7/29/2022, 12:00:00 AM ~ 8/1/2022, 12:00:00 AM (UTC)
Recent Announcements
Amazon Nimble Studio now supports EC2 G3 and G5 instances for virtual workstations
Amazon Nimble Studio adds support for on-demand Amazon Elastic Compute Cloud (EC2) G3 and G5 instances, allowing customers to utilize additional GPU instance types for their creative projects. Artists depend on a mix of CPUs, RAM, and GPUs for their their creative needs. You can now access additional instance types such as the EC2 G3 and G5 instances (EC2 G5 instances utilize the NVIDIA A10G Tensor Core GPU), providing Nimble Studio customers greater flexibility to use the right resources for the project.
Amazon Lookout for Vision now provides anomaly localization and CPU inference on the edge
Amazon Lookout for Vision now provides anomaly localization through semantic segmentation. You can use Lookout for Vision’s segmentation models to identify the locations on an image where different types of anomalies (such as a scratch, dent, or tear) are present, the label of the anomaly and the size of the anomaly, which you can then use to make decisions such as classify, grade, bin product and ship, rework, or scrap the part. You can deploy the trained semantic segmentation models for inference in the AWS Cloud via the AWS SDK or CLI. You can also deploy them to an edge hardware device of your choice and run inference locally on the device.
AWS Network Firewall supports AWS Managed Threat Signatures to detect threats and block attacks against known vulnerabilities so you can stay up to date on the latest security threats without writing and maintaining your own rules. Starting today, you can enable AWS managed rules to protect against coin mining malware, credential phishing, and malware for mobile operating systems (OS).
AWS Console Mobile Application adds support for recently visited services feature
AWS Console Mobile Application users can now easily view and access their recently visited AWS services that are supported in the mobile application for iOS and Android. A user’s recently visited AWS services are synchronized between their mobile and web experiences. The recently visited services feature is available at the bottom of the Dashboard screen which presents users with a swipeable list of their ten most recently visited AWS services. Users can tap on any AWS service shown in the list to be taken to that AWS service’s details screen in the mobile app.
AWS Cloud Map is available in two new AWS Regions
AWS Cloud Map is now available in Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions. AWS Cloud Map is a cloud resource discovery service. With AWS Cloud Map, you can define custom names for your application resources, such as Amazon Elastic Container Services (Amazon ECS) tasks, Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon DynamoDB tables, or other cloud resource. You can then use these custom names to discover the location and metadata of cloud resources from your applications using AWS SDK and authenticated API queries.
AWS Lambda support for AWS X-Ray now available in AWS GovCloud (US) Regions
AWS Lambda support for AWS X-Ray is now available in the AWS GovCloud (US) Regions. With AWS Lambda support for AWS X-Ray, you can easily enable X-Ray tracing for your functions.
AWS Control Tower adopts AWS CloudTrail Organization logging
AWS Control Tower now includes AWS CloudTrail organization logging as part of landing zone version 3.0. With this new feature, an organization-level AWS CloudTrail trail will be deployed in your organization’s management account to automatically log the actions of all member accounts in your organizations. AWS Control Tower does not configure any parameters for logging other than a mandatory detective guardrail that checks logging is configured for all AWS Control Tower governed accounts. AWS Control Tower with organization logging offers users the latest standard and best practice for unified account logging.
AWS Systems Manager announces a simplified onboarding experience for Application Manager
Application Manager, a capability of AWS Systems Manager, announces today a simplified onboarding experience for customers. Application Manager is a central hub on AWS to create, view and operate applications from a single console. With Application Manager, customers can discover and manage their resources across multiple AWS services like AWS CloudFormation, AWS Launch Wizard, AWS Service Catalog App Registry, AWS Resource Groups, Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon Elastic Container Service (Amazon ECS). Using this feature, IT professionals can now follow a guided low-touch process to setup the Application Manager dashboards.
AWS Control Tower has updated its Region deny guardrail to include additional AWS global service APIs to assist in retrieving configuration settings, dashboard information, and support for an interactive chat agent. The Region deny guardrail, ‘Deny access to AWS based on the requested AWS Region’, assists you in limiting access to AWS services and operations for enrolled accounts in your AWS Control Tower environment. The AWS Control Tower Region deny guardrail helps ensure that any customer data you upload to AWS services is located only in the AWS Regions that you specify. You can select the AWS Region or Regions in which your customer data is stored and processed.
AWS Blogs
AWS Japan Blog (Japanese)
AWS Startups Blog
AWS Architecture Blog
AWS Cloud Financial Management
AWS Big Data Blog
AWS Database Blog
- Migrate an on-premises SQL Server standalone workload to Amazon RDS Custom for SQL Server using domain-independent, Always On availability groups
- Fine Grained Access Control for Amazon Neptune data plane actions
AWS for Industries
The Internet of Things on AWS – Official Blog
AWS Machine Learning Blog
- Add conversational AI to any contact center with Amazon Lex and the Amazon Chime SDK
- Identify the location of anomalies using Amazon Lookout for Vision at the edge without using a GPU
- Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script
- Team and user management with Amazon SageMaker and AWS SSO
- Build and train ML models using a data mesh architecture on AWS: Part 2
- Build and train ML models using a data mesh architecture on AWS: Part 1