12/14/2022, 12:00:00 AM ~ 12/15/2022, 12:00:00 AM (UTC)

Recent Announcements

Amazon SageMaker Ground Truth synthetic data now supports dynamic 3D environments

Amazon SageMaker Ground Truth synthetic data, a premium tailored service to generate labeled synthetic data, now supports dynamic 3D environments. We now provide support for full 3D scenes, 3D depth maps, multiple cameras in a scene, moving objects on a conveyor belt, and generation of auto-labeled video data. These features enable synthetic data generation for dynamic 3D environments for customer use cases in manufacturing, warehouse robotics, food packaging, retail, autonomous mobility and smart home.

AWS Cloud WAN helps simplify security inspection with Appliance Mode support

Starting today, AWS Cloud WAN supports Appliance Mode feature, giving you the ability to deploy stateful network appliances in an Amazon Virtual Private Cloud (VPC) and forward network traffic to the correct appliance for security inspection. Appliance Mode simplifies centralized deployment of security appliances in a VPC and allows using multiple Availability zones (AZs) for highly availability.

AWS Mainframe Modernization supports new regions, AWS CloudFormation, AWS PrivateLink, AWS Key Management Service

Today, we would like to announce enhancements to AWS Mainframe Modernization service including an expansion to 5 new regions and support for AWS CloudFormation, AWS PrivateLink, and AWS Key Management Service (KMS) resulting in repeatable deployment, and greater security and compliance.

Amazon CloudWatch launches Metrics Insights alarms

Amazon CloudWatch Metrics Insights alarms enables customers to alarm on entire fleets of dynamically changing resources with a single alarm using standard SQL queries. CloudWatch Metrics Insights offers fast, flexible, SQL-based queries. By combining CloudWatch alarms with Metrics Insights queries, customers can now set up dynamic alarms that consistently monitor fast moving environments and alert when anomalies are detected.

Amazon EKS add-ons now supports advanced configuration

Amazon EKS now supports advanced configuration of cluster add-ons, enabling you to customize add-on properties to help you meet performance, compliance, or additional requirements not handled by default settings. Configuration can be applied to add-ons either during cluster creation or at any time after the cluster is created. Amazon EKS now supports configuration for the following add-ons: Amazon VPC CNI, CoreDNS, kube-proxy, EBS CSI driver, and AWS Distro for OpenTelemetry. As an example, you can now install and configure Amazon VPC CNI to leverage EC2 prefixes for increased pod density on cluster worker nodes. Amazon EKS add-ons configuration is available in all commercial and AWS GovCloud (US) Regions.

SageMaker Data Wrangler now auto-generates feature-level visualizations

Today, we are excited to announce the release of automatically generated feature-level visualizations in Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. Data Wrangler offers a variety of configurable visualization options from general data visualizations such as histogram, scatter plot or table summary to advanced visualizations such as anomaly detection or seasonable-trend decomposition for time series data, data leakage and feature bias for machine learning needs.

Amazon Kendra now available in Asia-Pacific (Mumbai) AWS region

Starting today, AWS customers can use Amazon Kendra to build intelligent search applications in the Asia Pacific (Mumbai) AWS Region.

Bring ML models built anywhere into Amazon SageMaker Canvas and generate predictions

You can now bring machine learning (ML) models built anywhere into Amazon SageMaker Canvas and generate predictions, to address a wide range of business problems. SageMaker Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own — without requiring any ML experience or having to write a single line of code.

Amazon Neptune now supports “Concise Bounded Description” queries for SPARQL query language

Amazon Neptune version 1.2.0.2 now supports the W3C RDF CBD (Concise Bounded Description) for the SPARQL query language. The Concise Bounded Description of an RDF resource (that is, a node in an RDF graph) is the smallest subgraph of leaf nodes that are not blank (anonymous resource, a node with no URI). A CBD query starts from a node, then recursively traverses the graph beyond blank nodes until it finds a node with an identifier.

Amazon ECS Service Connect now available in the AWS China (Beijing) and AWS China (Ningxia) Regions

Amazon Elastic Container Services (Amazon ECS) launches a new networking capability called Service Connect in the AWS China (Beijing) and AWS China (Ningxia) Regions.

Contact Lens for Amazon Connect now provides conversational analytics in Africa (Cape Town) region

Contact Lens for Amazon Connect now provides conversational analytics in Africa (Cape Town) region. This launch adds to the list of regions that Contact Lens’ conversational analytics already supports: US East (Northern Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo).

Amazon Kinesis Video Streams announces edge recording and scheduled cloud streaming capabilities (preview)

Amazon Kinesis Video Streams now offers a simple, efficient and cost-effective way to connect to IP cameras on customer premises, locally record and store video from those cameras, and stream videos to the cloud on a customer defined schedule for long term storage, playback and analytical processing.

Amazon EMR on EKS now supports Nvidia RAPIDS Accelerator for Apache Spark

Amazon EMR on EKS now supports accelerated computing over graphics processing unit (GPU) instance types using Nvidia RAPIDS Accelerator for Apache Spark. The growing adoption of artificial intelligence (AI) and machine learning (ML) in analytics has increased the need for processing data quickly and cost efficiently with GPUs. Nvidia RAPIDS Accelerator for Apache Spark helps customers leverage the benefit of GPU performance while saving infrastructure costs. With this release, EMR on EKS customer can use the RAPIDS accelerator by simply specifying the Spark-RAPIDS release label when calling EMR on EKS API.

AWS Blogs

AWS Japan Blog (Japanese)

AWS News Blog

AWS Architecture Blog

AWS Cloud Financial Management

AWS Big Data Blog

AWS Compute Blog

Containers

AWS Database Blog

Front-End Web & Mobile

AWS for Industries

AWS Machine Learning Blog

AWS Media Blog

AWS Storage Blog

Open Source Project

AWS CLI

AWS CDK

Amplify for JavaScript

Amplify for iOS