Kategorie: Amazon AWS

Amazon VPC IPAM policies now support RDS and Application Load Balancers

Amazon Virtual Private Cloud (VPC) IP Address Manager (IPAM) now supports policies for Amazon Relational Database Service (RDS) instances and Application Load Balancers (ALB). This feature enables IP administrators to centrally configure and enforce IP allocation strategies for these resources, improving operational posture and simplifying network and security management. Using IPAM policies, IP administrators can centrally define public IP allocation rules for AWS resources, such as RDS instances, Application Load Balancers and Network Address Translation (NAT) Gateways when used in regional availability mode, and Elastic IP addresses. The IP allocation policy configured centrally cannot be superseded by individual application teams, ensuring compliance at all times. Before this feature, IP administrators had to educate database administrators and application developers about IP allocation requirements for RDS instances and Application Load Balancers, and rely on them to always comply with best practices. Now, you can add IP-based filters for RDS and ALB traffic in your networking and security constructs like access control lists, route tables, security groups, and firewalls, with confidence that public IPv4 address assignments to these resources always come from specific IPAM pools. The feature is available in all AWS commercial regions and the AWS GovCloud (US) Regions, in both Free Tier and Advanced Tier of VPC IPAM. When used with the Advanced Tier of VPC IPAM, customers can set policies across AWS accounts and AWS regions. To get started please see the IPAM policies documentation page. To learn more about IPAM, view the IPAM documentation. For details on pricing, refer to the IPAM tab on the Amazon VPC Pricing Page.
Quelle: aws.amazon.com

AWS IoT Device Management launches Wi-Fi Simple Setup for managed integrations

AWS IoT Device Management now offers Wi-Fi Simple Setup (WSS) for managed integrations, enabling developers to implement simplified Wi-Fi provisioning in Internet of Things (IoT) solutions. With WSS, developers can now integrate QR code scanning functionality that empowers end users to connect their Wi-Fi enabled devices using simple bar code scans, reducing device setup time and minimizing the need for technical support compared to manual configurations. The WSS capability operates through the managed integrations feature of AWS IoT Device Management. Managed integrations enables developers to control and manage devices across different vendors and connectivity protocols, while WSS helps streamline the device onboarding process. Once users securely store their Wi-Fi credentials in managed integrations, new device setup becomes nearly automatic. Users simply power on their new IoT device and scan its QR code using the solution provider’s mobile app. The new device discovers and connects to a hidden network broadcasted by the IoT hub, which securely transmits the user’s pre-stored Wi-Fi credentials to complete the onboarding process. This creates a near zero-touch experience for end users to securely and conveniently onboard Wi-Fi-connected devices into managed integrations-based IoT solutions. The managed integrations feature is available in Canada (Central) and Europe (Ireland) To learn more, refer to the developer guide and get started on the AWS IoT console.
Quelle: aws.amazon.com

Amazon Lex launches improved speech recognition models for English

Amazon Lex now offers a neural automatic speech recognition (ASR) model for English that delivers improved recognition accuracy for your voice bots. Trained on data from multiple English locales, the model excels at recognizing conversational speech patterns across diverse speaking styles, including non-native English speakers and regional accents. This reduces the need for end-customers to repeat themselves and improves self-service success rates. To enable this feature, select “Neural” as the speech recognition option in your bot’s locale settings. This feature is available in all AWS commercial regions where Amazon Connect and Lex operate. To learn more, visit the Amazon Lex documentation or explore the Amazon Connect website to learn how Amazon Connect and Amazon Lex deliver seamless end-customer self-service experiences. 
Quelle: aws.amazon.com

Amazon Connect Cases now supports AWS CloudFormation

Amazon Connect Cases now supports AWS CloudFormation, enabling you to model, provision, and manage case resources as infrastructure as code. With this launch, administrators can create CloudFormation templates to programmatically deploy and update their Cases configuration—such as templates, fields, and layouts—across Amazon Connect instances, reducing manual setup time and minimizing configuration errors. Amazon Connect Cases is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
Quelle: aws.amazon.com

Amazon MSK Connect is now available in three additional AWS Regions

Amazon MSK Connect is now available in three additional AWS Regions: Asia Pacific (New Zealand), AWS GovCloud (US-East), and AWS GovCloud (US-West). MSK Connect enables you to run fully managed Kafka Connect clusters with Amazon Managed Streaming for Apache Kafka (Amazon MSK). With a few clicks, MSK Connect allows you to easily deploy, monitor, and scale connectors that move data in and out of Apache Kafka and Amazon MSK clusters from external systems such as databases, file systems, and search indices. MSK Connect eliminates the need to provision and maintain cluster infrastructure. Connectors scale automatically in response to increases in usage and you pay only for the resources you use. With full compatibility with Kafka Connect, it is easy to migrate workloads without code changes. MSK Connect will support both Amazon MSK-managed and self-managed Apache Kafka clusters. You can get started with MSK Connect from the Amazon MSK console or the Amazon CLI. With this launch, MSK Connect is now available in thirty eight AWS Regions. To get started visit, the MSK Connect product page, pricing page, and the Amazon MSK Developer Guide.
Quelle: aws.amazon.com

Amazon EC2 X8aedz instances are now available in Asia Pacific (Mumbai, Seoul) regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8aedz instances are available in Asia Pacific (Mumbai) and Asia Pacific (Seoul) regions. These instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin). These instances offer the highest maximum CPU frequency, 5GHz in the cloud. X8aedz instances are built using the latest sixth generation AWS Nitro Cards and are ideal for electronic design automation (EDA) workloads such as physical layout and physical verification jobs, and relational databases that benefit from high single-threaded processor performance and a large memory footprint. The combination of 5 GHz processors and local NVMe storage enables faster processing of memory-intensive backend EDA workloads such as floor planning, logic placement, clock tree synthesis (CTS), routing, and power/signal integrity analysis. X8aedz instances feature a 32:1 ratio of memory to vCPU and are available in 8 sizes ranging from 2 to 96 vCPUs with 64 to 3,072 GiB of memory, including two bare metal variants, and up to 8 TB of local NVMe SSD storage. Customers can purchase X8aedz 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 X8aedz instance page.
Quelle: aws.amazon.com

Amazon Neptune Database now supports R7g and R8g instances in 5 additional regions

Amazon Neptune Database now supports Graviton3-based R7g and Graviton4-based R8g instances for Amazon Neptune engine versions 1.4.5 or above, in Asia Pacific (Hong Kong), Asia Pacific (Osaka), Asia Pacific (Singapore), Canada (Central) and US West (N. California). R7g and R8g instances are priced -16% vs R6g. Graviton3-based R7g are the first AWS database instances to feature the latest DDR5 memory, enabling high-speed access to data in memory. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Graviton4-based R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. AWS Graviton4 processors are up to 40% faster for databases than AWS Graviton3 processors. You can launch R7g and R8g instances for Neptune using the AWS Management Console or using the AWS CLI. Upgrading a Neptune cluster to R7g or R8g instances requires a simple instance type modification for Neptune engine versions 1.4.5 or higher. For more information on pricing and regional availability, refer to the Amazon Neptune pricing page.
Quelle: aws.amazon.com

Amazon Lex launches configurable voice activity detection sensitivity

Amazon Lex now provides three VAD sensitivity levels that can be configured for each bot locale: Default, High, and Maximum. The Default setting is suitable for most environments with typical background noise levels. High is designed for environments with consistent but moderate noise levels, such as busy offices or retail spaces. Maximum provides the highest tolerance for very noisy environments such as manufacturing floors, construction sites, or outdoor locations with significant ambient noise. You can configure VAD sensitivity when creating or updating a bot locale in the Amazon Connect’s Conversational AI designer.
This feature is available in all AWS commercial regions where Amazon Connect and Lex operate. To learn more, visit the Amazon Lex documentation or explore the Amazon Connect website to learn how Amazon Connect and Amazon Lex deliver seamless end-customer self-service experiences.
Quelle: aws.amazon.com

Amazon SageMaker HyperPod now validates service quotas before creating clusters on console

Amazon SageMaker HyperPod console now validates service quotas for your AWS account before initiating cluster creation, enabling you to confirm sufficient quota availability before provisioning begins. SageMaker HyperPod helps you provision resilient clusters for running AI/ML workloads and developing state-of-the-art models such as large language models (LLMs), diffusion models, and foundation models (FMs). When creating large-scale AI/ML clusters, you need to ensure your account has sufficient quotas for instances, storage, and networking resources, but quota validation previously required manual checks across multiple AWS services, often resulting in failed cluster creation attempts and wasted time if you miss requesting quota limit increases. The new quota validation capability in the SageMaker HyperPod console automatically checks your account-level quotas against your cluster configuration, including instance type limits, EBS volume sizes, and VPC-related quotas when creating new resources. The validation displays a clear table showing expected utilization, applied quota values, and compliance status for each quota. When quotas may be exceeded, you receive a warning alert with direct links to the Service Quotas console to request increases. This feature is available in all AWS Regions where Amazon SageMaker HyperPod is supported. For a complete list of service quota validation checks performed, refer to the Amazon SageMaker HyperPod User Guide.
Quelle: aws.amazon.com

Amazon Inspector adds Java Gradle support and expands ecosystem coverage

Amazon Inspector scanning for Lambda functions and Elastic Container Registry (ECR) images now supports Java Gradle inventory and vulnerability scanning. This release also adds coverage for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl. This update enhances Amazon Inspector’s ability to detect vulnerabilities and misconfigurations across a broader range of applications and environments. Amazon Inspector is an automated vulnerability management service that continually scans AWS workloads for software vulnerabilities and unintended network exposure, helping organizations improve their security posture and meet compliance requirements. The new Java Gradle support allows Inspector to scan Java dependencies based on gradle.lockfile content, providing comprehensive vulnerability assessments for Java applications. When you use Inspector to scan Lambda functions and ECR images, you will now see findings for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl installations. These enhancements enable more accurate detection of vulnerabilities in packages installed outside of package managers, improving overall security coverage for AWS customers using these technologies. To learn more about Amazon Inspector and how it can help secure your AWS workloads, visit the Amazon Inspector page. For a full list of Amazon Inspector supported operating systems and programming languages, see the user guide. You can start using these new features today in all AWS Regions where Amazon Inspector is available.
Quelle: aws.amazon.com