12/16/2022, 12:00:00 AM ~ 12/19/2022, 12:00:00 AM (UTC)

Recent Announcements

AWS IQ launches public profiles for companies

AWS Partners and consulting firms can now create an AWS IQ profile for their company and connect with AWS customers. Customers can message the Partner directly and connect to receive immediate help. Partners can choose to respond as a company or as an individual who works for the company when engaging with customers. Any Partner can set up a public profile showcasing their expertise, solutions, employee profiles, ratings, and reviews.

Amazon Fraud Detector launches Data Models Explorer

Amazon Fraud Detector now provides customers with a simple and effective way to align their business use cases with Amazon Fraud Detector data models. Amazon Fraud Detector is a fully managed service enabling customers to identify potentially fraudulent activities and catch more online fraud faster.

AWS Storage Gateway introduces Terraform modules for Amazon S3 File Gateway

AWS Storage Gateway introduces Terraform modules for deploying Amazon S3 File Gateways in VMware environments. You can now leverage Infrastructure as Code (IaC) to automate and streamline the provisioning and configuration of Amazon S3 File Gateways, providing users with a faster, repeatable, and secure deployment option that can scale.

AWS IoT is now available in the AWS Middle East (UAE) Region

We’re excited to announce availability of AWS IoT Core and AWS IoT Device Management in the AWS Middle East (UAE) Region. The AWS Middle East (UAE) Region is the second Region in the Middle East, in addition to the Middle East (Bahrain) Region.

Amazon Personalize extends limits to support more users and longer histories of interactions

We are excited to announce that Amazon Personalize has extended limits to support datasets with up to 100 million users and 3 billion interactions. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Amazon Personalize trains custom models for each customer using their unique data. Previously, these models could consider up to 50 million users in training. By doubling this limit, Amazon Personalize improves model performance for large customers by allowing them to train on a more diverse set of data. For customers with larger user bases that may exceed this limit, Amazon Personalize samples an optimal set of users before training. Previously, models trained by Amazon Personalize would also consider a maximum of 500 million of the latest interactions between users and items. Customers now have the option to increase their training time to consider up to 3 billion interactions. This can improve model performance by capturing more historical data for customers with a large user base or a high velocity of interactions. To increase the number of interactions considered by your model, simply request a service quota increase via the Service Quota console.

Amazon AppStream 2.0 is now available in the South America (São Paulo) region

You can now deploy Amazon AppStream 2.0 in the AWS South America (São Paulo) Region. Deploying AppStream 2.0 in your local region provides users with a more responsive experience and helps support your local data residency obligations. With this launch, you can deploy General Purpose, Compute Optimized, Memory Optimized, and Graphics G4DN instances to meet the needs of your users.

Introducing the new Amazon EMR Console

You can now use the newly re-designed Amazon EMR console. Amazon EMR is the cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. The new re-designed console introduces a new simplified experience to launch and manage clusters running big data processing workloads.

Amazon ECS now supports container port ranges for port mapping

Amazon Elastic Container Service (Amazon ECS) now enables you to configure port ranges for your container as part of the port mapping. Port mappings (specified in the container definition) allow containers to access ports on the host container instance to send or receive traffic. In addition to individual ports, Amazon ECS now allows your application to access an entire range of ports that you select by opening these ports on the container for you, and binding them to ports on the host. This makes it easier for you to run applications such as game servers and real-time streaming which typically require multiple ports to be opened simultaneously on the container.

Amazon SageMaker Experiments launches new capabilities to manage ML experiments performed in diverse IDEs

Amazon SageMaker Experiments now supports tracking and analysis of machine learning (ML) experiments performed in any IDE (e.g., SageMaker Studio, JupyterHub) or executable code (e.g., local notebooks, scripts) using the SageMaker Python SDK or Boto3. You can track the inputs, parameters, configurations, and results of your ML training iterations. You can assign, group, and organize these iterations into experiments.

Amazon EC2 M6a and C6a instances now available in five additional regions

Starting today, the general-purpose Amazon EC2 M6a instances and compute-optimized Amazon EC2 C6a instances are now available in US West (N. California), Asia Pacific (Singapore, Sydney, Tokyo), and Europe (London) regions. M6a and C6a instances are powered by third-generation AMD EPYC processors with an all-core turbo frequency of up to 3.6 GHz. M6a instances deliver up to 35% better price performance than comparable M5a instances, while C6a instances deliver up to 15% better price performance than comparable C5a instances. Both M6a and C6a instances offer 10% lower cost than comparable x86-based EC2 instances. These instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor that delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security.

Amazon QuickSight Q Topic migration APIs now available in preview

QuickSight Q now supports migration of Topics using APIs enabling authors to replicate topics from one account to another or to share topics with users across different namespaces. With this launch customers can use CI/CD pipelines and scripts to migrate topics from development accounts to test or production accounts without having to repetitively setup topics in new environments or accounts manually. Authors can easily migrate a Topic and replicate the metadata settings such as datasets used, fields, field names, synonyms and field settings. To access this feature in preview please contact quicksight-q-api-preview@amazon.com.

AWS Marketplace introduces free trials for SaaS usage-based pricing products

AWS Marketplace is announcing free trials for SaaS usage-based pricing products, an extension of the free trials for SaaS contracts experience that was introduced on May 31, 2022. With free trials in AWS Marketplace, Independent Software Vendors (ISVs) can grow their business by reducing sign up friction and providing prospects a first-hand experience of the product.

Amazon Route 53 now offers threat intelligence sourced from Recorded Future

Amazon Route 53 Resolver DNS Firewall has expanded its offering to include threat intelligence provided by Recorded Future, expanding the breadth of DNS threats you can block using the DNS Firewall’s AWS Managed Domain Lists. Recorded Future’s domain risk list contains over 100,000 domains, with dynamic risk scores, which is updated as new threats are identified and continuously added to DNS Firewall. Recorded Future’s Intelligence Cloud uses sandbox analysis, network traffic analysis, and command and control detection to identify potentially malicious domains from news sites, blogs, the dark web, TOR sites, underground forums, and other external sources.

Amazon Neptune Serverless is now available in 5 additional AWS Regions

Amazon Neptune Serverless is now available in the Canada (Central), Asia Pacific (Sydney), Asia Pacific (Singapore), Europe (Frankfurt), and Europe (Stockholm) AWS Regions.

AWS DataSync adds support for using tags in task executions

AWS DataSync now supports the use of tags with task executions. A DataSync task defines where and how data is transferred using AWS DataSync and a task execution is an individual run of a task. With this new feature, you can apply tags each time you execute a task, giving you greater control and management over your task executions.

AWS Gateway Load Balancer and Gateway Load Balancer endpoint now support IPv6 traffic

AWS Gateway Load Balancer (GWLB) and Gateway Load Balancer Endpoint (GWLBE) now support end-to-end connectivity using Internet Protocol version 6 (IPv6). Customers can now send IPv6 traffic through Gateway Load Balancers and its endpoints to distribute traffic flows to dual stack appliance targets.

Amazon EC2 C6id, M6id, R6id instances are now available in additional regions

Starting today, Amazon EC2 C6id, M6id and R6id instances are available in AWS Europe (Frankfurt). These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage. Compared to previous generation C5d, M5d and R5d instances, C6id, M6id and R6id instances deliver up to 15% better price performance. C6id offers up to 138% higher TB storage per vCPU and 56% lower cost per TB; M6id and R6id offer up to 58% higher TB storage per vCPU, and 34% lower cost per TB.

AWS Copilot announces support for Amazon ECS Service Connect

AWS Copilot now supports Amazon Elastic Container Service (Amazon ECS) Service Connect, a capability that simplifies building and operating resilient distributed applications. Service Connect enables you to have easier network setup and seamless communication between sevices deployed across multiple Amazon ECS clusters and virtual private clouds (VPCs). Service Connect enables you to add a layer of resilience to your Amazon ECS service communication and get traffic insights with no changes to your application code.

Amazon SageMaker Feature Store extends SageMaker Python SDK to support offline store

Today, Amazon SageMaker Feature Store is announcing SageMaker Python SDK support for its offline store. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, search, and share machine learning (ML) features. SageMaker Feature Store offline store contains historical ML features, and you can use it to generate training data sets for training and batch inference. Until today, you had to use Athena and Glue and write ad hoc SQL queries to create these training datasets.

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