![]() #cloudspikes #aws #vpc #sagemaker #devops □ Contact Dhruv R. □□ for more information ℹ️ The following diagram illustrates our solution architecture. All SageMaker Studio traffic is through the specified VPC and subnets.Ģ️⃣ Update your SageMaker Studio domain to turn on SourceIdentity to propagate the user profile name.ģ️⃣ Create an AWS Identity and Access Management (IAM) role in the Amazon Redshift producer account that the SageMaker Studio IAM role will assume to access Amazon Redshift.Ĥ️⃣ Update the SageMaker IAM execution role in the SageMaker Studio consumer account that SageMaker Studio will use to assume the role in the producer Amazon Redshift account.ĥ️⃣ Set up a peering connection between VPCs in the Amazon Redshift producer account and SageMaker Studio consumer account.Ħ️⃣ Query Amazon Redshift in SageMaker Studio in the consumer account. This prevents SageMaker from providing internet access to your studio notebooks. ![]() The following is a high-level overview of the workflow:ġ️⃣ Set up SageMaker Studio with VPCOnly mode in the consumer account. We start with two AWS accounts: a producer account with the Amazon Redshift data warehouse, and a consumer account for Amazon SageMaker ML use cases that has SageMaker Studio set up. This can be particularly useful for certain security requirements, as well as to simplify cost controls and monitoring between projects and teams. □ As described in the Amazon Web Services (AWS) Well-Architected Framework, separating workloads across accounts enables your organization to set common guardrails while isolating environments. Organizations often want to use SageMaker Studio to get predictions from data stored in a data warehouse such as Amazon Redshift. □ Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse. You can perform all ML development steps and have complete access, control, and visibility into each step required to build, train, and deploy models. □ Amazon SageMaker Studio is the first fully integrated ML development environment (IDE) with a web-based visual interface. ![]() With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. ![]()
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