News For Dev-ops

Amazon GameLift Streams now supports assigning an IAM role to a stream session, enabling your application to securely access resources in your AWS account, such as Amazon S3 buckets and DynamoDB tables. With this launch, you can pass a RoleArn parameter when starting a stream session, and your application automatically receives short-lived, auto-refreshing AWS credentials through the standard AWS SDK credential resolution chain — no application code changes required. Previously, customers who needed their streamed applications to access AWS services had to embed long-lived access keys in application bundles or pass them as environment variables, creating security and operational challenges. Now, Amazon GameLift Streams handles credential vending and automatic refresh using the same container credential provider mechanism trusted by Amazon ECS task roles and Amazon EKS Pod Identity. Role misconfigurations are validated at session start, surfacing clear errors immediately rather than d...

You shipped a skill that calls an API. The agent uses it, user get results. But how do you know the results are good ? How do you know your last change didn't quietly break the happy path, or that switching models won't regress the scenarios you already got right? You need to evaluate. Run your skill through a set of scenarios, score the outputs, compare across iterations. Without that, you're shipping blind and hoping for the best. The problem nobody warns you about The moment you start evaluating a skill that calls an API, things get complicated. If that API belongs to an external service, every eval run costs money. Say you're running 50 scenarios across 3 models with 5 repetitions per scenario. That's at least 750 API calls per session. Multiply by every iteration as you tune prompts and try different models. The meter is running, and you're paying for test traffic that produces no user value. But even when the API is yours and costs nothing to c...

We’re excited to announce the general availability of unified manifest support for Word, Excel, PowerPoint Add-ins, in addition to Outlook Add-ins . Unified manifest support first launched for Outlook Add-ins. Now, it extends across Word, Excel, and PowerPoint, making it possible to build a single app that works across Microsoft 365 apps. This update helps developers deliver a more consistent experience for users and gives IT admins a simpler deployment model. Why it matters The unified manifest brings Microsoft 365 extensibility closer to a single, consistent model for Teams apps, Office Add-ins, and Copilot agents. Developers have already used the unified manifest in Outlook Add-ins to simplify distribution, reduce customer friction, and increase adoption. A common request was to bring these same benefits to Word, Excel, and PowerPoint Add-ins. Over the last two years, teams across Microsoft have invested in making this possible. You can now bring existing add-ins forward with less ...

Amazon Aurora DSQL is now in scope for FedRAMP Moderate in the US East (Ohio), US East (N. Virginia), and US West (Oregon) Regions. You can now use Aurora DSQL to build applications and run workloads that are subject to FedRAMP Moderate compliance requirements. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. Amazon Aurora DSQL is the fastest serverless, distributed SQL database, with active-active high availability and multi-Region strong consistency. It enables you to build always-available applications with virtually unlimited scale, the highest availability, and zero infrastructure management. To learn more about FedRAMP , visit the AWS services in scope page . To learn more about Amazon Aurora DSQL, visit the Aurora DSQL webpage and documentation . Post Updated on July 16, 2026 at 01:00AM

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in the AWS Europe (Frankfurt, Stockholm) and Asia Pacific (Mumbai) Regions. G7e instances offer up to 2.3x inference performance compared to G6e. Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVI...

AWS Glue SAP OData connector and zero-ETL integrations are now available in AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions, with support for Amazon DynamoDB, Salesforce, and SAP OData as sources. Customers operating in regulated environments can now replicate data from these sources into Amazon Redshift, Amazon S3, or other supported destinations without building or maintaining custom data pipelines. The SAP OData connector allows you to extract data from SAP systems exposing OData services, eliminating the need for custom extraction logic or third-party middleware. The zero-ETL integrations are fully managed by AWS and minimize the need to build ETL data pipelines. With this new zero-ETL integration, you can efficiently extract and load valuable data from your Amazon DynamoDB databases or Salesforce and SAP applications into your data lake and data warehouse for analysis. Zero-ETL integration reduces your operational burden and saves the weeks of engineering effort needed...