Kategorie: Amazon AWS

Amazon EC2 M7i instances are now available in the Europe (Milan) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in the Europe (Milan) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. To learn more, visit Amazon EC2 M7i Instances. To get started, see the AWS Management Console.
Quelle: aws.amazon.com

AWS now supports immediate resource discovery within a Region

AWS now provides immediate access to resource search capabilities in all accounts through AWS Resource Explorer. With this launch, you no longer need to activate Resource Explorer to discover your resources in a Region. To start searching, you need, at minimum, permissions in the AWS Resource Explorer Read Only Access or AWS Read Only Access managed policies. You can discover resources in the AWS Resource Explorer console, Unified Search, and AWS CLI and SDKs. To search the full inventory of supported resources, including historical backfill and automatic updates, complete Resource Explorer setup. This requires additional permissions to create a Service-Linked Role, so that Resource Explorer can automatically complete setup in each Region where you search. You can also enable cross-Region search to discover resources across all Regions in your AWS account with one-click in the Console, or with a single API call using the new CreateResourceExplorerSetup API. This feature is available at no additional cost in all AWS Regions where Resource Explorer is supported. To start searching for your resources, visit the AWS Resource Explorer console. Read about getting started in the AWS Resource Explorer documentation, or explore the AWS Resource Explorer product page.
Quelle: aws.amazon.com

Amazon EC2 High Memory U7i instances now available in Asia Pacific (Mumbai) Region

Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the Asia Pacific (Mumbai) region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.
Quelle: aws.amazon.com

Amazon RDS now supports the latest CU and GDR updates for Microsoft SQL Server

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for Microsoft SQL Server 2016 SP3+GDR KB5065226 (RDS version 13.00.6470.1.v1), SQL Server 2017 CU31+GDR KB5065225 (RDS version 14.00.3505.1.v1), SQL Server 2019 CU32+GDR KB5065222 (RDS version 15.00.4445.1.v1) and SQL Server 2022 CU21 KB5065865 (RDS version 16.00.4215.2.v1). The GDR updates address vulnerabilities described in CVE-2025-47997, CVE-2025-55227, CVE-2024-21907. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5065226, KB5065225, KB5065222 and KB5065865. We recommend that you upgrade your Amazon RDS for SQL Server instances to apply these updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. You can learn more about upgrading your database instance in the Amazon RDS SQL Server User Guide for upgrading your RDS Microsoft SQL Server DB engine.
Quelle: aws.amazon.com

Generative AI observability now generally available for Amazon CloudWatch

Amazon CloudWatch announces the general availability of generative AI observability, helping you monitor all components of AI applications and workloads, including agents deployed and operated with Amazon Bedrock AgentCore. This release expands beyond runtime monitoring to include complete observability across AgentCore’s Built-in Tools, Gateways, Memory, and Identity capabilities. DevOps teams and developers can now get an out-of-the-box view into latency, token usage, errors, and performance across all components of their AI workloads, from model invocations to agent operations. This feature is compatible with popular generative AI orchestration frameworks such as Strands Agents, LangChain, and LangGraph, offering flexibility with your choice of framework. With this new feature, CloudWatch enalbes developers to analyzes telemetry data across components of a generative AI application. Customers can monitor code execution patterns in Built-in Tools, track API transformation success rates through Gateways, analyze memory storage and retrieval patterns, and ensure secure agent behavior through Identity observability. The connected view helps developers quickly identify issues – from gaps in VectorDB to authentication failures – using end-to-end prompt tracing, curated metrics, and logs. Developers can monitor their entire agent fleet through the “AgentCore” section in the CloudWatch console, which integrates seamlessly with other CloudWatch capabilities including Application Signals, Alarms, Sensitive Data Protection, and Logs Insights. This feature is now available in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), and Asia Pacific (Sydney). To learn more, visit documentation. There is no additional pricing for Gen AI Observability, existing CloudWatch pricing for underlying telemetry data applies.
Quelle: aws.amazon.com

Announcing vector search for Amazon ElastiCache

Vector search for Amazon ElastiCache is now generally available. Customers can now use ElastiCache to index, search, and update billions of high-dimensional vector embeddings from popular providers like Amazon Bedrock, Amazon SageMaker, Anthropic, and OpenAI with latency as low as microseconds and up to 99% recall. Key use cases include semantic caching for large language models (LLMs) and multi-turn conversational agents, which significantly reduce latency and cost by caching semantically similar queries. Vector search for ElastiCache also powers agentic AI systems with Retrieval Augmented Generation (RAG) to ensure highly relevant results and consistently low latency across multiple retrieval steps. Additional use cases include recommendation engines, anomaly detection, and other applications that require efficient search across multiple data modalities. Vector search for ElastiCache is available with Valkey version 8.2 on node-based clusters in all AWS Regions at no additional cost. To get started, create a Valkey 8.2 cluster using the AWS Management Console, AWS Software Development Kit (SDK), or AWS Command Line Interface (CLI). You can also use vector search on your existing clusters by upgrading from any version of Valkey or Redis OSS to Valkey 8.2 in a few clicks with no downtime. To learn more about vector search for ElastiCache for Valkey read this blog and for a list of supported commands see the ElastiCache documentation. 
Quelle: aws.amazon.com

Amazon Bedrock AgentCore is now generally available

Amazon Bedrock AgentCore is an agentic platform to build, deploy and operate highly capable agents securely at scale using any framework, model, or protocol. AgentCore lets you build agents faster, enable agents to take actions across tools and data, run agents securely with low-latency and extended runtimes, and monitor agents in production – all without any infrastructure management. With general availability, all AgentCore services now have Virtual Private Cloud (VPC) support, enabling secure, private agent deployment. AgentCore Runtime builds on its preview capabilities of industry-leading eight-hour execution windows and complete session isolation by adding support for the Agent-to-Agent (A2A) protocol, with broader A2A support coming soon across all AgentCore services. AgentCore Gateway now connects to existing Model Context Protocol (MCP) servers in addition to transforming APIs and Lambda functions into agent-compatible tools. Gateway provides a single, secure endpoint for agents to discover and use tools without the need for custom integrations. AgentCore Identity now offers identity-aware authorization, secure vault storage for refresh tokens, and native integration with additional OAuth-enabled services so agents can securely act on behalf of users or by themselves with enhanced access controls. AgentCore Observability now delivers complete visibility into end-to-end agent execution and operational metrics across all AgentCore services through dashboards powered by Amazon CloudWatch, and it is OTEL compatible, offering seamless integration with Amazon CloudWatch and external observability providers like Dynatrace, Datadog, Arize Phoenix, LangSmith, and Langfuse. AgentCore works with any open source framework (CrewAI, LangGraph, LlamaIndex, Google ADK, OpenAI Agents SDK) and any model in or outside Amazon Bedrock, giving you freedom to use your preferred frameworks and models, and innovate with confidence. Amazon Bedrock AgentCore is available in nine AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). Learn more about AgentCore through the blog, deep dive using the AgentCore resources, and get started with the AgentCore Starter Toolkit. AgentCore offers consumption-based pricing with no upfront costs.
Quelle: aws.amazon.com

Amazon SageMaker AI Projects now supports custom template S3 provisioning

Amazon SageMaker AI Projects now supports provisioning custom machine learning (ML) project templates from Amazon S3. Administrators can now manage ML templates in SageMaker AI studio so data scientists can create standardized ML projects to meet their organizational needs. Data scientists can use Amazon SageMaker AI Projects to create standardized ML projects that meet organizational requirements and automate ML development workflows. Administrators define standardized ML project templates that include end-to-end development patterns. By provisioning custom templates from Amazon S3, administrators can define standardized project templates and provide access to these templates directly in the SageMaker AI studio for data scientists, ensuring all ML projects follow organizational standards. SageMaker AI Projects custom template S3 provisioning is available in all AWS Regions where SageMaker AI Projects is available. To learn more, visit SageMaker AI Projects documentation, and SageMaker AI Studio. 
Quelle: aws.amazon.com

Amazon Quick Sight expands font customization for visuals

Amazon Quick Sight now supports font customization for data labels and axes. Authors can now customize fonts for data labels and axes in supported charts, in addition to the previously supported font customization for visual titles, subtitles, and legend, as well as tables and pivot tables headers. Authors can set the font size (in pixels), font family, color, and styling options like bold, italics, and underline across analysis, including dashboards, reports and embedded scenarios. With this update, you can further align your dashboard’s fonts with your organization’s branding guidelines, creating a more cohesive and visually appealing experience. Additionally, the expanded font customization options help improve readability, especially when viewing visualizations on large screens. This is now available in all supported Amazon Quick Suite regions. To learn more about this, visit Amazon Quick Suite Visual formatting guide.
Quelle: aws.amazon.com

AWS Client VPN is now supporting MacOS Tahoe

AWS Client VPN now supports MacOS Tahoe client with version 5.3.1. You can now run the AWS supplied VPN client on the latest MacOS versions. AWS Client VPN desktop clients are available free of charge, and can be downloaded here. AWS Client VPN is a managed service that securely connects your remote workforce to AWS or on-premises networks. It supports desktop clients for MacOS, Windows x64, Windows Arm64 and Ubuntu-Linux. With client version 5.3.1 onwards, Client VPN now supports the MacOS Tahoe 26.0. It already supports Mac OS version 13.0, 14.0 and 15.0, Windows 10 (x64) and Windows 11 (Arm64 and x64), and Ubuntu Linux 22.04 and 24.04 LTS versions. To learn more about Client VPN:

Visit the AWS Client VPN product page
Read the AWS Client VPN documentation
Read the AWS Client VPN user guide

Quelle: aws.amazon.com