Kategorie: Amazon AWS

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

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.
Quelle: aws.amazon.com

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.
Quelle: aws.amazon.com

Amazon RDS for PostgreSQL supports minor versions 18.2, 17.8, 16.12, 15.16 and 14.21

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes new extension pg_stat_monitor that enables you to collect performance metrics and evaluate query performance insights in a unified view. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).
 
Quelle: aws.amazon.com

AI Troubleshooting in the AWS Support Center Console now supports 7 additional languages

AI troubleshooting in the AWS Support Center Console is now available in seven languages in addition to English: Japanese, Korean, Mandarin (Simplified), Mandarin (Traditional), Spanish, Portuguese, French. AWS Support Center Console is the primary interface where customers manage their AWS support experience, including creating and tracking support cases. Previously, AI troubleshooting capabilities were only available in English, creating a barrier for customers who prefer to work in their native language. With this launch, customers can now interact with AI-powered troubleshooting assistance in their preferred language. AWS Support’s AI troubleshooting helps customers resolve issues faster by providing immediate, contextual recommendations while they create a support case. For example, a Japanese developer troubleshooting an EC2 connectivity issue can now receive AI-generated insights and potential solutions in Japanese, reducing the time needed to understand and implement fixes. This capability is seamlessly integrated into the support experience and is available to all customers regardless of support plan, ensuring that language is no longer a barrier to self-service support. All customers regardless of support plan can access the experience by selecting a supported language in their console settings and clicking the “Try it now” link in the banner at the top of the AWS Support Center Console.
Quelle: aws.amazon.com

Amazon Bedrock increases default quotas for Anthropic’s Claude Sonnet 4.5 model in AWS GovCloud (US)

Amazon Bedrock has increased the default quotas for Anthropic’s Claude Sonnet 4.5 in AWS GovCloud (US-West) and AWS GovCloud (US-East) to 5,000,000 tokens per minute and 1,000 requests per minute, aligning with commercial AWS regions. This 25x increase enables customers to scale their AI workloads more effectively in regulated environments. Claude Sonnet 4.5 is Anthropic’s latest Sonnet model, excelling at building complex agents, coding, and long-horizon tasks while maintaining optimal speed and cost-efficiency for high-volume use-cases.
Quelle: aws.amazon.com

Amazon MSK now supports broker logs on Express Brokers

Amazon Managed Streaming for Apache Kafka (MSK) now supports broker logs for Express brokers at no additional cost. With access to broker logs, you can troubleshoot client connectivity and availability issues and get insights into broker behavior during rebalances or fail-overs. You can also easily integrate Kafka operational telemetry into existing observability pipelines using pre-built integrations with Amazon CloudWatch Logs and Amazon S3. Broker Logs are available for both new and existing Express brokers . You can enable them from the Amazon MSK Console or AWS CLI. To learn how to setup broker log delivery, see the Amazon MSK broker logs documentation. MSK Express brokers are designed to deliver up to three times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent compared to Standard brokers running Apache Kafka. Express broker logs are supported in all AWS regions where express brokers are available. With Amazon MSK, you spend more time innovating on applications and less time managing clusters. Visit the Amazon MSK developer guide to get started. 
Quelle: aws.amazon.com

Amazon Aurora DSQL is now available in additional AWS Regions

Amazon Aurora DSQL is now available with single-Region clusters in Asia Pacific (Melbourne), Asia Pacific (Sydney), Canada (Central), and Canada West (Calgary). Aurora DSQL is the fastest serverless, distributed SQL database that enables you to build always available applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. It is designed to make scaling and resilience effortless for your applications and offers the fastest distributed SQL reads and writes. With this launch, Aurora DSQL is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), Canada West (Calgary), Asia Pacific (Melbourne), Asia Pacific (Sydney), Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Ireland), Europe (London), Europe (Frankfurt), and Europe (Paris). Get started with Aurora DSQL for free with the AWS Free Tier. To learn more, visit the Aurora DSQL webpage and documentation.
Quelle: aws.amazon.com

Amazon Connect launches auto-accept for tasks, chats, and emails

Amazon Connect now supports the ability to configure agents with auto-accept settings for chat, tasks, emails, and callbacks. When auto-accept is enabled, incoming contacts are automatically connected to available agents instead of waiting on the agent to manually accept or reject each contact, ensuring that customers receive timely assistance. Previously, these settings were available only for inbound voice contacts. You can now enable these settings at the channel level for each agent to further optimize how agents spend their time. For example, you could choose to enable auto-accept for tasks while keeping auto-accept disabled for voice calls to ensure that the agent is connected to a voice call only once they indicate they are ready.
Quelle: aws.amazon.com

Amazon Connect launches after contact work timeout configuration for tasks, chats, and emails

Amazon Connect now supports the ability to configure agents with after contact work timeout settings for chat, tasks, emails, and callbacks. After contact work timeouts improve agent efficiency by time-boxing the amount of time each agent can spend doing after contact work for a contact, before being automatically set back to a ready state so they can be offered another contact. You can now enable these settings at the channel level for each agent to further optimize how agents spend their time. For example, you could choose to enable a shorter ACW timeout for emails while maintaining a longer ACW timeout for voice contacts to give agents a cool-down period between phone calls to prepare for the next customer interaction.
Quelle: aws.amazon.com