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You must assign explicit permissions to IAM identities (users, groups, or roles) to enable their access AWS resources. The associated IAM policy determines the privileges available to an IAM identity. Policies are JSON documents that define explicit allow/deny privileges to specific resources or resource groups. There are advantages to managing IAM policies in Terraform rather than manually in AWS
The flexibility of Terraform's configuration language gives you many options to choose from as you write your code, structure your directories, and test your configuration. While some design decisions depend on your organization's needs or preferences, there are some common patterns that we suggest you adopt. Adopting and adhering to a style guide keeps your Terraform code legible, scalable, and m
Note: Explicit refactoring declarations with moved blocks is available in Terraform v1.1 and later. For earlier Terraform versions or for refactoring actions too complex to express as moved blocks, you can use the terraform state mv CLI command as a separate step. In shared modules and long-lived configurations, you may eventually outgrow your initial module structure and resource names. For examp
AWS AssumeRole allows you to grant temporary credentials with additional privileges to users as needed, following the principle of least privilege. To configure AssumeRole access, you must define an IAM role that specifies the privileges that it grants and which entities can assume it. AssumeRole can grant access within or across AWS accounts. If you are administering multiple AWS accounts, you ca
Terraform modules are self-contained pieces of infrastructure-as-code that abstract the underlying complexity of infrastructure deployments. They speed adoption and lower the barrier of entry for Terraform end users who consume pre-built configuration. As a result, they should use coding best practices such as clear organization and the DRY ("Don't Repeat Yourself") principle wherever possible. Th
Cloud Development Kit for Terraform (CDKTF) allows you to use familiar programming languages to define and provision infrastructure. This gives you access to the entire Terraform ecosystem without learning HashiCorp Configuration Language (HCL) and lets you leverage the power of your existing toolchain for testing, dependency management, etc. We support TypeScript, Python, Java, C#, and Go. How do
The Cloud Development Kit for Terraform (CDKTF) generates JSON Terraform configuration from code in C#, Python, TypeScript, Java, or Go, and creates infrastructure using Terraform. With CDKTF, you can use hundreds of providers and thousands of module definitions provided by HashiCorp and the Terraform community. By using your programming language of choice, you can take advantage of the features a
AWS Control Tower Account Factory for Terraform (AFT) is a Terraform module that makes it easy to create and customize new accounts that comply with your organization's security guidelines. AFT defines a pipeline for automated and consistent creation of AWS Control Tower accounts, giving you the benefits of Terraform's workflow and Control Tower's governance features. AWS maintains this module. Th
Terraform manages infrastructure on cloud computing providers such as AWS, Azure, and GCP. But, it can also manage resources in hundreds of other services, including the music service Spotify. In this tutorial, you will use a Terraform data source to search Spotify for an artist, album, or song, and use that data to build a playlist. PrerequisitesTo complete this tutorial, you will need: Terraform
GitHub Actions add continuous integration to GitHub repositories to automate your software builds, tests, and deployments. Automating Terraform with CI/CD enforces configuration best practices, promotes collaboration, and automates the Terraform workflow. HashiCorp provides GitHub Actions that integrate with the HCP Terraform API. These actions let you create your own custom CI/CD workflows to mee
The release of Terraform v1.0 represents an important milestone in the development of the Terraform language and workflow. Terraform v1.0 is a stable platform for describing and managing infrastructure. In this release we're defining a number of Terraform behaviors that we intend to remain compatible with throughout the 1.x releases: A large subset of Terraform language features.A more conservativ
Validated PatternsField-tested patterns for using HashiCorp products
Terraform providers manage resources by communicating between Terraform and target APIs. Whenever the target APIs change or add functionality, provider maintainers may update and version the provider. When multiple users or automation tools run the same Terraform configuration, they should all use the same versions of their required providers. There are two ways for you to manage provider versions
When we introduce module blocks, our configuration becomes hierarchical rather than flat: each module contains its own set of resources, and possibly its own child modules, which can potentially create a deep, complex tree of resource configurations. However, in most cases we strongly recommend keeping the module tree flat, with only one level of child modules, and use a technique similar to the a
Serverless computing is a cloud computing model in which a cloud provider allocates compute resources on demand. This contrasts with traditional cloud computing where the user is responsible for directly managing virtual servers. Most serverless applications use Functions as a Service (FaaS) to provide application logic, along with specialized services for additional capabilities such as routing H
Terraform normally loads all of the .tf and .tf.json files within a directory and expects each one to define a distinct set of configuration objects. If two files attempt to define the same object, Terraform returns an error. In some rare cases, it is convenient to be able to override specific portions of an existing configuration object in a separate file. For example, a human-edited configuratio
Outside of development mode, Vault servers are configured using a file. The format of this file is HCL or JSON. Set the environment variable VAULT_ENABLE_FILE_PERMISSIONS_CHECK to have the Vault process automatically verify that the user running Vault owns and can access the configuration directory and all related files. The file permission check also confirms that no other group or user has write
Most requests to Vault require an authentication token. This includes all API requests, Vault CLI commands, and other libraries. If you can securely get the first secret from an originator to a consumer, later secrets transmitted between the originator and consumer authenticate with the trust established by the successful distribution and user of the first secret. ChallengeThe applications running
Terraform Plugin SDKv2 is a way to maintain Terraform Plugins on protocol version 5. We recommend using the framework to develop new provider functionality because it offers significant advantages as compared to the SDKv2. We also recommend migrating existing providers to the framework when possible. Refer to Plugin Framework Benefits for higher level details about how the framework makes provider
AWS's Elastic Kubernetes Service (EKS) is a managed service that lets you deploy, manage, and scale containerized applications on Kubernetes. In this tutorial, you will deploy an EKS cluster using Terraform. Then, you will configure kubectl using Terraform output and verify that your cluster is ready to use. Why deploy with Terraform?While you could use the built-in AWS provisioning processes (UI,
In the previous tutorial, you deployed Consul client agents and registered services to your Consul catalog. In this tutorial, you will connect workloads using Consul service mesh to enable secure service-to-service communication. A service mesh also allows you to leverage Consul's full suite of features. To create your service mesh, you will edit the service definitions on your Consul clients, lau
Terraform v0.12 is a major release focused on configuration language improvements and thus includes some changes that you'll need to consider when upgrading. The goal of this guide is to cover the most common upgrade concerns and issues. For most users, upgrading configuration should be completely automatic. Some simple configurations will require no changes at all, and most other configurations c
This guide describes recommended best practices for infrastructure architects and operators to follow when deploying Vault using the Integrated Storage (Raft) storage backend in a production environment. This guide includes general guidance as well as specific recommendations for popular cloud infrastructure platforms. These recommendations have also been encoded into official Terraform modules fo
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