10/28/2024, 12:00:00 AM ~ 10/29/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS Trust & Safety Center is now available on AWS re:Post

Starting today, the AWS Trust & Safety Center is available on AWS re:Post. The AWS Trust & Safety Center provides AWS customers with information on how to report activity or content on AWS that they suspect is abusive, and how to handle abuse notices sent by AWS Trust & Safety. In addition, it details AWS services that customers can use to help protect their applications, and best practices for digital messaging.\n As an example, if a customer detects suspicious activity on their network associated with an AWS IP, they can view the Abuse Reporting FAQs, and learn about prohibited uses of AWS services, how to submit an abuse report, and when to contact AWS Trust & Safety. To learn more, visit the AWS Trust & Safety Center on re:Post.

VPC DNS Query Logging now available in the Asia Pacific (Malaysia) Region

Today, we are announcing the availability of Route 53 Resolver Query Logging in the Asia Pacific (Malaysia) Region. Route 53 Resolver Query Logging enables you to log DNS queries that originate in your Amazon Virtual Private Clouds (Amazon VPCs). With query logging enabled, you can see which domain names have been queried, the AWS resources from which the queries originated - including source IP and instance ID - and the responses that were received.\n Route 53 Resolver is the Amazon DNS server that is available by default in all Amazon VPCs. Route 53 Resolver responds to DNS queries from AWS resources within a VPC for public DNS records, Amazon VPC-specific DNS names, and Amazon Route 53 private hosted zones. With Route 53 Resolver Query Logging, customers can log DNS queries and responses for queries originating from within their VPCs, whether those queries are answered locally by Route 53 Resolver, are resolved over the public internet, or are forwarded to on-premises DNS servers via Resolver Endpoints. You can share your query logging configurations across multiple accounts using AWS Resource Access Manager (RAM). You can also choose to send your query logs to Amazon S3, Amazon CloudWatch Logs, or Amazon Kinesis Data Firehose. There is no additional charge to use Route 53 Resolver Query Logging, although you may incur usage charges from Amazon S3, Amazon CloudWatch, or Amazon Kinesis Data Firehose. To learn more about Route 53 Resolver Query Logging or to get started, visit the Route 53 product page or the Route 53 documentation.

AWS India customers can now setup automated recurring payments on their cards

AWS India customers can now set up automated recurring payments to pay their monthly AWS invoices, through e-mandates on their debit and credit cards.\n As per Reserve Bank of India (RBI) guidelines, e-mandates allow customers to schedule automatic payments using saved cards. The automated recurring payments will streamline the bill payment process for customers. Once customers set up e-mandate, they will be automatically charged for invoices up to INR 15,000. This will avoid the need to make manual payments for monthly invoices, and help prevent missed payments.

To setup e-mandate on cards, customers can log-in to the AWS console, and navigate to the Payments page through the Billing Dashboard. They can then pay for an invoice by choosing a card. Customers will be prompted with a check-box to enable e-mandate for automated charging of invoices up to INR 15,000 while making the payment. Customers will then be routed to their bank website for multi-factor authentication (MFA) to complete the current payment and complete e-mandate setup. Once the payment is successful, the invoice will be marked as paid in the AWS console and automated payments will be setup for all future invoices up to INR 15,000. To learn more, See Managing payment methods in India

Amazon EC2 R7gd instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in Asia Pacific (Jakarta, Hong Kong), Middle East (UAE), and AWS GovCloud (US-East, US-West) Regions.\n R7gd are powered by AWS Graviton3 processors with DDR5 memory are built on the AWS Nitro System. They are ideal for memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. Graviton3-based instances use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud. To learn more, see Amazon R7gd Instances. To get started, see the AWS Management Console.

Meta’s Llama 3.1 8B and 70B models are now available for fine-tuning in Amazon Bedrock

Amazon Bedrock now supports fine-tuning for Meta’s Llama 3.1 70B and 8B models, enabling businesses to customize these generative AI models with their own data. The Llama 3.1 models offer significant improvements over earlier versions, including a 128K context length—16 times greater than Llama 3—allowing you to access and process larger volumes of information from lengthy text passages. You can use fine-tuning to adapt the Llama 3.1 models for domain-specific tasks, enhancing model performance for specialized use cases.\n According to Meta, Llama 3.1 models excel in multilingual dialogue across eight languages and demonstrate improved reasoning. The Llama 3.1 70B model is ideal for content creation, conversational AI, language understanding, R&D, and enterprise applications. It excels at tasks such as text summarization, text classification, sentiment analysis, nuanced reasoning, language modeling, dialogue systems, code generation, and following instructions. The Llama 3.1 8B model is best suited for scenarios with limited computational power and resources, excelling at text summarization, classification, sentiment analysis, and language translation, while ensuring low-latency inferencing. By fine-tuning Llama 3.1 models in Amazon Bedrock, businesses can further enhance their capabilities for specialized applications, improving accuracy and relevance without needing to build models from scratch. You can fine-tune Llama 3.1 models in Amazon Bedrock in the US West (Oregon) AWS Region. For pricing, visit the Amazon Bedrock pricing page. To get started, see the Bedrock user guide.

Amazon Connect now provides published forecast data in analytics data lake

Amazon Connect now provides published forecast (short-term and long-term) data in the analytics data lake, making it easier for you to generate reports and insights from this data. With published forecast data in data lake, you can build dashboards that compare forecasts against actuals or view this data in conjunction with other data sets such as sales forecasts. This launch eliminates the need for manually downloading each published forecast and allows you to automate ingestion of this data in business intelligence tools. To generate these reports and insights, you can use Amazon Athena with Amazon QuickSight or another business intelligence tool of your choice.\n This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here. To learn more about Amazon Connect analytics data lake, click here.

New look for AWS Marketplace product detail pages

AWS Marketplace has launched a refresh of its product detail pages, providing customers with an improved discovery and evaluation experience that includes a new modern design and rich content. The updated pages offer a streamlined content layout that surfaces accessible content, such as videos, alongside product highlights. Other enhancements include a searchable pricing section, and expanded usage information and customer reviews sections.\n Customers looking to find solutions that best fit their specific needs can now do so more easily in AWS Marketplace. With key information and product recommendations readily available on product detail pages, customers can more quickly narrow down their consideration sets to focus on identifying the right products for their business needs. Refreshed product detail pages in AWS Marketplace are available for Amazon Machine Image (AMI), container, and SaaS listings. To get started, visit the AWS Marketplace.

AWS Blu Age Runtime non managed now available in 11 more regions

AWS Blu Age Runtime non managed is now available in eleven additional AWS Regions. The AWS Blu Age Runtime offers a unified execution framework for Blu Age modernized applications. It empowers you to deploy modernized applications seamlessly on AWS compute infrastructure, leveraging the flexibility of pay-as-you-go billing. With the new regions, you’ll have additional options to deploy your application in the region of preference using the Release and Alpha pre-release versions to run your modernization project.\n The regional expansion comprises availability in Asia Pacific (Mumbai), Asia Pacific (Seoul), Europe (Stockholm), Canada (Central), Asia Pacific (Singapore), Europe (London), Asia Pacific (Osaka), and in the opt-in regions Europe (Milan), Africa (Cape Town), Europe (Spain), and Israel (Tel Aviv). These regions extend the current availability in US East (Ohio, N. Virginia), US West (N. California, Oregon), Asia Pacific (Sydney, Tokyo), Europe (Frankfurt, Ireland, Paris), and South America (São Paulo). AWS Blu Age Runtime non managed is also now packaged in a single-set of artifacts that can be installed through direct or containerized deployment to simplify upgrades, and to optimize continuous integration and deployment pipelines. It can be deployed on Amazon EC2, Amazon ECS, and Amazon EKS deployed on EC2, as well as Amazon ECS managed by AWS Fargate. To learn more, please visit the documentation page.

Amazon Location Service achieves FedRAMP High authorization

Amazon Location Service is a FedRAMP High authorized service in the AWS GovCloud (US-West) Region. Federal agencies, public sector organizations and other enterprises with FedRAMP High compliance requirements can now leverage Amazon Location Service in their applications.\n Amazon Location Service is a location-based service that helps developers easily and securely add maps, search places and geocodes, plan routes, and enable device tracking and geofencing capabilities into their applications. With Amazon Location Service, developers can start a new location project or migrate from existing mapping service workloads to benefit from cost reduction, privacy protection, and ease of integration with other AWS services. To learn more, visit the Amazon Location Service Developer Guide. To learn more, visit AWS Compliance Programs, or visit the AWS Services in Scope by Compliance Program to see a full list of services covered by each compliance program.

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