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For the 16th consecutive year, Gartner has recognized Amazon Web Services (AWS) as a Leader in the 2026 Gartner Magic Quadrant for Strategic Cloud Platform Services, and once again placed AWS highest on the Ability to Execute axis. Amazon Web Services (AWS) is the longest-running Leader in this Magic Quadrant. In Gartner’s words: “Amazon Web […]

Enabling single sign-on for AWS Transform with Entra ID ensures that the dozens, sometimes hundreds, of people involved in enterprise migration programs, from application owners and infrastructure engineers to business analysts and program managers, all work inside a single platform. That platform is governed by the same access controls and security policies your organization already […]

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 […]

Organizations running ASP.NET applications face a common dilemma: adding AI capabilities typically means significant refactoring or building entirely new systems. Your existing REST APIs contain years of valuable business logic, but there’s no straightforward path to make them AI-accessible without a rewrite. What if you could keep your code and add intelligence on top? In […]

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 […]

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 […]

Earlier this year we introduced Agentic Readiness as a method for evaluating whether applications can safely support AI agent interaction, and then shipped Agentic Readiness Analysis (ARA) and Modernization Analysis (MODA) as managed transformation definitions in AWS Transform. Those analyses gave you per-repository and portfolio-level assessments you could run on demand via the ATX CLI. […]

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 […]