Kategorie: Amazon AWS

Announcing new high performance computing Amazon EC2 Hpc8a instances

AWS announces Amazon EC2 Hpc8a instances, the next generation of high performance computing optimized instance, powered by 5th Gen AMD EPYC processors (formerly code named Turin). With a maximum frequency of 4.5GHz, Hpc8a instances deliver up to 40% higher performance and up to 25% better price performance compared to Hpc7a instances, helping customers accelerate compute-intensive workloads while optimizing costs. Built on the latest sixth-generation AWS Nitro Cards, Hpc8a instances are designed for compute-intensive, latency-sensitive HPC workloads. They are ideal for tightly coupled applications such as computational fluid dynamics (CFD), weather forecasting, explicit finite element analysis (FEA), and multiphysics simulations that require fast inter-node communication and consistent high performance. Hpc8a instances feature 192 cores, 768 GiB memory and 300 Gbps of Elastic Fabric Adapter (EFA) network bandwidth, enabling fast, low-latency cluster scaling for large-scale HPC workloads. Compared to Hpc7a instances, Hpc8a instances also provide up to 42% higher memory bandwidth, further improving performance for memory-intensive simulations and scientific computing workloads. Hpc8a instances are available today in US East (Ohio) and Europe (Stockholm). Customers can purchase Hpc8a instances via Savings Plans or On-Demand instances. To get started, sign in to the AWS Management Console. For more information visit the Amazon EC2 Hpc8a instance page or AWS news blog.
Quelle: aws.amazon.com

AWS HealthImaging launches additional metrics for monitoring data stores

AWS HealthImaging has launched additional metrics through Amazon CloudWatch that enable monitoring storage at the account and data store levels. These new metrics help customers better understand their medical imaging storage and growth trends over time. HealthImaging now provides customers with granular CloudWatch metrics to monitor their data stores. Customers can track storage by volume, number of image sets, and the number of DICOM studies, series, and instances. These metrics provide the insights needed to manage both single-tenant and multi-tenant workloads at petabyte scale. To learn more, visit Using Amazon CloudWatch with HealthImaging. AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers and their software partners to store, analyze, and share medical images. AWS HealthImaging is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland).
Quelle: aws.amazon.com

Amazon EC2 High Memory U7i instances now available in additional regions

Amazon EC2 High Memory instances are now available in new regions – U7i-6tb.112xlarge instances in AWS South America (Sao Paulo) and Europe (Milan), U7i-12tb.224xlarge in AWS GovCloud (US-East), and U7in-16tb.224xlarge instances in Europe (London). U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TiB of DDR5 memory, U7i-12tb instances offer 12TiB of DDR5 memory, and U7in-16tb instances offer 16TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-6tb instances offer 448 vCPUs and support up to 100Gbps Elastic Block Storage (EBS) and deliver up to 100Gbps of network bandwidth. U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) and deliver up to 100Gbps of network bandwidth. U7in-16tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) and deliver up to 200Gbps of network bandwidth for faster data loading and backups. All U7i instances 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 EC2 supports nested virtualization on virtual Amazon EC2 instances

Starting today, customers can create nested environments within virtualized Amazon EC2 instances. Previously, customers could only create and manage virtual machines inside bare metal EC2 instances. With this launch, customers can create nested virtual machines by running KVM or Hyper-V on virtual EC2 instances. Customers can leverage this capability for use cases such as running emulators for mobile applications, simulating in-vehicle hardware for automobiles, and running Windows Subsystem for Linux on Windows workstations.
 
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Announcing Amazon DocumentDB long-term support (LTS) on 5.0

Starting today, Amazon DocumentDB (with MongoDB compatibility) offers Long-Term Support (LTS) on DocumentDB 5.0, enabling customers to reduce database upgrade frequency and maintenance overhead. LTS versions will receive only critical stability and security patches without introducing new features. To get started, create a new DocumentDB cluster engine version 5.0.0, or patch your existing engine version 5.0.0 cluster during your next maintenance window. Verify you’re running the required Engine Patch Version by connecting to your cluster and running db.runCommand({getEngineVersion: 1}). Ensure you’re running Engine Patch Version 3.0.17983 or later. This LTS release is available in all Amazon Web Services regions where DocumentDB is offered. For more details about DocumentDB LTS, and how to check to see what engine patch version you’re on, refer to the Long-Term Support (LTS) release for Amazon DocumentDB.
Quelle: aws.amazon.com

Amazon Aurora DSQL adds support for identity columns and sequence objects

Amazon Aurora DSQL now supports identity columns and sequence objects enabling developers to generate auto-incrementing, integer-based IDs directly in the database using familiar SQL patterns. This launch simplifies migrations of existing PostgreSQL applications and supports development of new workloads that rely on database-managed integer identifiers. Developers can create compact, human-readable IDs, such as order numbers, account IDs, or operational references without custom ID generation logic in application code or middleware. 
Quelle: aws.amazon.com

Amazon RDS now supports backup configuration when restoring snapshots

Amazon Relational Database Service (RDS) and Amazon Aurora now offer greater flexibility for restore operations to view and modify backup retention period and preferred backup window prior to and upon restoring database snapshots. The backup retention period lets you specify how many days backups are retained, while the preferred backup window allows you to set your desired backup schedule. Previously, restored database instances and clusters inherited backup parameter values from snapshot metadata and could only be modified after restore was complete. This launch introduces two enhancements – you can now view the backup retention period and preferred backup window settings as part of automated backups and snapshots, providing visibility into backup configurations before initiating restore operation. Additionally, you can now specify or modify the backup retention period and preferred backup window when restoring database instances and clusters, eliminating the need to modify the instance or cluster after restoration. These enhancements are available for all Amazon RDS database engines (MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and DB2) and Amazon Aurora (MySQL-Compatible and PostgreSQL-Compatible editions) in all AWS commercial regions and AWS GovCloud (US) regions where RDS and Aurora are supported and respective database engines are available. You can use these features through the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs at no additional cost. For more information, see Amazon RDS and Amazon Aurora User Guide.
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Amazon Connect now provides real time AI-powered overviews and recommended next actions for Tasks

Amazon Connect now provides AI-powered Task overviews with suggested next actions so agents can understand work items faster and resolve them more quickly. For example, when an agent receives a Task to process a refund request submitted through an online form, Amazon Connect summarizes earlier activities such as verifying order details, checking return eligibility, and confirming the payment method, and then presents recommended next steps to complete the refund. To enable this feature, add the Connect assistant flow block to your flows before a Task contact is assigned to your agent. You can guide the recommendations of your generative AI-powered Tasks assistant by adding knowledge bases. This new feature is available in all AWS regions where Amazon Connect real time agent assistance is available. To learn more and get started, refer to the help documentation, pricing page, or visit the Amazon Connect website.
Quelle: aws.amazon.com

Amazon Connect launches in-app notifications to surface critical operational alerts to business users

Amazon Connect now supports in-app notifications in the workspace header, visible from any page, so your team can stay informed without interrupting their workflow— whether configuring, analyzing data, or servicing customers. A notification icon appears in the header of every workspace page, with a badge indicating unread messages. Click the icon to view messages, access relevant resources through embedded links, and manage read/unread status—all without navigating away from your current task. For example, if all supervisors need to complete a certain training by end of week, a notification can be published to non-compliant users to remind them. The new notification APIs enable you to programmatically send targeted messages to specific audiences within your organization, ensuring teams stay aware of urgent updates, policy changes, and action items requiring immediate attention. Amazon Connect will also leverage this capability to deliver system updates and important announcements. In-app notifications are available in all AWS regions where Amazon Connect is available and offer public API and AWS CloudFormation support. To learn more about in-app notifications, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, please visit the Amazon Connect website.
Quelle: aws.amazon.com

AWS Batch now provides Job Queue and Share Utilization Visibility

AWS Batch now provides Queue and Share Utilization Visibility, giving you insights into how your workloads are distributed across compute resources. This feature introduces queue utilization data in job queue snapshots, revealing compute capacity used by your first-in-first-out (FIFO) and fair share job queues, along with capacity consumption by individual fair share allocations. Additionally, the ListServiceJobs API now includes a scheduledAt timestamp for AWS Batch service jobs, allowing you to track when jobs are scheduled for execution. Queue and Share Utilization Visibility helps you understand which fair-share allocations consume the most capacity and pinpoint the specific jobs driving resource consumption. You can monitor overall queue utilization and drill down into active shares to optimize resource distribution, or filter jobs by share identifier to analyze consumption patterns and scheduling behavior across your workloads. You can access this feature using the GetJobQueueSnapshot, ListJobs, and ListServiceJobs APIs, or through the AWS Batch Management Console by navigating to your job queue details page and selecting the new Share Utilization tab. This feature is available today in all AWS Regions where AWS Batch is available. To learn more, visit the Job Queue Snapshot, List Jobs, and List Service Jobs pages of the AWS Batch API Reference Guide.
Quelle: aws.amazon.com