Kategorie: Amazon AWS

Amazon EC2 X2iedn instances now available in AWS Europe (Zurich) region

Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2iedn instances are available in AWS Europe (Zurich) region. These instances, powered by 3rd generation Intel Xeon Scalable Processors and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1e instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database. To learn more, visit the EC2 X2i Instances Page, or connect with your AWS Support contacts.
Quelle: aws.amazon.com

AWS Shield network security director now supports multi-account analysis

Today, AWS Shield announces multi-account network security management and automated network analysis for network security director, which is currently in preview. AWS Shield network security director provides visibility into the AWS resources in your AWS organization, identifies missing or misconfigured network security services, and recommends remediation steps. With network security director, you can specify a delegated administrator account from which you can start continuous network analysis for multiple accounts or organizational units in your AWS Organization. You can then centrally view each account’s network topology, network security findings, and recommended remediations for missing or misconfigured network security services. You can also easily summarize and report on the network security misconfigurations identified by AWS Shield network security director from within Amazon Q Developer in the AWS Management Console and chat applications. AWS Shield network security director is also now available in five additional AWS regions: Europe (Ireland), Europe (Frankfurt), Asia Pacific (Hong Kong), Asia Pacific (Singapore), and Australia (Sydney). To learn more, visit the overview page.
Quelle: aws.amazon.com

Amazon EMR Managed Scaling is now available in 7 additional AWS regions

We are excited to announce that Amazon EMR Managed Scaling is now available for EMR on EC2 customers in the Asia Pacific (Malaysia, New Zealand, Taipei, Thailand), Canada West (Calgary), Mexico (Central), and US Gameday Northeast (Illinois) AWS Regions. Amazon EMR Managed Scaling automatically resizes the EC2 instances in your EMR cluster for the best performance at the lowest possible cost. With Amazon EMR Managed Scaling, you simply specify the minimum and maximum compute limits for your clusters, and Amazon EMR on EC2 automatically resizes your cluster for optimal performance and resource utilization. Amazon EMR Managed Scaling constantly monitors key workload-related metrics and uses an algorithm that optimizes the cluster size for the best resource utilization. Using this algorithm, Amazon EMR can scale the EC2 cluster up during peaks and scale it down during idle periods, reducing your costs and optimizing cluster capacity for the best performance. Amazon EMR Managed Scaling can also be used with Amazon EC2 Spot Instances, that lets you take advantage of unused EC2 capacity for a discount when compared to on-demand prices. Amazon EMR Managed Scaling is now available in all AWS commercial regions. Amazon EMR Managed Scaling is supported for Apache Spark, Apache Hive and YARN-based workloads on Amazon EMR on EC2 versions 6.14 and above. To learn more and to get started, visit the Amazon EMR Managed Scaling user guide.
Quelle: aws.amazon.com

Validate best practice compliance for SAP ABAP applications with AWS Systems Manager

AWS Systems Manager (AWS SSM) Configuration Manager now allows you to automatically test SAP ABAP based applications on AWS against best practices defined in the AWS Well-Architected Framework SAP Lens. Keeping SAP applications optimally configured requires SAP administrators to stay current with best practices from multiple sources including AWS, SAP, and operating system vendors and manually check their configurations to validate adherence. AWS SSM Configuration Manager automatically assesses SAP applications running on AWS against these standards, proactively identifying misconfigurations and recommending specific remediation steps, allowing you to make the necessary changes before potential impacts to business operations. With this launch, configuration checks can be scheduled or run on-demand for SAP HANA and ABAP applications. SSM for SAP Configuration Manager is available in AWS Regions where SSMSAP is available. To learn more, read the launch blog, or refer to the AWS Systems Manager for SAP documentation.
Quelle: aws.amazon.com

AWS DataSync introduces Terraform support for Enhanced mode

The AWS DataSync Terraform module now supports Enhanced mode for transfers between S3 locations, making it easier for you to set up high-performance data transfers at scale. AWS DataSync is a secure, high-speed file transfer service that optimizes data movement over a network. Enhanced mode uses parallel processing to deliver higher performance and scalability for datasets of any size, while removing file count limitations and providing detailed transfer metrics for better monitoring and management. You can now use Terraform to automatically provision DataSync tasks configured for Enhanced mode. This eliminates manual configuration steps that can be time-consuming and error-prone, while giving you a consistent, repeatable, version-controlled deployment process that can scale across your organization. You can access the AWS DataSync Terraform module on GitHub or through the Terraform Registry. To learn more about DataSync, see the AWS DataSync documentation. To see all Regions where DataSync is available, visit the AWS Region table.
Quelle: aws.amazon.com

Amazon EC2 X2iedn instances now available in AWS Asia Pacific (Thailand) region

Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2iedn instances are available in AWS Asia Pacific (Thailand) region. These instances, powered by 3rd generation Intel Xeon Scalable Processors and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1e instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database.
To learn more, visit the EC2 X2i Instances Page, or connect with your AWS Support contacts.
Quelle: aws.amazon.com

AWS Elastic Beanstalk is now available in additional regions

We are excited to announce the general availability of AWS Elastic Beanstalk in Asia Pacific (New Zealand) (Melbourne), (Malaysia), (Hyderabad), Canada West (Calgary), and Europe (Zurich). AWS Elastic Beanstalk is a service that simplifies application deployment and management on AWS. The service automatically handles deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring, allowing developers to focus on writing code. For a complete list of regions and service offerings, see AWS Regions. To get started on AWS Elastic Beanstalk, see the AWS Elastic Beanstalk Developer Guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page. 
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AWS DataSync increases scalability and performance for on-premises file transfers

AWS DataSync Enhanced mode now supports data transfers between on-premises file servers and Amazon S3, enabling customers to transfer datasets that scale to virtually unlimited numbers of files at higher levels of performance than DataSync Basic mode. AWS DataSync is a secure, high-speed file transfer service that optimizes data movement over a network. Enhanced mode uses parallel processing to deliver higher performance and scalability for datasets of any size, while removing file count limitations and providing detailed transfer metrics for better monitoring and management. Previously, Enhanced mode was available for data transfers between Amazon S3 locations and for multicloud transfers. This launch extends the capabilities of Enhanced mode to support transfers between on-premises NFS or SMB file servers, and Amazon S3. Using Enhanced mode, customers can accelerate generative AI workloads by rapidly moving training datasets to AWS, power data lake analytics by synchronizing on-premises data with cloud-based pipelines, and drive large-scale migrations for archival and cloud modernization. This new capability is available in all AWS Regions where AWS DataSync is offered. To get started, visit the AWS DataSync console. For more information, see the AWS DataSync documentation.
Quelle: aws.amazon.com

Amazon EC2 C7i instances are now available in the Asia Pacific (Hyderabad) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in the Asia Pacific (Hyderabad) Region. C7i instances are supported by custom Intel processors, available only on AWS. C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad-serving, and video encoding. C7i instances 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. C7i instances support new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. Customers can attach up to 128 EBS volumes to a C7i instance vs. up to 28 EBS volumes to a C6i instance. This allows processing of larger amounts of data, scale workloads, and improved performance over C6i instances. To learn more, visit Amazon EC2 C7i Instances. To get started, see the AWS Management Console.
Quelle: aws.amazon.com

Amazon Aurora PostgreSQL now supports integration with Kiro powers

Today, AWS announces Amazon Aurora PostgreSQL-Compatible Edition integration with Kiro powers, enabling developers to build Aurora PostgreSQL backed applications faster with AI agent-assisted development using Kiro. Kiro powers is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and hooks validated by Kiro partners to accelerate specialized software development and deployment use cases. Kiro power for Aurora PostgreSQL packages the MCP server with targeted database development guidance, giving the Kiro agent instant expertise in Aurora PostgreSQL operations and schema design. Kiro power for Aurora PostgreSQL bundles direct database connectivity through the Aurora PostgreSQL MCP server for data plane operations (queries, table creation, schema management), and control plane operations (cluster creation) and the steering file with Aurora PostgreSQL–specific best practices. When developers work on database tasks, the power dynamically loads relevant guidance – whether creating new Aurora clusters, designing schemas, or optimizing queries – so AI agents receive only the context needed for the specific task at hand. Aurora PostgreSQL power is available within Kiro IDE and Kiro powers webpage for one-click installation and can create and manage Aurora PostgreSQL clusters in all AWS Regions. For more information about development use cases, read this blog post. To learn more about Aurora PostgreSQL MCP server, visit our documentation. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, and automated multi-Region replication. To get started with Amazon Aurora, visit our getting started page.
Quelle: aws.amazon.com