Migration & Modernization

Today, we’re announcing the model-to-model migration assessment custom transformation for AWS Transform, an AI agent that assesses your generative AI applications and produces a comprehensive migration plan for moving from other GenAI providers to Amazon Bedrock. Enterprises that built generative AI on OpenAI, Google Gemini, or direct Anthropic APIs find that scaling to production demands more than […]

You may need to run workloads in your data center on AWS Outposts for low-latency access to on-premises systems, data residency requirements, or local data processing. With Outposts, you get the same AWS APIs, instance types, and tools available in the AWS Region, on hardware that AWS delivers, installs, and manages in your facility. But […]

Introduction Accelerate your business transformation by migrating from Netflix Conductor to AWS Step Functions. This strategic move offers significant benefits: Cost Reduction: Eliminate infrastructure management costs and take advantage of AWS’s pay-per-use model. Increased Reliability: Benefit from AWS’s fully managed service with a 99.9% availability SLA. Enhanced Scalability: Scale to up to 1 million open […]

Traditional VMware migrations have long suffered from fragmentation and inflexibility. Enterprises had to cobble together disconnected tools for discovery, planning, network configuration, and rehosting, each requiring specialized expertise and lengthy manually orchestrated handoffs. These rigid, rules-based tools can’t adapt to each customer’s unique environment, resulting in compounding costs, expensive customizations, and timelines that stretch into […]

Introduction AWS Transform Custom (ATX) automates code modernization at scale. What makes it different from running an AI coding assistant on each repo is that it learns. Each execution captures patterns, fixes, and edge cases as reusable knowledge, so transformations get faster and more reliable with every run. If you’ve got hundreds of Java 8 […]

When the bottleneck is not your agent, but the applications it depends on Introduction You design an agentic workflow to automate order fulfillment without first evaluating whether your applications are ready for agent interaction. The agent monitors incoming orders, validates inventory, authorizes payment, and triggers shipping. In isolation, each step works. In production, the dependencies […]

Your VP of Engineering wants to know which of your 200 services to modernize first. Your AI team wants to deploy agents against your order management system next quarter. Your CISO wants to know what happens when an autonomous agent calls an API that was built in 2014 with hardcoded credentials and no rate limiting. […]

This post has been co-written by Damien Santé from CAST Introduction Enterprise organizations exploring agentic AI face a common challenge: with hundreds or thousands of applications in their portfolio, how do you determine which systems are ready for autonomous AI agent interaction, and which need modernization first? In our previous post we described agentic readiness […]

Introduction When you run VMware workloads on AWS, getting the right support quickly matters. Today, we’re sharing that Amazon Elastic VMware Service (Amazon EVS) customers can now contact AWS or Broadcom for VMware Cloud Foundation (VCF) support. With this change, you can connect directly to the support organization best positioned to resolve your specific issue, […]

Summary Migrating data from Azure Blob Storage to Amazon Simple Storage Service a common requirement for organizations consolidating on AWS or adopting multi-cloud storage strategies. AWS DataSync makes this agentless migration simple — no VMs to deploy, no agents to manage. Whether you’re consolidating storage on AWS, reducing cross-cloud egress costs, or unlocking AWS-native analytics […]