S3 Vectors offers massive scale with support for 1 billion vectors and low costs, improving query latencies to 100ms and enhancing regional availability.

Amazon S3, Vectors, Scale, Performance, AWS

AWS enhances Amazon Bedrock and SageMaker AI to simplify the creation of custom models, making development easier for engineers.

AWS, LLMs, Amazon Bedrock, SageMaker, model creation

AWS Transform modernizes Windows apps using agentic AI, accelerating processes by 5x and reducing costs by 70%. Streamline your full-stack Windows modernization efficiently.

AWS, Windows modernization, agentic AI, .NET Framework, SQL Server

Explore how different abstractions can shield your system from change or create complexity, impacting performance and becoming technical debt.

abstractions, .NET, technical debt, performance, complexity

Learn to integrate GitHub Models into .NET apps for AI features quickly, using standard .NET tools and a complete workflow example.

AI, .NET, GitHub Models, integration, workflow

Learn about the dotnet-monitor dashboard and its integration with Grafana for monitoring .NET applications.

dotnet-monitor, Grafana, dashboard, .NET, monitoring

Learn to deploy .NET 6 apps on AWS ECS Fargate with dotnet-monitor as a sidecar for profiling using its HTTP API.

AWS, Fargate, ECS, .NET, dotnet-monitor, profiling

Learn to diagnose .NET 6 performance in Kubernetes using dotnet-monitor. Covers tools, sidecar containers, and dump analysis.

dotnet-monitor, Kubernetes, .NET 6, diagnostics

Martin Fowler discusses how AI is reshaping software architecture, emphasizing both modern techniques and enduring engineering principles.

AI, software architecture, engineering principles

Learn to enhance agent-user interactions using Microsoft Agent Framework with AG-UI integration in this practical guide.

Microsoft, Agent Framework, AG-UI, integration, software engineering