Amazon EC2 X8i instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the Europe (Milan) and Europe (Spain) regions. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances.    X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options.    To get started, visit the AWS Management Console. X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page.
Quelle: aws.amazon.com

AWS Glue 5.1 is now available in AWS European Sovereign Cloud Region

AWS Glue 5.1 is now available in the AWS European Sovereign Cloud Region. AWS Glue is a serverless, scalable data integration service that simplifies discovering, preparing, moving, and integrating data from multiple sources. AWS Glue 5.1 upgrades core engines to Apache Spark 3.5.6, Python 3.11, and Scala 2.12.18, bringing performance and security enhancements. This release also updates support for open table format libraries, including Apache Hudi 1.0.2, Apache Iceberg 1.10.0, and Delta Lake 3.3.2. Additionally, AWS Glue 5.1 introduces support for Apache Iceberg format version 3.0, adding default column values, deletion vectors for merge-on-read tables, multi-argument transforms, and row lineage tracking. This release extends AWS Lake Formation fine-grained access control to write operations – both DML and DDL – for Spark DataFrames and Spark SQL. Previously, this capability was limited to read operations only. AWS Glue 5.1 also adds full-table access control in Apache Spark for Apache Hudi and Delta Lake tables, providing more comprehensive security options for your data. With this expansion, AWS Glue 5.1 is now available all AWS commercial and AWS GovCloud (US) Regions. You can get started with AWS Glue 5.1 using AWS APIs, AWS CLI, AWS SDK, or AWS Glue Studio. To learn more, visit the AWS Glue product page and our documentation. 
Quelle: aws.amazon.com

Mountpoint for Amazon S3 adds memory usage controls

Mountpoint for Amazon S3 can now limit memory usage, either automatically based on the environment it runs in or with a limit that you define. This lets you run Mountpoint alongside memory-intensive applications, for example, in machine learning training or analytics workloads where applications share a memory budget.
Previously, Mountpoint’s memory usage could expand over time based on usage patterns, potentially causing performance or stability issues when competing with other memory-intensive applications. With this launch, you can define a memory target for Mountpoint to reserve memory for your applications. Alternatively, Mountpoint can automatically determine a safe default based on the environment it runs in. For example, when running in Amazon EKS, Mountpoint can automatically detect a container’s assigned memory budget. Under memory pressure, Mountpoint slows down operations to stay within this budget, enabling you to run Mountpoint in containers with strict memory allocations.  
Mountpoint is available in all AWS Regions. To upgrade to the latest version, visit the Mountpoint GitHub repository. To learn more about Mountpoint, see the overview page and the configuration guide in the Mountpoint GitHub repository.
Quelle: aws.amazon.com

Amazon Connect Customer now supports unplanned shrinkage in agent schedules

Amazon Connect Customer now enables managers to input unplanned shrinkage in agent schedules, providing a more accurate picture of staffing due to unscheduled agent absences such as late logins or unplanned sick leave. Managers can upload unplanned shrinkage assumptions directly into agent schedules and immediately see updated scheduling metrics such as scheduled headcount, net staffing, and projected service level — each adjusted for unplanned shrinkage. For example, if 10% of the agents scheduled to work at 8 AM next Monday are expected to be unavailable due to late logins, then projected service level falls from 90% to 85% with unplanned shrinkage. This enables workforce managers to proactively address gaps in staffing that may arise due to unplanned agent unavailability, thus improving scheduling accuracy and their ability to maintain target service levels.

This feature is available in all  AWS Regions  where Amazon Connect Customer agent scheduling is available. To learn more about Amazon Connect Customer agent scheduling, click  here .
Quelle: aws.amazon.com

Amazon Cognito adds admin API operation to reset user TOTP configurations

Amazon Cognito now provides a new admin API operation to reset a user’s time-based one-time Password (TOTP) multi-factor authentication (MFA) configuration. When users lose access to their TOTP device, administrators can remove the device association, allowing the user to enroll a new device on their next sign-in.
This removes the need to recreate accounts to recover locked-out users if they lose access to their TOTP device. Customers can maintain MFA enforcement while providing a recovery path.
This new capability is available in all AWS Regions where Amazon Cognito is available. To get started, access the AdminDeleteSoftwareToken API using the AWS CLI, SDKs, or APIs. See the developer guide for instructions.
Quelle: aws.amazon.com

Amazon EC2 R8id instances are now available in additional AWS Regions

Amazon Elastic Compute Cloud (Amazon EC2) R8id instances are now available in additional regions. R8id instances are now available in Asia Pacific (Mumbai, Malaysia, Sydney), Canada (Central), and Europe (Ireland, Stockholm).
R8id instances feature up to 22.8TB of NVMe SSD local instance storage, 3x more than R6id, and provide up to 3.3x higher memory bandwidth, delivering up to 43% higher performance compared to R6id instances. They are ideal for memory-intensive workloads that benefit from high-performance local storage, including in-memory databases, real-time big data analytics, large in-memory caches, and data processing applications. Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes.
Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 R8id page.
Quelle: aws.amazon.com

Amazon EC2 C8id and M8id instances are now available in additional AWS Regions

Amazon Elastic Compute Cloud (Amazon EC2) C8id and M8id instances with up to 22.8 TB of local NVMe-based SSD block-level storage are now available in additional regions. C8id instances are now available in Asia Pacific (Sydney) and Canada (Central) and M8id instances are available in Asia Pacific (Mumbai) and Canada (Central).
Amazon EC2 C8id and M8id instances offer 3 times more vCPUs, memory and local storage compared to previous sixth-generation instances. These instances deliver up to 43% higher compute performance and 3.3 times more memory bandwidth compared to previous sixth-generation C6id and M6id instances. They also deliver up to 46% higher performance for I/O intensive database workloads, and up to 30% faster query results for I/O intensive real-time data analytics compared to previous sixth generation instances.

C8id instances are ideal for compute-intensive workloads, including those that need access to high-speed, low-latency local storage like video encoding, image manipulation, and other forms of media processing.
M8id instances are best for workloads that require a balance of compute and memory resources along with high-speed, low-latency local block storage, including data logging, media processing, and medium-sized data stores.

Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes.
Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 C8id and Amazon EC2 M8id pages.
Quelle: aws.amazon.com

Amazon Connect Customer now supports points-based scoring in performance evaluations

Amazon Connect Customer now supports points-based scoring to evaluate human and AI agent performance, giving managers more flexibility in configuring evaluation scores. With points-based scoring, managers assign points to each criterion based on its importance to the business, and the score is the sum of the points earned. In contrast, with the existing percentage-based scoring, each question is assigned weights that need to add up to 100%. For example, a points-based evaluation might award 40 points for resolving the customer’s problem, 20 for meeting compliance requirements, and 10 for a proper greeting – without the need for scores to add up to 100. Managers control how points are awarded: combining several compliance criteria into one multiple-choice question to shorten the form, excluding the call reason from scoring, or awarding bonus points for strong customer rapport. Managers decide what counts, how much it counts, and what earns extra credit, so the score reflects what the business values most.
This feature is available in all regions where Amazon Connect Customer is offered. To learn more, please visit our documentation and our webpage.
Quelle: aws.amazon.com

AWS Lambda MicroVMs now supports AWS PrivateLink

AWS Lambda MicroVMs now supports AWS PrivateLink, enabling private connectivity to Lambda MicroVMs directly from Amazon Virtual Private Cloud (VPC) resources without exposing traffic to the public internet. This launch helps regulated workloads in financial services, healthcare, and government meet strict network isolation requirements when building with Lambda MicroVMs. 
PrivateLink VPC Endpoints deliver private connectivity to AWS services from your VPC, ensuring that your traffic does not travel over the public internet when communicating with AWS services. Today’s launch extends this capability to Lambda MicroVMs. Developers and IT teams needing private connectivity to Lambda MicroVMs can now create PrivateLink VPC Endpoints in their VPC to call MicroVM APIs (for example, to create MicroVM images or launch MicroVMs) and to connect to each MicroVM’s HTTP endpoint.
PrivateLink VPC Endpoints for Lambda MicroVMs can be created using the AWS Management Console, AWS CLI, AWS CloudFormation, or the AWS SDKs. This feature is supported in all Regions where Lambda MicroVMs is available. Visit the AWS Capabilities by Region page for the latest region availability.  
To learn more about using PrivateLink with Lambda MicroVMs, see the developer guide. For pricing details, see AWS PrivateLink Pricing. To learn more about configuring private connectivity for AWS services, visit the AWS PrivateLink developer guide. 
 
Quelle: aws.amazon.com

Capacity Reservation Resource Groups now support Amazon EC2 Capacity Blocks and interruptible Capacity Reservations

Starting today, you can add Amazon EC2 Capacity Blocks for ML and interruptible Capacity Reservations to Capacity Reservation Resource Groups. Amazon EC2 offers different reservation offerings such as On-Demand Capacity Reservations (ODCRs), interruptible Capacity Reservations, and Capacity Blocks for ML. Previously, a Capacity Reservation Resource Group could only include ODCRs. Now you can add any type of Capacity Reservation to a Capacity Reservation Resource Group, making it easier to launch EC2 instances across your entire portfolio of reserved capacity.
To use this feature, create a Capacity Reservation Resource Group, add any Capacity Reservation to it, and then target the group in your launch request. When using EC2 Fleet and EC2 Auto Scaling groups, you can also specify your prioritization preferences across reservation types, and configure automatic fall back to EC2 On-Demand capacity when there is no capacity remaining across your reservations.
There are no additional charges for using this feature. This feature is available in all AWS Regions where Capacity Blocks for ML and interruptible ODCRs are supported, excluding AWS GovCloud (US) and China Regions. To get started, see Capacity Reservation Resource Groups and the Capacity Reservations user guide.
Quelle: aws.amazon.com