Amazon S3 is an object storage service launched by AWS in 2006. S3 is highly scalable and offers a cost-effective solution for data storage needs. With S3 you can store various types of unstructured data such as videos, images, audio files, and any other type of data that doesn't fit neatly into a database. S3 stands for Simple Storage Service. S3 buckets are cloud storage services by Amazon Web Service. It is used to store objects. It consists of data in any format like documents, images, videos, and application code. These are highly scalable.
Terraform provides automation for on-premises virtual infrastructure. You can use Terraform to safely deploy an Amazon S3 File Gateway as a virtual machine in your on-premises virtual infrastructure. The automation provides a customizable Terraform module that you can use to provision an Amazon S3 File Gateway with all of the resources and dependencies needed to fully deploy the gateway and file shares in your VM environment. The Terraform module provisions the gateway VM, activates the gateway, configures the cache disk, joins the gateway to a domain, creates the Amazon S3 buckets, creates the file shares, and maps them to buckets. For a complete example of a repository that contains Terraform code to create the resources required to run Amazon S3 File Gateway on premises, see the Terraform Storage Gateway module.
The Amazon S3 File Gateway module for Terraform is a community supported effort. It is not part of an AWS service. Best-effort support is provided by the AWS Storage community. You might need to configure Terraform to obtain the latest version of the AWS Storage Gateway machine image for your preferred hypervisor platform. Storage Gateway machine images use the following naming convention. The version number appended to the image name changes with each version release. aws-storage-gateway-FILE_S3-1.25.0.
HashiCorp documents the automation for on-premises virtual infrastructure with a reference to Automate Amazon S3 File Gateway deployments in VMware with Terraform by HashiCorp.
AWS Storage Gateway Terraform Module for On-Premises File Gateway
The AWS Storage Gateway Terraform module is presented as an AWS Storage Gateway Terraform module by HashiCorp. The module enables Terraform to safely deploy an Amazon S3 File Gateway as a virtual machine in on-premises virtual infrastructure. Terraform provides automation for on-premises virtual infrastructure.
The module is customizable and provisions an Amazon S3 File Gateway with all of the resources and dependencies needed to fully deploy the gateway and file shares in the VM environment. Provisioning covers gateway VM creation, gateway activation, cache disk configuration, domain join, Amazon S3 bucket creation, file share creation, and mapping of file shares to buckets.
The naming convention for Storage Gateway machine images is critical to obtaining the correct virtual appliance. The image name format is aws-storage-gateway-FILE_S3-1.25.0 with a version number appended that changes with each version release. Configuring Terraform to obtain the latest version of the AWS Storage Gateway machine image for the preferred hypervisor platform is a prerequisite step for successful deployment.
Community support status affects operational expectations. The Amazon S3 File Gateway module for Terraform is a community supported effort. It is not part of an AWS service. Best-effort support is provided by the AWS Storage community. Users deploying this module should plan for community-level support rather than AWS service support.
Community Terraform AWS S3 Bucket Module Core Architecture
The terraform-aws-s3-bucket module is a comprehensive Terraform solution for creating and managing AWS S3 buckets with an extensive range of configurations and features. The module abstracts the complexity of S3 bucket management while providing fine-grained control over bucket properties, security settings, and integration with other AWS services.
The module is designed to be comprehensive, handling nearly all S3 bucket configurations supported by the AWS provider for Terraform. The module is organized around several core components that work together to provision and configure S3 buckets. The module uses local variables and conditional logic to determine which resources should be created based on the provided configuration.
The module enables users to configure nearly all S3 bucket configurations supported by the AWS provider for Terraform. The abstraction reduces repetitive boilerplate while preserving fine-grained control over bucket properties, security settings, and integration with other AWS services.
Feature Matrix and Configuration Variables
The module supports a comprehensive set of S3 bucket features. The feature matrix maps categories to supported features and configuration variables.
| Feature Category | Supported Features | Configuration Variable |
|---|---|---|
| Basic Configuration | Bucket creation, naming, force destroy | bucket, bucketprefix, forcedestroy |
| Access Control | ACLs, Object Ownership, Public Access Block | acl, grant, objectownership, blockpublic_acls |
| Encryption | SSE-S3, SSE-KMS, Encryption policies | serversideencryption_configuration |
| Storage Management | Versioning, Lifecycle rules, Intelligent tiering | versioning, lifecyclerule, intelligenttiering |
| Website Hosting | Index/error docs, redirects, routing rules | website |
| Integrations | CORS, Logging, Replication, Notifications | corsrule, logging, replicationconfiguration |
| Monitoring | Metrics, Inventory, Analytics | metricconfiguration, inventoryconfiguration, analytics_configuration |
| Security Policies | TLS |
The module supports static web-site hosting, access logging, versioning, CORS, lifecycle rules, server-side encryption, object locking, Cross-Region Replication, ELB log delivery bucket policy, ALB/NLB log delivery bucket policy, WAF log delivery bucket policy, Account-level Public Access Block, S3 Directory Bucket, S3 Table Bucket, and S3 Vectors.
The terraform-aws-s3-bucket module creates S3 bucket on AWS with all or almost all features provided by Terraform AWS provider.
Object Ownership, Encryption and Security Defaults
Object ownership control is now part of the module response to a recent AWS S3 update. The module now includes ownership control, allowing users to specify ownership types. The default is ObjectWriter.
Encryption is enabled by default, allowing users to utilize existing AWS Customer Master Keys or create new ones using the module. Additionally it supports Server-Side Encryption. The module follows AWS security best practices by utilizing checkov to ensure compliance.
Versioning is supported which is in this module disabled by default, providing automatic version control. The module provides support for lifecycle configuration.
The module includes support for S3 bucket notifications, enabling users to set up event-driven workflows.
The module offers simplicity through detailed examples, making it user-friendly. It simplifies the process of setting up s3 bucket with the desired configurations.
Log Delivery, Replication and Advanced Bucket Types
Log delivery policies are built into the module with specific attachment flags. The module supports ELB log delivery bucket policy, ALB/NLB log delivery bucket policy, and WAF log delivery bucket policy.
Example usage for a logs bucket with ELB log delivery:
```
module "s3bucketfor_logs" {
source = "terraform-aws-modules/s3-bucket/aws"
bucket = "my-s3-bucket-for-logs"
acl = "log-delivery-write"
Allow deletion of non-empty bucket
forcedestroy = true
controlobjectownership = true
objectownership = "ObjectWriter"
attachelblogdeliverypolicy = true
}
```
Example usage with both ELB and ALB/NLB log delivery:
```
module "s3bucketfor_logs" {
source = "terraform-aws-modules/s3-bucket/aws"
bucket = "my-s3-bucket-for-logs"
Allow deletion of non-empty bucket
forcedestroy = true
controlobjectownership = true
objectownership = "ObjectWriter"
attachelblogdeliverypolicy = true
attachlblogdeliverypolicy = true
}
```
The second example notes that attachelblogdeliverypolicy is required for ALB logs and attachlblogdeliverypolicy is required for ALB/NLB logs.
A basic bucket example shows control of object ownership and versioning:
module "s3_bucket" {
source = "terraform-aws-modules/s3-bucket/aws"
bucket = "my-s3-s3-bucket"
acl = "private"
control_object_ownership = true
object_ownership = "ObjectWriter"
versioning = {
enabled = true
}
}
The module also supports S3 Directory Bucket, S3 Table Bucket, and S3 Vectors as advanced bucket types.
Terraform Foundation Terraform AWS S3 Module and Checkov Compliance
This terraform module creates an S3 Bucket with the options of adding other s3 bucket configurations. The module offers simplicity through detailed examples, making it user-friendly.
The module follows AWS security best practices by utilizing checkov to ensure compliance. It simplifies the process of setting up s3 bucket with the desired configurations. The module provides support for lifecycle configuration.
In response to a recent AWS S3 update, this module now includes ownership control, allowing users to specify ownership types. The default is ObjectWriter.
Encryption is enabled by default, allowing users to utilize existing AWS Customer Master Keys or create new ones using the module. Additionally it supports Server-Side Encryption.
It includes support for S3 bucket notifications, enabling users to set up event-driven workflows. Supports versioning which is in this module disabled by default, providing automatic version control.
Examples are available. A note warns that if you have been using version 2.2.0 or any earlier iteration of this module, it is important to upgrade to the most recent release.
S3 with Terraform Fundamentals from Blog Coverage
Amazon S3 is an object storage service that allows you to store and retrieve large amounts of unstructured data from anywhere on the web. Launched by AWS in 2006, S3 is highly scalable and offers a cost-effective solution for data storage needs.
The article discusses how to use S3 with Terraform, a popular Infrastructure as Code tool. It covers the basics of creating an S3 bucket and applying IAM policies to it to control access. Additionally it explores advanced features that Terraform offers for S3, such as lifecycle rules, versioning, and object-level encryption.
Best practices for using S3 with Terraform include resource tagging, version control, and testing environments. By the end, the reader will have a good grasp on the basics of Interacting with S3 using Terraform.
Prerequisites assume a basic understanding of both Terraform and AWS. If you are not yet familiar with Terraform, feel free to explore a comprehensive introduction to Terraform. In addition you would need the following installed.
The post presents S3 on One Page with no fluff and notes store data efficiently.
Hands-On Provider Setup and Bucket Creation Workflow
Prerequisite steps for a hands-on Terraform S3 bucket creation begin with AWS configuration.
Step 1: Open the cmd if you are in Windows and configure aws using the aws configure command.
aws configure
Step 2: After that open a code editor and make a file called provider.tf. .tf is the file extension for the terraform file. This file will store the information about the cloud provider, version, and region for the s3 bucket.
Use the following code to set the provider, version, and region:
```
terraform {
required_providers{
aws={
source = "hashicorp/aws"
version = "4.33.0"
}
}
}
provider "aws"{
configuration options
region = "us-east-1"
}
```
After this open terminal where this file is located and type terraform init to initialize terraform. The Terraform init command prepares the working directory for use with Terraform. It initialises the backend, any child module installation and any plugin installation.
terraform init
Step 3: Now we have defied our provider. Let's create S3 bucket, make a file called main.tf in the same directory where provider.tf file is located. In this file we have define the resource, bucket name. The bucket name should be unique, here the bucket name is "my-s3-test-bucket02".
The workflow illustrates provider definition, initialization, and resource definition for an S3 bucket with a unique name.
Conclusion
The Terraform S3 module ecosystem spans community maintained bucket provisioning and AWS Storage Gateway virtual appliance deployment. The terraform-aws-s3-bucket module abstracts nearly all S3 bucket configurations supported by the AWS provider while preserving fine-grained control over bucket properties, security settings, and integration with other AWS services. Feature coverage includes static web-site hosting, access logging, versioning, CORS, lifecycle rules, server-side encryption, object locking, Cross-Region Replication, log delivery policies for ELB, ALB/NLB, and WAF, Public Access Block, S3 Directory Bucket, S3 Table Bucket, and S3 Vectors.
Object ownership control defaults to ObjectWriter with explicit controlobjectownership flags. Encryption is enabled by default with support for existing AWS Customer Master Keys and Server-Side Encryption. Versioning is supported but disabled by default in the Terraform Foundation module. Checkov integration supports AWS security best practices compliance.
The AWS Storage Gateway Terraform module provides a customizable automation for provisioning an Amazon S3 File Gateway as a virtual machine in on-premises virtual infrastructure. The module provisions the gateway VM, activates the gateway, configures cache disk, joins the gateway to a domain, creates Amazon S3 buckets, creates file shares, and maps them to buckets. Image naming follows aws-storage-gateway-FILE_S3-1.25.0 with versioned suffixes.
Hands-on usage requires provider configuration with explicit version pinning such as 4.33.0 and region selection, initialization via terraform init, and resource definition with a unique bucket name. Blog coverage emphasizes lifecycle rules, versioning, object-level encryption, IAM policies, resource tagging, version control, and testing environments as best practices for S3 with Terraform.
The combined module landscape enables infrastructure as code for both cloud-native S3 bucket management and hybrid on-premises file gateway connectivity to S3, with community support, security defaults, and extensive feature parity to the AWS provider.