Cloud adoption is a major goal for many organizations today, but it can be a complex and daunting journey. Adopting Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation can simplify the process by allowing businesses to define and manage their cloud environments. However, such tools often require time and resources to learn, which could push back cloud migration timelines and increase costs.
In response to these challenges, Amazon offers its fully managed service called Amazon Bedrock, which utilizes generative artificial intelligence (AI) to assist in cloud migration processes. Supported by leading AI companies like AI21 Labs and Meta, Amazon Bedrock helps generate Terraform and CloudFormation scripts tailored to an organization’s needs, emphasizing security and compliance best practices.
The process usually starts with users inputting high-level architecture descriptions into Amazon Bedrock. The generative AI then creates a baseline configuration of Terraform scripts aligned with the organization’s unique requirements and industry security and compliance standards. This not only accelerates the migration process but also presents a standardized, secure cloud infrastructure. Additionally, Bedrock helps those learning IaC by providing standard templates for initial script drafts.
AWS Landing Zone, which provides a standardized approach to deploying AWS resources, comes in handy here. It helps build cloud foundations adhering to AWS best practices while taking care of security configurations, resource provisioning, and account management. It’s particularly beneficial for organizations aiming to scale without compromising governance or control.
Amazon Bedrock can be used with AWS Landing Zone to generate customized and compliant IaC scripts. In the AWS Landing Zone architecture, platform teams across different domains develop and publish certified or custom modules. Meanwhile, the Account Vending Machine layer uses AWS Control Tower or AWS Account Factory for Terraform to vend accounts in response to application owner requests.
Amazon Bedrock, through its generative AI features, helps automate Terraform code creation for migrating application infrastructure. It does this by deriving Terraform code from architectural descriptions, with the code being tailored based on organizational best practices, security, and regulatory guidelines.
A key component of this process aligns Amazon Bedrock with AWS Landing Zone via a Lambda function used for generating custom, compliant Terraform scripts. This function transforms architectural inputs into compliant code, using both Amazon Bedrock and knowledge bases.
Start making your cloud migration smoother with generative AI in Amazon Bedrock, and apply these insights to daily operations beyond migration, like ongoing infrastructure and cost optimization. This post focuses on Terraform, but these principles can also enhance AWS CloudFormation deployments and provide flexible solutions for your infrastructure needs.
