Migrating SAS to AWS involves either rehosting SAS 9 workloads on Amazon EC2 instances, or modernizing by migrating to SAS Viya on Amazon Elastic Kubernetes Service (Amazon EKS). This transition unlocks massive scalability, lower infrastructure costs, and direct integration with modern cloud data lakes.
Key Migration Strategies
Replatforming to SAS Viya(Lift and Shift): Modernizing your workloads by migrating to SAS Viya on AWS. Viya is natively designed for cloud deployments, processes data in-memory, scales automatically, and integrates seamlessly with open-source tools like Python and R.
Core Steps to Execute the Migration
Assess and Plan: Identify dependencies, user access controls, and data integration pipelines. For a holistic view, check out the AWS Prescriptive Guidance for Migrating SAS Viya.
Right-Size Infrastructure: Select EC2 instances (like Compute Optimized or Memory Optimized) that deliver the high CPU and I/O bandwidth your SAS analytical workloads demand.
Migrate Content & Metadata: Export/import your existing SAS metadata, libraries, and users. Migrate manually if needed, especially if transitioning from SAS 9.4 to SAS Viya, as it requires a content migration rather than a full-system move.
Test and Validate: Conduct rigorous functional and system testing to confirm performance levels and ensure data integrity are maintained on AWS.