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.
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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.
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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. 
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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.
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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.
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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.
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AWS Backup adds cross-Region database snapshot copy to logically air-gapped vaults

AWS Backup now supports single-action database snapshot copies to logically air-gapped vaults across AWS Regions. This capability is available for Amazon Aurora, Amazon Neptune, and Amazon DocumentDB snapshots, eliminating the need for an intermediate copying step in target Regions.
You can perform cross-Region and cross-account snapshot copies to protect against incidents like ransomware events and Region outages that might affect your production accounts or primary Regions. Previously, this required a two-step process—first copying snapshots to the target Region in a backup vault, then copying them to the logically air-gapped vault in the same Region. Now, you can complete this in one step, achieving faster recovery point objectives (RPOs) while eliminating costs associated with intermediate copies. This streamlined process also removes the need for custom scripts or AWS Lambda functions to monitor intermediate copy status.
This feature is available for Amazon Aurora, Amazon Neptune and Amazon DocumentDB, in all Regions where AWS Backup supports these databases and logically air-gapped vaults. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer to the AWS Backup documentation.
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Announcing new Amazon EC2 general purpose M8azn instances

AWS is announcing the general availability of new Amazon EC2 M8azn instances, general purpose high-frequency high-network instances powered by fifth generation AMD EPYC (formerly code named Turin) processors, offering the highest maximum CPU frequency, 5GHz in the cloud. M8azn instances offer up to 2x compute performance compared to previous generation M5zn instances, and up to 24% higher performance than M8a instances. M8azn instances deliver up to 4.3x higher memory bandwidth and 10x larger L3 cache compared to M5zn instances allowing latency-sensitive and compute-intensive workloads to achieve results faster. These instances also offer up to 2x networking throughput and up to 3x EBS throughput versus M5zn instances. Built on the AWS Nitro System using sixth generation Nitro Cards, these instances are ideal for applications such as real-time financial analytics, high-performance computing, high-frequency trading (HFT), CI/CD, intensive gaming, and simulation modeling for the automotive, aerospace, energy, and telecommunication industries. M8azn instances feature a 4:1 ratio of memory to vCPU and are available in 9 sizes ranging from 2 to 96 vCPUs with up to 384 GiB of memory, including two bare metal variants. M8azn instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Frankfurt) Regions. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. To get started, sign in to the AWS Management Console. For more information visit the Amazon EC2 M8azn instance page.
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