Terraform Announces Immediate Support for New AWS Features

Celebrating a Decade of Terraform AWS Provider: A Milestone in Cloud Infrastructure Management

The Terraform AWS provider, a pivotal tool in cloud infrastructure management, marks its tenth anniversary this year. This milestone celebrates the seamless integration it provides between Terraform and the Amazon Web Services (AWS) cloud platform. The provider has been downloaded over three billion times, underscoring its significance among developers and cloud engineers. Additionally, the introduction of the AWS Cloud Control API provider is poised to redefine how quickly new AWS services can be utilized within Terraform, further enhancing the agility and efficiency of cloud operations.

In collaboration with Amazon Web Services (AWS), HashiCorp is thrilled to announce the introduction of launch-day support for a host of new features spanning several AWS services within the Terraform AWS provider. These enhancements are designed to make it easier for developers to incorporate cutting-edge AWS services into their Terraform-managed cloud environments. Among the services that have received new features are Amazon S3, EKS, and ECS, with specific updates including:

• S3 Tables: Iceberg on Top of S3
• Amazon S3 Express One Zone: S3 Lifecycle Expirations
• ECS: VPC Lattice
• ECS: Service AZ Rebalancing
• EKS: Hybrid Nodes
• EKS: Auto Mode

  S3 Tables: Iceberg on Top of S3

  Amazon S3 Tables have been optimized to enhance analytics workloads by improving query performance while simultaneously reducing costs. These tables come with built-in support for the Apache Iceberg standard. This integration allows users to effortlessly query tabular data stored in S3 using widely-used query engines such as Apache Spark. With S3 Tables, users can store diverse data types, like daily purchase transactions or streaming sensor data, as Iceberg tables in Amazon S3. These tables can then be interacted with using advanced analytics capabilities, which include row-level transactions and queryable table snapshots. Amazon S3 manages these features, ensuring the data is maintained efficiently over time.

  Configuring S3 Tables in the Terraform AWS Provider

  Setting up S3 Tables within the Terraform AWS provider involves using the new XYZ resource, in conjunction with existing resources, to manage the new S3 Tables feature. Here’s a basic example of how to configure these resources:

  hcl<br /> resource "aws_s3tables_table_bucket" "example" {<br /> name = "example-bucket"<br /> }<br /> <br /> resource "aws_s3tables_table_bucket_policy" "example" {<br /> resource_policy = data.aws_iam_policy_document.table_bucket.json<br /> table_bucket_arn = aws_s3tables_table_bucket.example.arn<br /> }<br /> <br /> data "aws_iam_policy_document" "table_bucket" {<br /> statement {<br /> actions = ["s3tables:*"]<br /> principals {<br /> type = "AWS"<br /> identifiers = [data.aws_caller_identity.current.account_id]<br /> }<br /> resources = ["${aws_s3tables_table_bucket.example.arn}/*"]<br /> }<br /> }<br />

  EKS: Hybrid Nodes

  The introduction of Amazon EKS Hybrid Nodes brings a fully managed, cloud-consistent Kubernetes experience to customers. This service simplifies hybrid application delivery and standardizes operational practices across on-premises, edge, and cloud environments. With Amazon EKS, users can utilize the same console, APIs, and tools they employ when running workloads on AWS infrastructure. The release of EKS Hybrid Nodes significantly simplifies the on-premises use case, building on the success of Amazon EKS.

  Configuring EKS: Hybrid Nodes in the Terraform AWS Provider

  To configure EKS Hybrid Nodes within the Terraform AWS provider, similar to S3 Tables, you would utilize a combination of new and existing resources to manage these features effectively. This integration allows for a seamless transition of workloads between environments, maintaining consistency and reliability.

  New AWS Ephemeral Resources

  In the realm of infrastructure management, Terraform handles sensitive data, such as private keys and API tokens. Traditionally, these secrets would persist in the state file, posing a security risk if the files were accessed improperly. To address this, Terraform 1.10 introduces ephemeral values, which are not stored in any artifact, enhancing the security of sensitive information. These values are not consistent across different runs and are not retained in the state file, offering a more secure handling of sensitive data.

  Configuring Ephemeral Resources in the Terraform AWS Provider

  To manage sensitive data securely, AWS Secrets Manager can be utilized. This service allows practitioners to handle sensitive information like usernames and passwords without writing them to state. Below is an example configuration:

  hcl<br /> resource "aws_secretsmanager_secret" "example" {<br /> name = "example"<br /> }<br /> <br /> resource "aws_secretsmanager_secret_version" "example" {<br /> secret_id = aws_secretsmanager_secret.example.id<br /> secret_string = "example-secret"<br /> }<br /> <br /> ephemeral "aws_secretsmanager_secret_version" "example" {<br /> secret_id = aws_secretsmanager_secret.example.id<br /> version_id = aws_secretsmanager_secret_version.example.version_id<br /> }<br /> <br /> output "secret_string" {<br /> value = ephemera.aws_secretsmanager_secret_version.example.secret_string<br /> ephemeral = true<br /> }<br />

  Faster Service Support with the AWS Cloud Control Provider

  The AWS Cloud Control (AWSCC) provider is built around the AWS Cloud Control API to facilitate quicker integration of new AWS services into Terraform. The 1.0 release of the AWSCC provider marks a significant advancement in offering launch day support for AWS services. This provider is automatically generated based on the Cloud Control API, allowing for immediate support of the latest features and services on AWS. As a result, Terraform users can expect increased resource coverage and reduced time to adopt new AWS capabilities. AWS and HashiCorp are committed to delivering high-quality, consistent releases for both the AWS and AWSCC providers.

  Learn More About AWS and HashiCorp

  For those eager to learn the basics of Terraform with the AWS provider, comprehensive tutorials are available for getting started with Terraform on AWS. These resources provide a hands-on approach to understanding how to leverage Terraform for effective cloud infrastructure management. Additionally, newcomers can sign up for Terraform Cloud and explore its capabilities through the Free offering.

  For further information, you can explore the AWS Provider on Terraform Registry and the HashiCorp Developer Education Platform.

  This decade-long journey of the Terraform AWS provider highlights its critical role in cloud infrastructure management, continually evolving to meet the demands of modern cloud environments. As AWS and HashiCorp continue to innovate, users can look forward to enhanced capabilities and more efficient cloud operations.

For more Information, Refer to this article.