In January 2026, Microsoft and NVIDIA released the second iteration of the NVIDIA Dynamo Planner—a groundbreaking tool for optimizing large language model (LLM) inference on Azure Kubernetes Service (AKS). This collaboration addresses one of the most challenging aspects of production AI: efficiently scaling GPU resources to balance cost, latency, and throughput. This comprehensive guide explores […]
Read more →Category: Cloud Computing
Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, as with the electricity grid.
Cloud computing is a natural evolution of the widespread adoption of virtualization, Service-oriented architecture and utility computing. Details are abstracted from consumers, who no longer have need for expertise in, or control over, the technology infrastructure “in the cloud” that supports them.[1] Cloud computing describes a new supplement, consumption, and delivery model for IT services based on the Internet, and it typically involves over-the-Internet provision of dynamically scalable and often virtualized resources.[2][3] It is a byproduct and consequence of the ease-of-access to remote computing sites provided by the Internet.[4] This frequently takes the form of web-based tools or applications that users can access and use through a web browser as if it were a program installed locally on their…
Microsoft Acquires Osmos: Agentic Data Engineering Comes to Microsoft Fabric
In January 2026, Microsoft announced the acquisition of Osmos, an agentic AI data engineering platform that automates complex data transformation, integration, and quality tasks. This acquisition signals Microsoft’s commitment to bringing autonomous AI agents into the data engineering workflow within Microsoft Fabric. For data engineers struggling with repetitive ETL development, schema mapping, and data quality […]
Read more →Azure Container Apps Dynamic Sessions: Secure Code Execution for AI Agents
AI agents that can write and execute code introduce significant security risks—from data exfiltration to resource abuse. Azure Container Apps Dynamic Sessions provides a solution: ephemeral, sandboxed execution environments that isolate agent-generated code from your production infrastructure. This comprehensive guide explores how to implement secure code execution for AI code interpreters, automated testing agents, and […]
Read more →.NET Aspire 10: Cloud-Native Development from Local to Azure
.NET Aspire 10, released alongside .NET 10, represents Microsoft’s answer to the complexity of cloud-native development. It provides an opinionated, orchestrated approach to building distributed applications with built-in service discovery, health checks, telemetry, and deployment automation. This comprehensive guide explores Aspire’s architecture, the developer experience improvements in version 10, and patterns for deploying Aspire applications […]
Read more →Azure SDK January 2026: Microsoft Foundry Agents Service, GPT-5 Integration, and Knowledge Base APIs
Microsoft’s January 2026 Azure SDK release represents the most significant AI-focused update in the SDK’s history. This release introduces the Microsoft Foundry Agents Service integration, support for GPT-5, GPT-5-mini, and GPT-5-nano models in Azure AI Search, and a complete rebranding of “Knowledge Agent” to “Knowledge Base” with expanded capabilities. In this comprehensive guide, we’ll explore […]
Read more →From AI Pilots to Production Reality: Architecture Lessons from 2025 and What 2026 Demands
A Beginning-of-Year Reflection for Enterprise Architects and Technical Leaders As we step into 2026, it’s worth pausing to reflect on the seismic shifts that defined enterprise architecture in 2025—and the hard lessons learned when AI hype met production reality. What began as breathless excitement around generative AI and LLMs has matured into a more nuanced […]
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