News For Dev-ops

What happens when developers who have spent decades working with Visual Studio start rethinking how they write code, learn new skills, and expand their access to development tools?   At VSLive! San Diego, we had an opportunity to find out as developers gathered for five days of technical sessions, hands-on learning, and conversations about Visual Studio, .NET, AI, cloud, data, and modern application development.    One of the most interesting things we heard in San Diego was how readily experienced developers are adopting new tools and workflows.   GitHub Copilot is part of that story, and developers aren't limiting themselves to a single AI experience. They're building broader, more differentiated tool kits. But they aren't necessarily replacing familiar tools. They're expanding how they work, choosing different experiences depending on the task, and finding new ways to solve problems.    This is why events like VSLive! provide such an amazing opportunity for d...

Today, AWS Security Hub adds resource criticality to exposure prioritization, helping central security teams focus on the exposures that threaten their most business-critical resources. You can set criticality with an automation rule, for example marking every compute resource in a specific account as Very High. The rule applies to resources already in your inventory and to new resources as Security Hub discovers them. Security Hub also infers criticality from resource tags and resource names, with no configuration required, and records which source determined the value. Criticality appears as a column on the Resources page for sorting, filtering, and grouping, and on the Impact assessment tab of an exposure finding. Resource criticality is included with Security Hub Essentials at no additional cost and is always on for all customers. Resource criticality is included with Security Hub Essentials at no additional cost and requires no new enablement. To learn more, see  AWS Securit...

Amazon Location Service now offers a complete, interactive API Playground that lets developers explore and test every Places, Routes, and Maps API visually without writing code. With this release, all 14 Amazon Location Service Places, Maps and Routes APIs are available in an interactive API Playground, where developers can make real API calls, see results rendered on an interactive map, adjust parameters, and copy ready-to-use request snippets directly into their applications. The API Playground covers Amazon Location Service's Places, Routes, and Maps APIs: search and geocoding (Geocode, ReverseGeocode, Autocomplete, Suggest, SearchText, SearchNearby, and GetPlace), route planning and optimization (CalculateRoutes, CalculateRouteMatrix, CalculateIsolines, OptimizeWaypoints, and SnapToRoads), and mapping (Dynamic Map and GetStaticMap). Customers can simulate validating delivery addresses, planning truck-safe multi-stop routes, visualizing drive-time service areas, or embedding ma...

Amazon Elastic Compute Cloud (Amazon EC2) G7 instances powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs are now available in Europe (Frankfurt) and Europe (Stockholm) Regions. G7 instances deliver up to 4.6x AI inference performance and up to 2.1 graphics performance compared to G6 instances. G7 instances also deliver faster performance for GPU-accelerated data analytics workloads. Customers can use G7 instances for deploying AI models for language translation, video and image analysis, speech recognition and recommender systems. They also accelerate graphics workloads such as creating and rendering real-time, cinematic-quality graphics and game streaming. Additionally, G7 instances support video transcoding, spatial computing, and data analytics workloads. G7 instances feature up to 8 NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs with 32 GB of memory per GPU and custom Intel Xeon 6 processors. They support up to 192 virtual CPUs (vCPUs) and up to 700 Gbps of Elastic F...

AWS Lambda announces Lambda Web Functions, a new serverless compute primitive where your code handles HTTP requests directly. Your code listens on a port and handles requests as it would on any HTTP server. You use frameworks you already know, such as Express or Hono, with no adapters or custom configuration. This enables you to serve workloads such as AI inference endpoints, server-side rendered (SSR) web apps, streaming API endpoints, microservices, and webhooks. You pay for active CPU time and the memory your environment holds, not for idle CPU time your code spends waiting on databases or downstream services. With this launch, we are also renaming existing Lambda functions to Lambda Event Functions, a naming change only that requires no code changes or redeployments for your existing functions. Builders use Lambda to go from code to production quickly and without managing servers, across event-driven pipelines, request-response APIs, and data processing. As AI-driven development a...

Amazon EMR now validates data quality natively within Apache Spark jobs. Data engineering teams can catch quality issues inline before bad data reaches downstream systems, without building or maintaining separate validation infrastructure. Amazon EMR Data Quality, powered by AWS Glue, is available at no additional cost and uses the same declarative rules language (Data Quality Definition Language) and APIs as AWS Glue for a consistent experience across both engines, and works with Apache Iceberg, Apache Hudi, and Delta Lake across EC2, EKS, and Serverless deployment modes. With this feature, you can author validation rules in your Spark scripts or reference rules stored in the AWS Glue Data Catalog, and then apply them at any stage of your pipeline i.e., after reading data, during transformation, or after processing. With 30+ rule types, including dynamic rules that compare against historical runs and ML-based anomaly detection for tracking drift over time without specifying fixed thr...