This blog outlines two agentic AI solutions from AWS that simplify VMware workload migration: AWS Transform for VMware, which accelerates assessment and planning while automating network conversion and sizing recommendations, and Amazon Bedrock multi-agent collaboration, which coordinates specialized agents to manage complex, multi-step transformations. Read the blog and contact DML-KKC Companies to explore how these tools can support your VMware migration needs.
What is AWS Transform for VMware?
AWS Transform for VMware is an AI-powered tool designed to streamline the migration of VMware workloads to AWS. It automates the assessment of on-premises servers, analyzes VMware infrastructure, and generates AWS-equivalent configurations and migration plans. This process typically takes 1-2 days, significantly faster than the 2-3 weeks required by traditional methods, making it suitable for organizations looking for quick and standardized migration solutions.
How does Amazon Bedrock enhance migration processes?
Amazon Bedrock enhances migration processes by providing a multi-agent collaboration framework that manages complex migration tasks. It includes a primary supervisor agent that coordinates specialized sub-agents, each focused on different aspects of the migration. This setup allows for efficient handling of intricate application dependencies and custom transformation patterns, making it ideal for organizations with complex migration scenarios that require specialized expertise.
When should I choose AWS Transform over Amazon Bedrock?
AWS Transform for VMware is best suited for straightforward VMware-to-AWS migrations where rapid assessment and standardized planning are needed. It is particularly beneficial for organizations with limited cloud expertise or those focused on rehosting scenarios. In contrast, Amazon Bedrock is recommended for more complex migrations that require specialized knowledge and custom approaches, making it essential to evaluate the complexity of your migration needs before choosing between the two.