Kategorie: Amazon AWS

Amazon Neptune Analytics is now available in AWS Asia Pacific (Mumbai) Region

Amazon Neptune Analytics is now available in the Asia Pacific (Mumbai) Region. You can now create and manage Neptune Analytics graphs in the Asia Pacific (Mumbai) Region and run advanced graph analytics. Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements Amazon Neptune Database, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that’s stored in Amazon S3. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page.
Quelle: aws.amazon.com

Amazon EC2 C8gn instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS Region Europe (Frankfurt, Stockholm), Asia Pacific (Singapore). The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore) To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Quelle: aws.amazon.com

Amazon Redshift Concurrency Scaling is now available in 10 additional AWS regions

Amazon Redshift Concurrency Scaling is now available in the AWS Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Osaka), Asia Pacific (Thailand), Europe (Milan), Middle East (Bahrain), Mexico (Central) and AWS GovCloud (US-West) regions. With the Amazon Redshift Concurrency Scaling feature, you can now support thousands of concurrent users and concurrent queries, with consistently fast query performance. Amazon Redshift Concurrency Scaling elastically scales query processing power to provide consistently fast performance for hundreds of concurrent queries. Concurrency Scaling resources are added to your Redshift cluster transparently in seconds, allowing for increased concurrency to process queries with minimal wait time. Amazon Redshift customers with an active Redshift cluster earn up to one hour of free Concurrency Scaling credits, which is sufficient for the concurrency needs of most customers. Concurrency scaling enables you to specify usage control, providing customers with predictable month-to-month costs, even during periods of fluctuating analytical demand. To enable Amazon Redshift Concurrency Scaling, set the Concurrency Scaling Mode to Auto in your Amazon Web Services Management Console. You can allocate Concurrency Scaling usage to specific user groups and workloads, control the number of Concurrency Scaling clusters that can be used, and monitor Amazon CloudWatch performance and usage metrics. To learn more about concurrency scaling including regional-availability, see our documentation and pricing page.
Quelle: aws.amazon.com

You can now preview Amazon S3 Tables in the S3 console

You can now preview your Amazon S3 Tables directly in the S3 console without having to write a SQL query. You can view the schema and sample rows of your tables stored in S3 Tables to better understand and gather key information about your data quickly, without any setup.
You can preview tables in the S3 console in all AWS Regions where S3 Tables are available. You only pay for S3 requests to read a portion of your table. See Amazon S3 pricing and the S3 User Guide for pricing details and to learn more.
Quelle: aws.amazon.com

Amazon CloudWatch now supports resource tags when monitoring vended metrics

Today, Amazon CloudWatch announces support for a new tag-based telemetry experience to help customers monitor their metrics and set up their alarms using AWS resources tags. This new capability simplifies monitoring cloud infrastructure at scale by automatically adapting alarms and metrics analysis as resources change. DevOps engineers and cloud administrators can now create dynamic monitoring views that align with their organizational structure using their existing AWS resource tags. Tag-based querying filtering eliminates the manual overhead of updating alarms and dashboards after deployments, freeing teams to focus on innovation rather than maintenance. This provides faster, targeted insights that match how teams organize their systems. Teams can query AWS default metrics using their existing resource tags, making it easier to troubleshoot issues and maintain operational visibility while focusing on core business initiatives. CloudWatch tag-based filtering is available in the following regions: US East (N. Virginia); US East (Ohio); US West (N. California); US West (Oregon); Asia Pacific (Tokyo); Asia Pacific (Seoul); Asia Pacific (Singapore); Asia Pacific (Sydney); Asia Pacific (Mumbai); Asia Pacific (Osaka); Canada (Central); Europe (Frankfurt); Europe (Ireland); Europe (London); Europe (Paris); Europe (Stockholm) and South America (São Paulo). To get started, simply enable tag enriched telemetry with one click in the Amazon CloudWatch Settings, or through the AWS Command Line Interface (AWS CLI), and AWS SDKs to use your existing AWS resource tags to monitor your infrastructure. Learn more on the Amazon CloudWatch documentation page.
Quelle: aws.amazon.com

Research and Engineering Studio on AWS 2025.09 is now available

Today we’re announcing Research and Engineering Studio (RES) on AWS 2025.09, which brings support for fractional GPUs, simplified AMI management, and enhanced deployment flexibility. This release also expands regional availability to include four additional AWS commercial Regions. Research and Engineering Studio on AWS is an open source solution that provides a web-based portal for administrators to create and manage secure cloud-based research and engineering environments. RES enables scientists and engineers to access powerful Windows and Linux virtual desktops with pre-installed applications and shared resources, without requiring cloud expertise. Version 2025.09 adds support for Amazon EC2 g6f instances, enabling GPU fractionalization for more efficient resource utilization in graphics-intensive workloads. The release also introduces Systems Manager Parameter Alias support for AMI IDs, simplifying the management of project-specific images, and enables integration with existing Amazon Cognito user pools for streamlined authentication setup during deployment. Administrators can now also customize CIDR ranges in the AWS CloudFormation external resources template for better network planning and integration with existing resources. This release expands regional availability to include Asia Pacific (Osaka), Asia Pacific (Jakarta), Middle East (UAE), and South America (São Paulo). To learn more about RES 2025.09, including detailed release notes and deployment instructions, visit the Research and Engineering Studio documentation or check out the RES GitHub repository.
Quelle: aws.amazon.com

Amazon EC2 I7i instances now available in AWS Europe (Milan) and AWS US West (N. California)

AWS is announcing the availability of high performance Storage optimized Amazon EC2 I7i instances in AWS Europe (Milan) and US West (N. California) regions. Powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. I7i instances offer compute and storage performance for x86-based storage optimized instances in Amazon EC2 ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets. Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instances page.
Quelle: aws.amazon.com

Amazon Bedrock AgentCore Runtime, Browser, and Code Interpreter add support for VPC, AWS PrivateLink, CloudFormation, and tagging

Amazon Bedrock AgentCore Runtime, Browser, and Code Interpreter services now support Amazon Virtual Private Cloud (VPC) connectivity, AWS PrivateLink, AWS CloudFormation, and resource tagging, enabling developers to deploy AI agents with enhanced enterprise security and infrastructure automation capabilities. AgentCore Runtime enables you to deploy and scale dynamic AI agents securely using any framework, protocol, or model. AgentCore Browser enables web-based interactions such as form filling, data extraction, and QA testing, while AgentCore Code Interpreter provides secure execution of agent-generated code. With VPC support, you can now securely connect AgentCore Runtime, Browser, and Code Interpreter services to private resources such as databases, internal APIs, and services within your VPC without internet exposure. AWS PrivateLink provides private connectivity between your VPC and Amazon Bedrock AgentCore services, while CloudFormation support enables automated resource provisioning through infrastructure as code. Resource tagging allows you to implement comprehensive cost allocation, access control, and resource organization across your AgentCore deployments. Amazon Bedrock AgentCore is currently in preview and available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Frankfurt). To learn more, see Configuring VPC for AgentCore and Use Interface VPC endpoints (AWS PrivateLink) with AgentCore. For CloudFormation resources, visit the AgentCore CloudFormation Reference, and to get started with tagging, see the Tagging AgentCore resources.
Quelle: aws.amazon.com

AWS IAM Identity Center erweitert die Autorisierung von AWS-Anwendungen über Proof Key for Code Exchange

AWS IAM Identity Center unterstützt nun OAuth 2.0-Autorisierungscodeflows unter Verwendung von PKCE-Standards (Proof Key for Code Exchange). Dadurch erhalten Anwendungen von AWS wie Amazon Q Developer Pro eine einfache und sichere Methode, um Benutzer zu authentifizieren und ihre Einwilligung einzuholen, um von Desktops oder mobilen Geräten aus über Webbrowser auf AWS-Ressourcen zugreifen. 
Quelle: aws.amazon.com

Amazon MSK unterstützt jetzt das Entfernen von Brokern aus von MSK bereitgestellten Clustern

Amazon Managed Streaming für Apache Kafka (Amazon MSK) unterstützt jetzt das Entfernen von Brokern aus von MSK bereitgestellten Clustern. Administratoren können die Kosten ihrer Amazon-MSK-Cluster optimieren, indem sie die Anzahl der Broker reduzieren, um den sich ändernden Anforderungen ihrer Streaming-Workloads gerecht zu werden und gleichzeitig die Cluster-Leistung, Verfügbarkeit und Datenbeständigkeit aufrechtzuerhalten.
Quelle: aws.amazon.com