When you move AI agents from prototype to production, the infrastructure challenges multiply. Your agents need to persist state across multi-step workflows that run for hours or days. They need to coordinate with other agents, share context, and sometimes access GPUs for specialized tasks. Amazon Bedrock AgentCore runtime microVMs provide a fully managed environment for […]
Category Archives: Blog
For years, the deepfake video problem was easier to warn about than to demonstrate. Journalists wrote the warnings. Legislators drafted policy frameworks. Security researchers ran the simulations. And yet, despite the genuine technical threat, the forgeries themselves often remained unconvincing enough that public alarm failed to catch hold. The faces were wrong, the lip movements […]
Today, we’re announcing the general availability of vector search in Amazon DynamoDB. You can now store vector embeddings alongside your operational data in DynamoDB and run similarity searches directly against that data, without replicating it to a separate vector store. DynamoDB supports native vector search with single-digit millisecond latency at 99%+ recall, and is designed […]
Zak van der Merwe has spent his entire career at AWS building control planes. First for EC2 and now for DSQL. On the surface, the control plane looks quite boring: it records what should exist and reconciles that with what actually does. Nobody leaves school dreaming of building one, but Zak will be the first […]
The question sounds tactical. It is not. Choosing between managed and self-managed Kubernetes shapes your team’s operational burden for years, determines which compliance paths are even available to you, and ultimately decides whether your platform engineers spend their time on product-adjacent work or on etcd certificate rotation. The answer depends less on technical preference than […]
Last week I had the joy of participating in Amazon’s “Bring Your Kids to Work Day” with my 7 year old son. We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to […]
There is no single best DevOps tool. That statement sounds obvious, but the industry’s habit of treating toolchain decisions as popularity contests suggests the lesson hasn’t fully landed. The real question isn’t which tool is best in absolute terms – it’s which problem your pipeline has right now, and which category of tool addresses that […]
The 2026 Forbes AI 50 is framed as a showcase of AI’s breadth. Fifty companies. Domains spanning law, medicine, music, and robotics. A portrait of a maturing industry diversifying beyond its foundational models. The concentration numbers tell a different story. The Capital Concentration That Defines the List OpenAI and Anthropic together have raised $242.6 billion […]
The most expensive mistake a team can make right now is buying the wrong category of AI coding tool, not the wrong brand within a category. This distinction matters more than any feature comparison. The market has split into two camps: assistants and agents. GitHub Copilot, Tabnine, and Gemini Code Assist sit on the assistant […]
1. “How will you prove that the modernized system behaves like the existing production system?” I want an answer that defines functional equivalence in measurable terms and explains how it will be demonstrated across business outputs, numeric precision, interfaces, performance, error handling, and restart behavior. The vendor should describe how it builds the baseline, generates […]