Category: Learning Levels

Most enterprise engineering organizations have deployed AI tooling broadly across teams. The per-team productivity gains are real. But end-to-end improvement hasn’t followed. Backlogs aren’t shrinking. Cycle times haven’t compressed. Tech debt is still growing. The tools aren’t broken. The problem is structural: each team accelerated independently, and the spaces between them are now the entire […]

Increasing your cluster density by using Memory Tiering within the Amazon Elastic VMware Service (Amazon EVS) can help drive down the costs of your AWS infrastructure. Amazon EVS now supports VMware Cloud Foundation (VCF) 9.0 and 9.1 . In VMware Cloud Foundation (VCF) 9.0 Memory Tiering was introduced, which is a new feature within ESX […]

Many organizations run business-critical workloads on VMware, and most know that a single outage can disrupt operations, impact customers, and put revenue and reputation at risk. Disaster recovery (DR) is the solution: a secondary environment ready to take over when the primary site goes down. But building one has traditionally meant heavy upfront investment, long […]

Introduction Amazon Elastic VMware Service (Amazon EVS) now supports NSX Federation, giving you a powerful new option for enterprise-scale networking, disaster recovery, and multi-site networking when running VMware workloads on AWS. NSX Federation is a VMware networking capability that connects multiple NSX environments under a single Global Manager control plane. It extends overlay networking, security […]

As organizations migrate to AWS at scale, connecting migrated instances to their new storage is a common bottleneck. When workloads move from on-premises NFS servers to Amazon FSx for NetApp ONTAP, teams often mount file systems by hand, minutes per instance that add up to weeks across hundreds or thousands of servers. This solution combines […]

When a service evolves quickly, knowing where to look for the latest changes matters just as much as the changes themselves. Today, we’re introducing the AWS Transform for migrations Release Notes. This Releases Notes page, part of the Change Log, the single page where product updates are captured, such as new features and behavioral changes. […]

An AWS Transform custom agent converts PyTorch and Triton kernels to NKI for AWS Trainium, compiling, verifying, and profiling every candidate on real hardware. The same Claude model that cold-solves 6% of kernels reaches 83% inside the agent’s verify-and-fix loop.

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 […]

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 […]

No matter how thorough your planning, large-scale migrations will surface edge cases that no runbook anticipates. The difference between a stalled project and a successful one often comes down to how quickly your team can diagnose, resolve the unexpected and whether those lessons feed back into your process. This post distills that operational knowledge into […]