Category: Artificial Intelligence

Introduction A network migration to AWS moves more than a topology. It also moves the decisions baked into that topology: VLANs grouping unrelated workloads that should have been segmented long ago, firewall rules written for an infrastructure that is now decommissioned, and address ranges fragmented by rack placement rather than logical boundaries. A migration is […]

Introduction You are about to rebuild a mainframe application that has run your organization for 30 years, and here is what most teams underestimate going in: the rebuild is not the hard part. Knowing what you are replacing is. A mainframe estate holds thousands of business rules. They are spread across legacy languages it was […]

This post is co-written with Reshma Nuggehally, Jai Bagmar and Kanai Lal Dutta from Accenture Background: Organizations running mainframes face a critical challenge: 90% are pursuing cloud modernization, yet organizations have transitioned fewer than 20% of workloads. Rising operating costs, retiring talent, and rigid architectures demand a fundamentally different approach. In this post, we explore how […]

Collecting structured data from dozens of distributed stakeholders (whether for cloud migration planning, compliance assessments, vendor onboarding, or security reviews) is a persistent bottleneck in enterprise workflows. Teams typically rely on emailed spreadsheets, which generate weeks of follow-ups, inconsistent responses, and manual reconciliation. This post shows how to build a conversational data collection agent on […]

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 […]