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Dustin Ward

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AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026)

By Dustin Ward

Just a year ago, we launched AWS Transform for .NET, Mainframe and VMware workloads, the first agentic AI service purpose-built for modernizing enterprise applications at scale. At re:Invent 2025, we introduced AWS Transform custom, which…

Amazon Bedrock introduces new advanced prompt optimization and migration tool

By Dustin Ward

Today, we’re announcing Amazon Bedrock Advanced Prompt Optimization, a new tool that you can use to optimize your prompts for any model on Amazon Bedrock, while comparing your original prompts to optimized prompts across up…

From commit to cloud: Powering what’s next for PostgreSQL

By Dustin Ward

PostgreSQL has become foundational to how modern applications are built. It powers everything from early‑stage startups to some of the most demanding production systems in the world. Its longevity isn’t accidental, it’s the result of…

Advancing enterprise AI: New SAP on Azure announcements from SAP Sapphire 2026

By Dustin Ward

In this article AI is reshaping how enterprises operate, make decisions, and innovate at scale Frontier innovation for ERP systems Your agentic intelligence Putting enterprise AI into production Advancing a new era of AI collaboration…

Red Hat Summit 2026: Platform modernization and AI on Microsoft Azure Red Hat OpenShift

By Dustin Ward

At Red Hat Summit 2026, Microsoft and Red Hat highlight how Microsoft Azure Red Hat OpenShift supports modernization and production AI workloads—helping organizations move from AI pilots to production systems with consistent governance, security, and…

Build AI apps with Azure Cosmos DB: Key trends from Cosmos Conf 2026

By Dustin Ward

Every year, Azure Cosmos DB Conf offers a window into how modern applications are built—not in theory, but in production at global scale. This year, the key theme from Cosmos Conf was clear: AI is…

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Recent Posts

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  • Azure IaaS: Deploy high-performance workloads with a system-level approach

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