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OpenSearch OR2 and OM2 instances in AWS GovCloud (US-East, US-West) Regions - devamazonaws.blogspot.com

Amazon OpenSearch Service, expands availability of OR2 and OM2, OpenSearch Optimized Instance family to 12 additional regions. The OR2 instance delivers up to 26% higher indexing throughput compared to previous OR1 instances and 70% over R7g instances. The OM2 instance delivers up to 15% higher indexing throughput compared to OR1 instances and 66% over M7g instances in internal benchmarks The OpenSearch Optimized instances, leveraging best-in-class cloud technologies like Amazon S3, to provide high durability, and improved price-performance for higher indexing throughput better for indexing heavy workload. Each OpenSearch Optimized instance is provisioned with compute, local instance storage for caching, and remote Amazon S3-based managed storage. OR2 and OM2 offers pay-as-you-go pricing and reserved instances, with a simple hourly rate for the instance, local instance storage, as well as the managed storage provisioned. OR2 instances come in sizes ‘medium’ through ‘16xlarge’, and of...
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[MS] Go 1.26.1-1 and 1.25.8-1 Microsoft builds now available - devamazonaws.blogspot.com

A new release of the Microsoft build of Go including security fixes is now available for download . For more information about this release and the changes included, see the table below: Microsoft Release Upstream Tag v1.26.1-1 go1.26.1 release notes v1.25.8-1 go1.25.8 release notes Post Updated on March 6, 2026 at 04:23PM Thanks for reading from devamazonaws.blogspot.com
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[MS] Using Agents to Setup Experiments - devamazonaws.blogspot.com

Introduction: The Problem In a recent engagement, our team faced a complex challenge. Setting up a machine learning experiment required a long sequence of manual steps. None were individually hard, but together they created a fragile, error‑prone workflow. For example: – Users needed to provide key metadata (experiment name, hypothesis, ground-truth dataset), but the format wasn’t standardized, so people often filled it inconsistently. – They had to decide whether to reuse an existing baseline or create a new one — a choice that wasn’t always obvious to newcomers. – Multiple configuration files had to be manually updated for inference, evaluation, and the experiment runner, each with slightly different formats. – Retrieval parameters were configured through custom retrieval codes, which required knowing the right flags. – Prompts had to be written manually, without examples or validation. – And finally, multiple scripts had to be executed in the right sequence to provision agents and ...
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Accelerate Lambda durable functions development with new Kiro power - devamazonaws.blogspot.com

Today, AWS announces the Lambda durable functions Kiro power, bringing Lambda durable function development expertise to agentic AI development in Kiro. With this power, you can build resilient, long-running multi-step applications and AI workflows faster with AI agent-assisted development directly in your local development environment. When you work with durable functions, the AI agent dynamically loads relevant guidance and development expertise. This includes replay model best practices, step and wait operations, concurrent execution with map and parallel patterns, error handling with retry strategies and compensating transactions, testing patterns, and deployment with AWS CloudFormation, AWS Cloud Development Kit (AWS CDK), and AWS Serverless Application Model (AWS SAM). With this guidance, you can go from idea to a working durable function quickly, whether you are building order processing pipelines, AI agent orchestration with human-in-the-loop approvals, or payment coordination ...
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[MS] Announcing WinUI Gallery 2.8 - devamazonaws.blogspot.com

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  Hey WinUI developers! If you’re new around here, WinUI Gallery is the go-to app for exploring WinUI controls, samples, design guidance, and handy tools — all in one place. Today, we’re excited to announce WinUI Gallery 2.8 , bringing jump list support, new samples, improved accessibility, and several quality-of-life improvements and bugfixes! Jump list support WinUI Gallery now integrates with Windows jump lists , making it easier to quickly return to the samples and tools you use most. Right-clicking the WinUI Gallery icon in the taskbar (or accessing it from the Start menu ) now shows a Jump List that includes your favorited samples or recently viewed samples. This allows you to jump directly into the parts of the Gallery you use most often without navigating through the app first. In addition to the integration in the app itself, WinUI Gallery now also includes a Jump List sample demonstrating how developers can implement this functionality in their own WinUI applications....
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[MS] Platform Engineering for the Agentic AI era - devamazonaws.blogspot.com

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For the last decade, platform engineering has relied on explicit API interaction layers : CLIs, SDKs, pipelines, wrappers, and UI workflows that translate human intent into machine‑safe API calls. AI agents are now short‑circuiting much of that stack. By combining natural language understanding, reasoning, and direct access to API specifications and control schemas , agents can convert human intent directly into validated platform actions, often without a bespoke interaction layer in between. Nowhere is this shift more visible than in Infrastructure as Code (IaC) and pipeline workflows , where agents are increasingly acting as the “control plane interpreter” between engineers and cloud APIs, whether the output is Bicep/ARM , Terraform , or direct API calls. The Traditional Model In the traditional model, Infrastructure as Code (IaC) sits in a multi-layer intent-to-execution stack: human intent (architecture goals and requirements) is translated through an explicit interaction layer ...
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Amazon SageMaker HyperPod now provides comprehensive observability for Restricted Instance Groups - devamazonaws.blogspot.com

Amazon SageMaker HyperPod now offers comprehensive observability for Restricted Instance Groups (RIG), enabling teams training foundation models with Nova Forge to gain deep visibility into their compute resources and training workloads. This new capability eliminates the manual effort of collecting and correlating metrics across the infrastructure stack, providing a unified view of GPU performance, system health, network throughput, and Kubernetes cluster state through a pre-configured Amazon Managed Grafana dashboard backed by Amazon Managed Service for Prometheus. You can now monitor GPU utilization, NVLink bandwidth, CPU pressure, FSx for Lustre usage, and pod lifecycle from a single Grafana dashboard, with metrics collected across four exporters covering GPU performance, host-level system health, network fabric, and Kubernetes object state. In addition, curated logs are automatically made available in these dashboards, covering epoch progress, step-level training logs, pipeline e...
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