Category: Amazon Bedrock

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 […]

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.

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 […]

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, […]

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 […]

Introduction Organizations maximizing cloud value through AI-powered acceleration have a competitive advantage, a stark contrast to the 56% of CEOs reporting zero return on their AI investments according to PwC. Despite billions invested across the industry, more than half of business leaders see neither increased revenue nor decreased costs from AI initiatives. Yet 12% who […]

Most cloud engineers today still spend time chasing pages, triaging incidents, and scaling infrastructure manually. That is about to change. AI agents are beginning to take over this operational burden. Engineers who understand this shift early will be the ones who define how it unfolds. Written as a fictional log entry from 2031, this blog […]

In this blog post, I will demonstrate a pattern to modernize your existing application by adding agentic AI capability to it without touching the source code of your legacy application. I will do that by offloading the heavy lifting of this transformation to Amazon Bedrock AgentCore Gateway and Kiro powers. For the purposes of this […]

AWS offers several generative AI services that transform VMware workload migrations into a streamlined, automated process. By using agentic AI technology, organizations can now accelerate their cloud journey while maintaining operational excellence and reducing risk. AI powered migration tools can assess your on-premises servers in VMWare environments to map complex application dependencies, recommend optimized resource […]

We are excited to announce the launch of ‘Move to AI’ Modernization Pathway. It provides organizations with a structured approach to identify and implement high-impact artificial intelligence (AI) opportunities within their application portfolio. This addition to our comprehensive suite of Modernization Pathways provides an effective way to unlock innovation, automate workflows, and enhance customer experiences. […]