Kategorie: Amazon AWS

Amazon AppStream 2.0 announces availability of license included Microsoft applications

Amazon AppStream 2.0 now offers Microsoft applications with licenses included, providing customers with the flexibility to run these applications on AppStream 2.0 fleets. As part of this launch, AppStream 2.0 provides Microsoft Office, Visio, and Project 2021/2024 in both Standard and Professional editions. Each is available in both 32-bit and 64-bit versions for On-Demand and Always-On fleets. Administrators can dynamically control applications availability by adding or removing applications from AppStream 2.0 images and fleets. End users benefit from a seamless experience, accessing Microsoft applications that are fully integrated with their business applications within their AppStream 2.0 sessions. This helps in ensuring that users can work efficiently with both Microsoft and business applications in a unified environment, eliminating the need for switching between different platforms or services. To get started, create an AppStream custom image by launching an image builder with a Windows Server operating system image. Select the desired set of applications to be installed. Then connect to the image builder and complete image creation by following the Amazon AppStream 2.0 Administration Guide. You must use an AppStream 2.0 Image Builder that uses an AppStream 2.0 agent released on or after October 2, 2025 Or, your image must use managed AppStream 2.0 image updates released on or after October 3, 2025. This functionality is generally available in all regions where AppStream 2.0 is offered. Customers are billed per hour for the AppStream streaming resources, and per-user per-month (non-prorated) for Microsoft applications. Please see Amazon AppStream 2.0 Pricing for more information.
Quelle: aws.amazon.com

Amazon EC2 M8g instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Europe (Paris), Asia Pacific (Osaka), AWS Canada (Central), and AWS Middle East (Bahrain) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console. 
Quelle: aws.amazon.com

Amazon Route 53 Profiles now supports AWS PrivateLink

Amazon Route 53 Profiles now supports AWS PrivateLink. Customers can now access and manage their Profiles privately, without going through the public internet. AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises applications, securely over the Amazon network. When Route 53 Profiles is accessed via AWS PrivateLink, all operations, such as creating, deleting, editing, and listing of Profiles, can be handled via the Amazon private network.  Route 53 Profiles allows you to define a standard DNS configuration, in the form of a Profile, that may include Route 53 private hosted zone (PHZ) associations, Route 53 Resolver rules, and Route 53 Resolver DNS Firewall rule groups, and apply this configuration to multiple VPCs in your account. Profiles can also be used to enforce DNS settings for your VPCs, with configurations for DNSSEC validations, Resolver reverse DNS lookups, and the DNS Firewall failure mode. You can share Profiles with AWS accounts in your organization using AWS Resource Access Manager (RAM). Customers can use Profiles with AWS PrivateLink in regions where Route 53 Profiles is available today, including the AWS GovCloud (US) Regions. For more information about the AWS Regions where Profiles is available, see here. To learn more about configuring Route 53 Profiles, please refer to the service documentation.
Quelle: aws.amazon.com

Announcing AWS for Fluent Bit 3.0.0 based on Fluent Bit 4.1.0

AWS for Fluent Bit announces version 3.0.0, based on Fluent Bit version 4.1.0 and Amazon Linux 2023. Container logging using AWS for Fluent Bit is now more performant and more feature-rich for AWS customers, including those using Amazon Elastic Container Services (Amazon ECS) and Amazon Elastic Kubernetes Service (Amazon EKS). AWS for Fluent Bit enables Amazon ECS and Amazon EKS customers to collect, process, and route container logs to destinations including Amazon CloudWatch Logs, Amazon Data Firehose, Amazon Kinesis Data Streams, and Amazon S3 without changing application code. AWS for Fluent Bit 3.0.0 upgrades the Fluent Bit version to 4.1.0, and upgrades the base image to Amazon Linux 2023. These updates deliver access to the latest Fluent Bit features, significant performance improvements, and enhanced security. New features include native OpenTelemetry (OTel) support for ingesting and forwarding OTLP logs, metrics, and traces with AWS SigV4 authentication—eliminating the need for additional sidecars. Performance improvements include faster JSON parsing, processing more logs per vCPU with lower latency. Security enhancements include TLS min version and cipher controls, which enforce your TLS policy on outputs from AWS for Fluent Bit for stronger protocol posture. You can use AWS for Fluent Bit 3.0.0 on both ECS and EKS. On ECS, update the FireLens log-router container image in your task definition to the 3.0.0 tag from the Amazon ECR Public Gallery. On EKS, upgrade by either updating the Helm release or setting the DaemonSet image to the 3.0.0 version. The AWS for Fluent Bit image is available in the Amazon ECR Public Gallery and in the Amazon ECR repository. You can also find it on GitHub for source code and additional guidance.
Quelle: aws.amazon.com

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