой, охватывающей несколько регионов или сред, а также при устранении неполадок, связанных с синтаксисом и структурой Terraform Stacks.

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Обновлено время 29 июня 2026 г.

О terraform-stacks

Навык « terraform-stacks » содержит исчерпывающие рекомендации по работе с HashiCorp Terraform Stacks — уровнем конфигурации, предназначенным для упрощения развертывания и управления инфраструктурой в больших масштабах. Он помогает пользователям создавать, изменять, проверять и устранять неполадки в конфигурациях Terraform Stack с помощью специфичных для Stack файлов HCL, таких как `.tfcomponent.hcl` и `.tfdeploy.hcl`. Данный курс посвящён организации инфраструктуры в виде повторно используемых компонентов и развёрток, что позволяет командам управлять сложной инфраструктурой, охватывающей несколько сред, регионов и учётных записей, более согласованно, чем при использовании только отдельных модулей Terraform.

Данный курс охватывает основные концепции и структуру, необходимые для эффективного создания стеков Terraform, включая компоненты стека, развертывания, определения переменных, конфигурации провайдеров и организацию репозиториев. В нём объясняются требуемая структура файлов, поддерживаемые типы источников модулей и требования к версии Terraform, необходимые для использования плагина Stacks CLI. В документации также освещаются важные практики настройки, такие как использование `ephemeral = true` для учетных данных и токенов, чтобы предотвратить сохранение конфиденциальных значений в файлах состояния Terraform. Кроме того, в ней приводятся рекомендации по использованию модулей из локальных каталогов, публичных и частных реестров, а также из источников Git.

Навык « terraform-stacks » предназначен для инженеров по инфраструктуре, команд DevOps, инженеров по платформам и администраторов облачных сред, управляющих масштабируемыми развертываниями инфраструктуры с помощью Terraform. Он особенно полезен для организаций, поддерживающих отдельные среды, такие как среда разработки, тестирования и производственная среда, или развертывающих инфраструктуру в нескольких регионах и облачных учетных записях. Команды, внедряющие Terraform Stacks в рамках рабочих процессов HCP Terraform, могут использовать этот навык для стандартизации структуры репозиториев Stack, повышения согласованности развертывания и сокращения количества ошибок конфигурации при совместной оркестрации нескольких компонентов инфраструктуры.

Часто задаваемые вопросы

Какие типы файлов конфигурации используются в Terraform Stacks?

В Terraform Stacks используются файлы `.tfcomponent.hcl` для конфигурации компонентов, файлы `.tfdeploy.hcl` для конфигурации развертывания и файл `.terraform.lock.hcl` в качестве сгенерированного файла блокировки провайдера.

Какие версии Terraform поддерживаются для Terraform Stacks?

Для работы с Terraform Stacks требуется Terraform версии 1.13.x или более поздней, чтобы использовать плагин CLI Stacks и выполнять команды Terraform Stacks.

Могут ли компоненты Terraform Stacks использовать модули из разных источников?

Да. Компоненты могут ссылаться на локальные модули, модули из общедоступных реестров, модули из частных реестров и модули из репозиториев на базе Git.

Являются ли конфигурационные файлы Terraform Stacks такими же, как стандартные файлы Terraform HCL?

Нет. Terraform Stacks использует отдельный язык Stack на основе HCL со своими собственными блоками, структурой и расширениями файлов.

Как следует обрабатывать конфиденциальные учетные данные и токены в Terraform Stacks?

Для конфиденциальных значений, таких как токены идентификации, ключи API и пароли, следует использовать параметр `ephemeral = true`, чтобы они не сохранялись в файлах состояния Terraform.

Посмотреть на GitHub

Terraform Stacks

Terraform Stacks simplify infrastructure provisioning and management at scale by providing a configuration layer above traditional Terraform modules. Stacks enable declarative orchestration of multiple components across environments, regions, and cloud accounts.

Core Concepts

Stack: A complete unit of infrastructure composed of components and deployments that can be managed together.

Component: An abstraction around a Terraform module that defines infrastructure pieces. Each component specifies a source module, inputs, and providers.

Deployment: An instance of all components in a stack with specific input values. Use deployments for different environments (dev/staging/prod), regions, or cloud accounts.

Stack Language: A separate HCL-based language (not regular Terraform HCL) with distinct blocks and file extensions.

File Structure

Terraform Stacks use specific file extensions:

  • Component configuration: .tfcomponent.hcl
  • Deployment configuration: .tfdeploy.hcl
  • Provider lock file: .terraform.lock.hcl (generated by CLI)

All configuration files must be at the root level of the Stack repository. HCP Terraform processes all files in dependency order.

Recommended File Organization

my-stack/├── .terraform-version               # The required Terraform version for this Stack├── variables.tfcomponent.hcl        # Variable declarations├── providers.tfcomponent.hcl        # Provider configurations├── components.tfcomponent.hcl       # Component definitions├── outputs.tfcomponent.hcl          # Stack outputs├── deployments.tfdeploy.hcl         # Deployment definitions├── .terraform.lock.hcl              # Provider lock file (generated)└── modules/                         # Local modules (optional - only if using local modules)    ├── s3/    └── compute/

Note: The modules/ directory is only required when using local module sources. Components can reference modules from:

  • Local file paths: ./modules/vpc
  • Public registry: terraform-aws-modules/vpc/aws
  • Private registry: app.terraform.io/<org-name>/vpc/aws
  • Git: git::https://github.com/org/repo.git//path?ref=v1.0.0

HCP Terraform processes all .tfcomponent.hcl and .tfdeploy.hcl files in dependency order.

Required Terraform version (.terraform-version)

Use Terraform v1.13.x or later to access the Stacks CLI plugin and to runterraform stacks CLI commands. Begin by adding a .terraform-version file toyour Stack's root directory to specify the Terraform version required for yourStack. For example, the following file specifies Terraform v1.14.5:

1.14.5

Component Configuration (.tfcomponent.hcl)

Variable Block

Declare input variables for the Stack configuration. Variables must define a type field and do not support the validation argument.

variable "aws_region" {  type        = string  description = "AWS region for deployments"  default     = "us-west-1"}variable "identity_token" {  type        = string  description = "OIDC identity token"  ephemeral   = true  # Does not persist to state file}variable "instance_count" {  type     = number  nullable = false}

Important: Use ephemeral = true for credentials and tokens (identity tokens, API keys, passwords) to prevent them from persisting in state files. Use stable for longer-lived values like license keys that need to persist across runs.

Required Providers Block

required_providers {  aws = {    source  = "hashicorp/aws"    version = "~> 6.0"  }  random = {    source  = "hashicorp/random"    version = "~> 3.5.0"  }}

Provider Block

Provider blocks differ from traditional Terraform:

  1. Support for_each meta-argument
  2. Define aliases in the block header (not as an argument)
  3. Accept configuration through a config block

Single Provider Configuration:

provider "aws" "this" {  config {    region = var.aws_region    assume_role_with_web_identity {      role_arn           = var.role_arn      web_identity_token = var.identity_token    }  }}

Multiple Provider Configurations with for_each:

provider "aws" "configurations" {  for_each = var.regions  config {    region = each.value    assume_role_with_web_identity {      role_arn           = var.role_arn      web_identity_token = var.identity_token    }  }}

Authentication Best Practice: Use workload identity (OIDC) as the preferred authentication method for Stacks. This approach:

  • Avoids long-lived static credentials
  • Provides temporary, scoped credentials per deployment run
  • Integrates with cloud provider IAM (AWS IAM Roles, Azure Managed Identities, GCP Service Accounts)
  • Eliminates need for platform-managed environment variables

Configure workload identity using identity_token blocks and assume_role_with_web_identity in provider configuration. For detailed setup instructions for AWS, Azure, and GCP, see: https://developer.hashicorp.com/terraform/cloud-docs/dynamic-provider-credentials

Component Block

Each Stack requires at least one component block. Add a component for each module to include in the Stack. Components reference modules from local paths, registries, or Git.

component "vpc" {  source  = "app.terraform.io/my-org/vpc/aws"  # Local, registry, or Git URL  version = "2.1.0"          # For registry modules  inputs = {    cidr_block  = var.vpc_cidr    name_prefix = var.name_prefix  }  providers = {    aws = provider.aws.this  }}

See references/component-blocks.md for examples of dependencies, for_each, public registry modules, Git sources, and more.

Key Points:

  • Reference outputs: component.<name>.<output> or component.<name>[key].<output> for for_each
  • Dependencies inferred automatically from component references
  • Aggregate with for expressions: [for x in component.s3 : x.bucket_name]
  • For components with for_each, reference specific instances: component.<name>[each.value].<output>
  • Provider references are normal values: provider.<type>.<alias> or provider.<type>.<alias>[each.value]

Output Block

Outputs require a type argument and do not support preconditions:

output "vpc_id" {  type        = string  description = "VPC ID"  value       = component.vpc.vpc_id}output "endpoint_urls" {  type      = map(string)  value     = {    for region, comp in component.api : region => comp.endpoint_url  }  sensitive = false}

Locals Block

Locals blocks work the same in both .tfcomponent.hcl and .tfdeploy.hcl files:

locals {  common_tags = {    Environment = var.environment    ManagedBy   = "Terraform Stacks"    Project     = var.project_name  }  region_config = {    for region in var.regions : region => {      name_suffix = "${var.environment}-${region}"    }  }}

Removed Block

Use to safely remove components from a Stack. HCP Terraform requires the component's providers to remove it.

removed {  from   = component.old_component  source = "./modules/old-module"    providers = {    aws = provider.aws.this  }}

Deployment Configuration (.tfdeploy.hcl)

Identity Token Block

Generate JWT tokens for OIDC authentication with cloud providers:

identity_token "aws" {  audience = ["aws.workload.identity"]}identity_token "azure" {  audience = ["api://AzureADTokenExchange"]}

Reference tokens in deployments using identity_token.<name>.jwt

Store Block

Access HCP Terraform variable sets within Stack deployments:

store "varset" "aws_credentials" {  id       = "varset-ABC123"  # Alternatively use: name = "varset_name"  source   = "tfc-cloud-shared"  category = "terraform"      # Alternatively use: category = "env" for environment variables}deployment "production" {  inputs = {    aws_access_key = store.varset.aws_credentials.AWS_ACCESS_KEY_ID  }}

Use to centralize credentials and share variables across Stacks. See references/deployment-blocks.md for details.

Deployment Block

Define deployment instances (minimum 1, maximum 20 per Stack):

deployment "production" {  inputs = {    aws_region     = "us-west-1"    instance_count = 3    role_arn       = local.role_arn    identity_token = identity_token.aws.jwt  }}# Create multiple deployments for different environmentsdeployment "development" {  inputs = {    aws_region     = "us-east-1"    instance_count = 1    name_suffix    = "dev"    role_arn       = local.role_arn    identity_token = identity_token.aws.jwt  }}

To destroy a deployment: Set destroy = true, upload configuration, approve destroy run, then remove the deployment block. See references/deployment-blocks.md for details.

Deployment Group Block

Group deployments together for shared settings (HCP Terraform Premium tier feature). Free/standard tiers use default groups named {deployment-name}_default.

deployment_group "canary" {  auto_approve_checks = [deployment_auto_approve.safe_changes]}deployment "dev" {  inputs = { /* ... */ }  deployment_group = deployment_group.canary}

Multiple deployments can reference the same group. See references/deployment-blocks.md for details.

Deployment Auto-Approve Block

Define rules to automatically approve deployment plans (HCP Terraform Premium tier feature):

deployment_auto_approve "safe_changes" {  deployment_group = deployment_group.canary  check {    condition = context.plan.changes.remove == 0    reason    = "Cannot auto-approve plans with resource deletions"  }}

Available context variables: context.plan.applyable, context.plan.changes.add/change/remove/total, context.success

Note: orchestrate blocks are deprecated. Use deployment_group and deployment_auto_approve instead.

See references/deployment-blocks.md for all context variables and patterns.

Publish Output and Upstream Input Blocks

Link Stacks together by publishing outputs from one Stack and consuming them in another:

# In network Stack - publish outputspublish_output "vpc_id_network" {  type  = string  value = deployment.network.vpc_id}# In application Stack - consume outputsupstream_input "network_stack" {  type   = "stack"  source = "app.terraform.io/my-org/my-project/networking-stack"}deployment "app" {  inputs = {    vpc_id = upstream_input.network_stack.vpc_id_network  }}

See references/linked-stacks.md for complete documentation and examples.

Terraform Stacks CLI

Note: Terraform Stacks is Generally Available (GA) as of Terraform CLI v1.13+. Stacks now count toward Resources Under Management (RUM) for HCP Terraform billing.

Initialize and Validate

terraform stacks init              # Download providers, modules, generate lock fileterraform stacks providers-lock    # Regenerate lock file (add platforms if needed)terraform stacks validate          # Check syntax without uploading

Deployment Workflow

Important: No plan or apply commands. Upload configuration triggers deployment runs automatically.

# 1. Upload configuration (triggers deployment runs)terraform stacks configuration upload# 2. Monitor deploymentsterraform stacks deployment-run list                          # List runs (non-interactive)terraform stacks deployment-group watch -deployment-group=... # Stream status updates# 3. Approve deployments (if auto-approve not configured)terraform stacks deployment-run approve-all-plans -deployment-run-id=...terraform stacks deployment-group approve-all-plans -deployment-group=...terraform stacks deployment-run cancel -deployment-run-id=...  # Cancel if needed

Configuration Management

terraform stacks configuration list                    # List configuration versionsterraform stacks configuration fetch -configuration-id=...  # Download configurationterraform stacks configuration watch                   # Monitor upload status

Other Commands

terraform stacks create              # Create new Stack (interactive)terraform stacks fmt                 # Format Stack filesterraform stacks list                # Show all Stacksterraform stacks version             # Display versionterraform stacks deployment-group rerun -deployment-group=...  # Rerun deployment

Monitoring Deployments with HCP Terraform API

For programmatic monitoring in automation, CI/CD, or non-interactive environments (like AI agents), use the HCP Terraform API instead of CLI watch commands. The API provides endpoints for:

  • Configuration status and validation
  • Deployment group summaries
  • Deployment run status
  • Deployment step details (plan/apply)
  • Error diagnostics with file locations and code snippets
  • Stack outputs via artifacts endpoint

Key points:

  • CLI watch commands stream indefinitely and don't work in automation
  • Use artifacts endpoint to retrieve Stack outputs: GET /api/v2/stack-deployment-steps/{step-id}/artifacts?name=apply-description
  • Diagnostics endpoint requires stack_deployment_step_id query parameter
  • Artifacts endpoint returns HTTP 307 redirect (use curl -L)

For complete API workflow, authentication, polling best practices, and example scripts, see references/api-monitoring.md.

Common Patterns

Component Dependencies: Dependencies are automatically inferred when one component references another's output (e.g., subnet_ids = component.vpc.private_subnet_ids).

Multi-Region Deployment: Use for_each on providers and components to deploy across multiple regions. Each region gets its own provider configuration and component instances.

Deferred Changes: Stacks support deferred changes to handle dependencies where values are only known after apply. This enables complex multi-component deployments where some resources depend on runtime values from other components (cluster endpoints, generated passwords, etc.).

For complete examples including multi-region deployments, component dependencies, deferred changes patterns, and linked Stacks, see references/examples.md.

Best Practices

  1. Component Granularity: Create components for logical infrastructure units that share a lifecycle
  2. Module Compatibility:
    • Modules used with Stacks cannot include provider blocks (configure providers in Stack configuration)
    • Test public registry modules before using in production Stacks - some modules may have compatibility issues
    • Consider using raw resources for critical infrastructure if module compatibility is uncertain
    • Example: Some terraform-aws-modules versions have been found to have compatibility issues with Stacks (e.g., ALB and ECS modules)
  3. State Isolation: Each deployment has its own isolated state
  4. Input Variables: Use variables for values that differ across deployments; use locals for shared values
  5. Provider Lock Files: Always generate and commit .terraform.lock.hcl to version control
  6. Naming Conventions: Use descriptive names for components and deployments
  7. Deployment Groups: You can organize deployments into deployment groups. Deployment groups enable auto-approval rules, logical organization, and provide a foundation for scaling. Deployment groups are an HCP Terraform Premium tier feature
  8. Testing: Test Stack configurations in dev/staging deployments before production

Troubleshooting

Circular Dependencies: Refactor to break circular references or use intermediate components.

Deployment Destruction: Cannot destroy from UI. Set destroy = true in deployment block, upload configuration, and HCP Terraform creates a destroy run.

Empty Diagnostics: Add required stack_deployment_step_id query parameter to diagnostics API requests.

Module Compatibility: Test public registry modules before production use. Some modules may have compatibility issues with Stacks.

References

For detailed documentation, see:

  • references/component-blocks.md - Complete component block reference with all arguments and syntax
  • references/deployment-blocks.md - Complete deployment block reference with all configuration options
  • references/linked-stacks.md - Publish outputs and upstream inputs for linking Stacks together
  • references/examples.md - Complete working examples for multi-region and component dependencies
  • references/api-monitoring.md - Full API workflow for programmatic monitoring and automation
  • references/troubleshooting.md - Detailed troubleshooting guide for common issues and solutions

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