AWS
Amazon Web Services releases and Terraform AWS provider.
- AWS What's New aiawsengineer ·
Amazon Aurora MySQL integrates with Kiro Powers for AI development assistance
Amazon Aurora MySQL now integrates with Kiro Powers, a repository of AI agent tools, enabling developers to build applications faster using natural language commands for both data and control plane operations. This integration provides instant expertise for Aurora MySQL operations and schema design, abstracting complex syntax and offering dynamic, task-specific guidance. The feature is available via one-click installation and affects developers building or managing Aurora MySQL-backed applications.
feature - AWS What's New aiinfraawsengineer ·
Amazon EC2 X8i instances expand to more AWS regions
Amazon EC2 X8i instances, powered by custom Intel Xeon 6 processors, are now available in Asia Pacific (Singapore), Asia Pacific (Sydney), and AWS GovCloud (US-West) regions. These SAP-certified instances offer significantly higher performance, memory capacity, and bandwidth compared to X2i instances, benefiting memory-intensive workloads like SAP HANA, large databases, and AI inference. The expanded availability allows more customers to leverage these powerful compute options.
feature - AWS What's New aiawsengineer ·
Amazon SageMaker Unified Studio Enhances Domain Management
Amazon SageMaker Unified Studio now offers expanded domain management for both Identity Center and IAM-based domains, allowing administrators to manage projects, workforce identity, and networking properties outside the AWS console. This unification simplifies administration for teams working with diverse SageMaker environments, improving consistency and enabling cross-account data sharing.
feature - AWS What's New aiawsengineermedia ·
SageMaker Inference now supports OpenAI-compatible APIs
Amazon SageMaker Inference now supports OpenAI-compatible APIs, enabling direct integration with tools like OpenAI SDK, LangChain, and Strands Agents by simply changing an endpoint URL. This new feature removes the need for custom integration code or SDK wrappers, allowing users to leverage existing SDK calls and framework integrations with SageMaker endpoints while retaining control over GPU instances, VPC data, and auto-scaling. The update is available in multiple AWS regions.
feature - AWS What's New aiawspreviewengineer ·
Amazon Bedrock adds request-level usage attribution for InvokeModel APIs
Amazon Bedrock now supports request-level usage attribution for InvokeModel and InvokeModelWithResponseStream APIs. This feature provides granular visibility into model inference usage across an organization, aiding in cost optimization and internal reporting. It extends existing attribution capabilities, offering a consistent tagging mechanism for inference calls.
feature - AWS What's New aiawspreviewengineer ·
SageMaker HyperPod adds inference data capture to S3
Amazon SageMaker HyperPod now supports data capture for inference workloads, automatically logging request/response payloads to S3. This new capability provides visibility into production generative AI model behavior for drift detection, troubleshooting, and dataset building, eliminating the need for custom logging pipelines.
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