Kategorie: Amazon AWS

Amazon Connect Talent for AI-powered hiring (now available in Preview)

Amazon Connect Talent is now available in Preview, giving talent acquisition leaders an AI-powered hiring solution that accelerates candidate selection at scale. Informed by decades of Amazon’s hiring science, Amazon Connect Talent uses AI agents to conduct structured voice interviews, administer science-backed assessments, and score candidates consistently — freeing recruiters to focus on strategic decisions. Candidates interview 24/7 from any device. Recruiters review scores, transcripts, and detailed candidate evaluations generated by their AI teammate — empowering them to make faster hiring decisions with consistent objectivity. Preview capabilities include AI-driven skills assessments, AI-led voice interviews with adaptive questioning, a brand-customizable mobile-first candidate portal, a comprehensive recruiter dashboard, system admin onboarding tools, and Applicant Tracking System (ATS) integrations for quick deployment. Amazon Connect Talent scales to handle hiring surges, evaluating hundreds of candidates simultaneously. Amazon Connect Talent is available in AWS US East (N. Virginia) and US West (Oregon) regions. To learn more and request access, visit the Amazon Connect Talent page.
Quelle: aws.amazon.com

Amazon EC2 C8gn instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS Europe (Milan) and Asia Pacific (Hong Kong) regions. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. 
Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. 
For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 120 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. 
C8gn instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon, N.California), Europe (Frankfurt, Stockholm, Ireland, London, Spain, Zurich, Milan), Asia Pacific (Singapore, Malaysia, Sydney, Thailand, Mumbai, Seoul, Melbourne, Jakarta, Hyderabad, Tokyo, Hong Kong), Middle East (UAE), Africa (Cape Town), Canada West (Calgary, Central), South America (Sao Paulo), AWS GovCloud (US-East, US-West).   To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Quelle: aws.amazon.com

AWS Cost Optimization Hub now supports CSV download

AWS Cost Optimization Hub now supports direct CSV download in the console, enabling you to export your cost optimization recommendations to your local machine with a single click. This capability provides a one click export option directly from the console and complements the existing Data Export feature for automated exports to Amazon S3.
With CSV download, you can instantly export recommendations that use your current console filters, sorting preferences, and grouping settings. The download begins immediately, making it easy to analyze recommendations in spreadsheet applications, share with stakeholders who don’t have AWS console access, or work with recommendations offline in your preferred tools.
This feature is available now in all regions where AWS Cost Optimization Hub is offered. To learn more, visit the Cost Optimization Hub page.
Quelle: aws.amazon.com

AWS Glue 5.1 is now available in all AWS Commercial and AWS GovCloud (US) Regions

AWS Glue 5.1 is now available in the Asia Pacific (New Zealand), AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. 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

Amazon FSx for OpenZFS Single-AZ (HA) file systems are now available in 17 additional AWS commercial and AWS GovCloud (US) Regions

You can now create Amazon FSx for OpenZFS Single-AZ (HA) file systems in seventeen additional AWS Regions across the South America, Europe, Africa, Asia Pacific, and AWS GovCloud (US).
Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system. It’s designed to deliver sub-millisecond latencies and multi-GB/s throughput along with rich ZFS-powered data management capabilities (like snapshots, data cloning, and compression). Single-AZ (HA) file systems are a cost-effective solution for workloads that need high availability but don’t need storage redundancy across multiple availability zones, such as data analytics, machine learning, and semiconductor chip design.
With this expansion, FSx for OpenZFS Single-AZ (HA) file systems are now available in the following additional AWS Regions: Africa (Cape Town), Asia Pacific (Hyderabad, Jakarta, Malaysia, Osaka, Taipei, Thailand), Canada West (Calgary), Europe (Milan, Paris, Spain, Zurich), Israel (Tel Aviv), Mexico (Central), South America (São Paulo), and AWS GovCloud (US-East, US-West). To learn more about Amazon FSx for OpenZFS, visit our product page, and see the FSx for OpenZFS Region Table for complete regional availability information.
Quelle: aws.amazon.com

Amazon Connect increases attachment file sizes and adds custom file types

Amazon Connect now supports attachment file sizes up to 100 MB for chat, cases, and tasks, up from the previous 20 MB limit. Administrators can enable these higher limits and configure custom file extensions for attachments across chat, email, cases, and tasks through the Amazon Connect admin website or Amazon Connect APIs.
A technology company supporting enterprise customers can now accept files like diagnostic bundles and log archives up to 100 MB through chat, reducing back-and-forth and helping agents resolve issues faster. A financial services firm can add file extensions for signed contracts or compliance documents, giving customers the ability to attach paperwork directly in chat or email.
You can use these features in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Osaka), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Africa (Cape Town), Canada (Central), Europe (Frankfurt), and Europe (London).
To learn more, visit Amazon Connect and see Enable Attachments in the Amazon Connect Administrator Guide.
Quelle: aws.amazon.com

AWS KMS now tracks last usage of all KMS keys

AWS Key Management Service (KMS) now provides visibility into the last cryptographic operation performed with your KMS keys, eliminating the need to manually query and analyze logs. This feature helps security administrators and compliance teams quickly determine when their KMS keys were last used for cryptographic operations. You can view the timestamp, the type of operation performed, and the associated AWS CloudTrail event ID from the AWS KMS management console, or via API.
You can use this feature to help identify unused keys for cleanup, verify that keys are actively used, and track down how your keys are used in AWS CloudTrail. In addition, you can use the new condition key (kms:TrailingDaysWithoutKeyUsage) that enables policy-based protection against accidental deletion of recently used keys.
The feature is available in all AWS Regions where AWS KMS is available, including all commercial AWS Regions, AWS GovCloud (US) Regions, and AWS China Regions. For more information, see Determine past usage of a KMS key in the AWS KMS Developer Guide.
Quelle: aws.amazon.com

Amazon Redshift Serverless is now available in the AWS Asia Pacific (Melbourne) and Canada West (Calgary) regions

Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS Asia Pacific (Melbourne) and Canada West (Calgary) regions. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications. With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, Apache Iceberg in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.
Quelle: aws.amazon.com

Amazon Redshift Serverless AI-driven scaling is now the default for new workgroups

Amazon Redshift Serverless now makes AI-driven scaling and optimization the default for all new workgroups. AI-driven scaling uses machine learning to predict compute needs and automatically adjust resources before queries queue, delivering better price-performance without manual tuning. This release also expands support to workloads with a Base RPU range of 8–512 RPU, up from the previous 32–512 RPU, reducing the entry cost for AI-driven scaling. With AI-driven scaling and optimization, Amazon Redshift monitors your workload patterns and automatically adjusts compute resources based on query complexity, data volume, and expected data scan size. You can use the price-performance slider to choose whether to prioritize cost, performance, or a balance of both. Amazon Redshift also applies additional optimizations, including automatic materialized views and automatic table design optimization, to meet your selected target. To configure price-performance targets, use the AWS Management Console or Amazon Redshift API operations. You can also modify the target after you create the workgroup. Amazon Redshift Serverless AI-driven scaling and optimization is available in all AWS Regions where Amazon Redshift Serverless is available. For more information, see Amazon Redshift Serverless product page and AI-driven scaling and optimization documentation.
Quelle: aws.amazon.com

Amazon WorkSpaces Personal Supports Rocky 9, Red Hat Enterprise Linux 9, and Ubuntu 24.04

AWS announces availability of new Linux bundles for Amazon WorkSpaces Personal, including Rocky Linux 9, Red Hat Enterprise Linux 9, and Ubuntu 24.04. With these bundles, customers can launch WorkSpaces powered by the latest enterprise-grade Linux operating systems and take advantage of modern versions of Linux packages only available in these updated releases. While Rocky Linux 8, Red Hat Enterprise Linux 8, and Ubuntu 22.04 powered WorkSpaces bundles remain available, the new OS options bring access to the latest software ecosystems, improved security postures, and extended long-term support lifecycles offered by each respective distribution. These new bundles also provide a migration path for Amazon Linux 2 customers ahead of its end of life in June 2026. You can get started using managed Rocky Linux 9, Red Hat Enterprise Linux 9, or Ubuntu 24.04 WorkSpaces bundles by selecting one when creating a new Linux WorkSpace. These new bundles are available in all AWS Regions where Amazon WorkSpaces is available. For pricing information, visit the Amazon WorkSpaces pricing page.
Quelle: aws.amazon.com