Kategorie: Amazon AWS

Amazon EC2 R8i and R8i-flex instances are now available in AWS GovCloud (US-East) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the AWS GovCloud (US-East) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i. R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, delivering exceptional performance for mission-critical SAP workloads. To get started, sign in to the AWS Management Console. For more information about the R8i and R8i-flex instances visit the AWS News blog.
Quelle: aws.amazon.com

Amazon EC2 M8i and M8i-flex instances are now available in AWS GovCloud (US-East) Region

Starting today, Amazon EC2 M8i and M8i-flex instances are now available in AWS GovCloud (US-East) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i and M7i-flex instances. M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i and M8i-flex instance page or visit the AWS News blog.
Quelle: aws.amazon.com

Amazon SageMaker Unified Studio adds interactive interface for managing Feature Store in IAM Domains

Amazon SageMaker Unified Studio IAM domains now includes an interactive interface for creating and managing feature groups in SageMaker Feature Store, eliminating the need to write code for common feature management tasks. This launch makes feature management accessible to data scientists, ML engineers, and business analysts from a single collaborative environment.
Features are the inputs to ML models used during training and inference. For example, a music recommendation app might use features like song ratings, listening duration, and listener demographics to personalize which songs are suggested to each user. With this interactive interface for creating and managing features, you can now discover and search existing features, create and modify feature groups, view definitions and schemas, monitor data ingestion status – all without writing API calls. Features created elsewhere appear immediately in SageMaker Unified Studio when sharing the same IAM role, ensuring seamless workflows across your ML development lifecycle.
To learn more about using the interactive interface for creating and managing features in SageMaker Unified Studio, visit the Amazon SageMaker Unifed Studio User Guide.
Quelle: aws.amazon.com

Amazon VPC IPAM now supports tags on IPAM pool allocations

Amazon VPC IP Address Manager (IPAM) now supports tags on IPAM pool allocations, enabling customers to organize, govern, and control access to individual IP address allocations using the same tagging workflows they use across other AWS resources.
Amazon VPC IP Address Manager (IPAM) helps customers plan, track, and monitor IP addresses across their AWS environments. With this launch, customers can tag allocations at creation time or add tags to existing allocations. These tags can be referenced in AWS Identity and Access Management and Service Control Policies, enabling centralized governance over IP address usage at scale. For example, a network administrator can tag allocations by environment and enforce an IAM policy that allows only the production networking role to allocate from the pool, while development teams are restricted to development pools. Customers can also search and filter allocations by tag across all IPAM pools, making it faster to locate specific IP address ranges in large, multi-account environments.
This feature is available in all AWS Regions where IPAM is available at no additional cost. To learn more, see the IPAM User Guide. To get started with IPAM, visit the IPAM console.
Quelle: aws.amazon.com

Amazon RDS now supports ENA Express for Multi-AZ replication

Amazon RDS Multi-AZ instances now use ENA Express for replication traffic between Availability Zones. ENA Express uses AWS’s Scalable Reliable Datagram (SRD) protocol to optimize network performance by delivering up to 25 Gbps single-flow bandwidth for cross-AZ replication traffic leveraging advanced congestion control and multi-pathing capabilities, and reducing latency variability for Multi-AZ deployments. RDS Multi-AZ instances replicate data synchronously to a standby in a different Availability Zone to provide high availability and automatic failover. AWS SRD, used by ENA Express, improves replication by dynamically distributing traffic across multiple network paths and adapting to congestion in real time. Amazon RDS Multi-AZ with ENA Express delivers increased write throughput and lower write latencies for write-intensive database workloads. ENA Express for Amazon RDS is available at no additional charge for Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon RDS for Db2, and Amazon RDS for Oracle. It is supported in Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Mumbai, New Zealand, Osaka, Seoul, Singapore, Sydney, Taipei, Thailand, Tokyo), Canada (Central), Canada West (Calgary), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), Israel (Tel Aviv), Mexico (Central), US East (N. Virginia, Ohio), US West (N. California, Oregon), and AWS GovCloud (US) Regions. To enable this on your existing Amazon RDS instances, perform a start-stop or scale compute action. For a list of supported instance types on ENA Express, refer the user guide. 
Quelle: aws.amazon.com

Amazon WorkSpaces Personal now supports WorkSpace Migration for Linux WorkSpaces

Amazon WorkSpaces now supports the WorkSpace Migration feature for all Linux operating systems that Amazon WorkSpaces offers. This allows customers to seamlessly migrate WorkSpaces from one Linux operating system to another, automating the process to migrate to newer operating system versions or to move from one Linux operating system to another. When customers migrate their WorkSpaces from one operating system to another, the user data on a Linux WorkSpace’s home directory is now automatically moved to the new WorkSpace. Customers can seamlessly migrate WorkSpaces without having to manually copy data between WorkSpaces. This streamlines the process to upgrade Linux WorkSpaces to take advantage of the latest Linux operating systems without disrupting end users with manual migration steps. The WorkSpace Migration feature is now supported for all Linux operating systems in AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Personal is supported. For more information, see the Migrate a Linux WorkSpace section in the Amazon WorkSpaces Administration Guide.
Quelle: aws.amazon.com

AWS Security Agent adds verification scripts for pentest findings

AWS Security Agent now generates verification scripts for penetration test findings, enabling security teams to independently reproduce and validate discovered vulnerabilities. Previously, teams manually followed reproduction steps from finding details. Now, AWS Security Agent automatically generates ready-to-run scripts for each confirmed finding. Teams download the script, configure environment variables, and execute it against their target system to verify the vulnerability, streamlining triage and accelerating remediation. Verification scripts include setup instructions, documented environment variables, and redacted sensitive values. Available in all AWS Regions where AWS Security Agent is supported. To get started, run a penetration test, navigate to findings, and expand the Verification Script section. To learn more, see Review findings from a penetration test in the AWS Security Agent User Guide.
Quelle: aws.amazon.com

Amazon SageMaker adds business metadata and governance in IAM-based domains

Amazon SageMaker Unified Studio now supports business context, metadata and data governance capabilities in IAM-based domains. With this launch, customers using Amazon SageMaker IAM-based domains can add business context to their AWS Glue Data Catalog tables, including business names, descriptions, and README documentation. They can use AI-generated metadata to produce business names and descriptions automatically, reducing the effort of cataloging large numbers of tables. Customers can also create business glossaries so that teams across the organization use consistent definitions for terms like “ARR” or “churn rate,” and define metadata form templates to capture structured attributes such as data classification, retention policies, or ownership details.
With this business context in place, data engineers, analysts, and data scientists can search for and discover tables across the entire domain, filter results by glossary terms and metadata form fields, and request access through subscriptions. After an administrator approves the request, SageMaker Unified Studio automatically grants the necessary AWS Lake Formation permissions to the project. Administrators can also grant access to tables directly from within SageMaker Unified Studio without waiting for a request.
Amazon SageMaker Unified Studio business context, metadata, and governance capabilities in IAM-based domains are available in all AWS Regions where SageMaker Unified Studio is supported. To learn more, visit the Amazon SageMaker Unified Studio documentation.
Quelle: aws.amazon.com

New agentic migration assessment capabilities now available with AWS Transform

AWS Transform now offers advanced migration assessment capabilities including what-if scenarios, customizable assumptions, flexible file format support, and multiple new total cost of ownership (TCO) assessment features. These latest features let you quickly build a migration business case and accelerate your migration decisions. You can start your migration assessment with whatever data you have including RVTools exports, CMDB data, exports from the AWS Transform discovery tool, and a wide variety of third-party discovery tools. Create what-if scenarios for your migrations with customized assumptions including region, resource utilization, and service mapping. You can also compare scenarios and find the best path for your AWS migration. This latest release lets you include multiple analyses in your what-if scenarios including cost modelling of EC2, FSx, S3, SQL Server on EC2, and virtual desktops. On top of this, you can enhance your assessment with the inclusion of additional pillars of the Cloud Value Framework such as staff productivity, operational resilience, business agility, and sustainability. Now you can build a comprehensive assessment for migrating to AWS faster than ever before and start your migration with the confidence of having an optimized TCO. AWS Transform migration assessments are available in all AWS Regions where AWS Transform is offered. Learn more here on the user guide. 
Quelle: aws.amazon.com

Amazon SageMaker expands domain management across domain types

Amazon SageMaker Unified Studio now provides domain management experience for Identity Center and IAM-based domains outside of AWS console, allows administrators and data management teams to create and manage projects, configure workforce identity, manage users and permissions, and set networking properties for projects. Previously, this was only available for IAM based domains. With this launch, administrators of Identity Center-based domains can access domain management capabilities in SageMaker Unified Studio portal to create projects with configurable execution roles that define which AWS analytics, AI, and ML services the project can access. VPC configuration is consistent across both domain types, inherited by all projects, and can be edited to change the VPC, subnets, or security group. Administrators can also manage associated accounts, enabling users to publish and consume data from other AWS accounts within SageMaker Unified Studio. These features are available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, visit the Domain administration for Identity Center-based domains. 
Quelle: aws.amazon.com