Category: AWS Transform

Organizations running migration projects don’t always operate in a single shared language. Migration teams span geographies, and the people closest to the workloads are often the ones who understand dependencies, business context, and operational risk. They need to work in the language they’re most comfortable with. Today, we’re announcing local language support for the AWS Transform migrations […]

Planning is a critical phase of any cloud migration. You invest significant time coordinating across stakeholders and mapping dependencies to build detailed wave plans. Yet despite this effort, many plans quickly diverge from reality as infrastructure changes, applications get updated, and business priorities shift. An inaccurate plan carries real risk: a migration wave can fail […]

A month ago, I shared our learnings from AWS Transform’s first year—4.5 billion lines of code processed, 1.6 million hours saved for customers. We’ve continued to scale rapidly: now at 7 billion lines of code and an estimated 2 million hours saved. But it’s not just the numbers. I’m even more excited to share several […]

Enterprises need their core systems to support business transformation and AI. When those systems are undocumented mainframe monoliths, they become the bottleneck. Reverse engineering a mainframe application, capturing its business intent, and translating that into modern code could take months or years for even a small set of business functionality. Many organizations settled for migration […]

Introduction Consider a team with over 400 servers to migrate, dozens of applications with varying dependencies, and multiple teams waiting on cutover windows. Every migration is unique, yet the challenges remain consistent. Teams struggle with manual tracking through spreadsheets, human errors in repetitive tasks like agent installation and DNS updates, decentralized orchestration across disconnected consoles, […]

Introduction If your organization runs VMware workloads on-premises or in another cloud and needs to migrate to AWS without disrupting operations, Experience-Based Acceleration (EBA) provides a proven path to do it fast. Using a structured three-day EBA workshop with AWS, organizations have moved multiple critical applications to AWS in days. Their engineers built hands-on migration […]

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 […]

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 […]

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 […]

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 […]