Migration & Modernization
Automate Your Landing Zone Creation with AWS Transform
When enterprises embark on their cloud migration journey, they bring years of operational maturity from running their workloads on-premises: separate environments for development, testing, and production, often segmented by business unit, with dedicated infrastructure, network boundaries, and identity controls for each. Translating these well-established patterns into cloud-native constructs like account structures, organizational units (OUs), and […]
Accelerating migration assessments and planning with AWS Transform
Introduction Migration assessment and planning is rarely a single-pass exercise. Inventory data is incomplete; assumptions shift as more stakeholders get involved, and new scenarios emerge as the strategy evolves. Traditional assessment workflows struggle with this reality because they treat each assessment as a one-shot report: collect data, run analysis, deliver a static business case, and […]
Speed to Value: Why Migrate-First Still Wins at Scale
Introduction Lift-and-shift has a reputation problem. Ask any enterprise architect and you’ll get a wince. “We just moved our problems to the cloud.” That criticism has a grain of truth – but only when migration is treated as the end goal. The real question is whether it’s the right first step. Often, it is. Here’s […]
Beyond Mainframe Modernization: Reimagining Enterprise Applications for an Agentic World
The term ‘mainframe modernization’ is itself out of date. Modernization used to mean upgrading the technology. AI has made it about reimagining the business. Introduction The term “mainframe modernization” has been associated with infrastructure and technology modernization projects rather than business transformation. This covers a wide range of projects with very different objectives: application and […]
Classifying Your AI migration to Plan for Success
An AI migration means different things to different teams, and that ambiguity is expensive. Are you migrating with AI, to AI, or from AI? The answer shapes your staffing plan, governance model, and timeline, because each motion carries a different risk profile and demands a different set of skills. Gartner found that by the end […]
Migrate Your AI Workloads to Amazon Bedrock with AWS Transform
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 […]
How to size your AWS Outposts rack configuration from server inventory
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 […]
Replacing Netflix Conductor with AWS Step Functions: What We Learned
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 […]
How AWS Is Using Agentic AI To Reinvent Infrastructure Modernization
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 […]
Consistent Code Modernization at Scale with AWS Transform Custom Knowledge Items
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 […]









