10/5/2022, 12:00:00 AM ~ 10/6/2022, 12:00:00 AM (UTC)
Recent Announcements
AWS Identity and Access Management (IAM) Access Analyzer policy generation has expanded support to identify actions used from over 140 services to help developers create fine-grained policies based on their AWS CloudTrail access activity. New additions include actions from services such as AWS CloudFormation, Amazon DynamoDB, and Amazon Simple Queue Service. When developers request a policy, IAM Access Analyzer gets to work and generates a policy by analyzing their AWS CloudTrail logs to identify actions used. For example, developers using AWS CloudFormation to set up resources need to provide CloudFormation permissions to create resources. They can use policy generation to create a fine-grained policy and limit CloudFormation role’s permissions to only those necessary to deploy a given template. The generated policy makes it easier for developers to grant only the required permissions to run their workloads.
Amazon Translate now adds formality customization support for Dutch, Korean, and Mexican Spanish
Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today, we are adding formality customization support for Dutch, Korean, and Mexican Spanish. We are also adding support for asynchronous batch translation. Now you can customize the formality of your translated output to suit your communication needs.
Announcing the general availability of AWS Local Zones in Delhi and Taipei
AWS Local Zones are now available in Delhi and Taipei. You can now use these AWS Local Zones to deliver applications that require single-digit millisecond latency or local data processing.
Amazon WorkMail now supports Impersonation Roles
Amazon WorkMail now offers Impersonation Roles, a secure way to more easily grant programmatic access to mailboxes. Customers can use Impersonation Roles with Exchange Web Services (EWS) to perform impersonated actions in other users’ mailboxes. Administrators have the ability to limit the scope of Impersonation Roles to specific users, including choosing whether actions have full or read-only access.
AWS Budgets now supports filtering by Invoicing Entity and Legal Entity
Starting today, you can now budget by two new dimensions, invoicing entity and legal entity, in AWS Budgets. This additional granularity allows you to setup specific budget thresholds according to your invoice issuer using invoicing entity or AWS Marketplace seller using legal entity. Once you’ve saved your budget, you can then receive alerts when your actual costs exceed (or are forecasted to exceed) your budget thresholds. AWS Budgets is generally available in all public AWS Regions.
Amazon Redshift Serverless now supports resource tagging
Amazon Redshift Serverless now supports tagging of resources such as namespace and workgroup. Tagging allows you to assign a key-value pair to your resources and organize them by business departments, billing groups, and production environments.
Amazon SageMaker Clarify now can provide near real-time explanations for ML predictions
We’re excited to announce that Amazon SageMaker Clarify supports online explainability by providing explanations for machine learning (ML) model’s individual predictions in near real-time on live endpoints. SageMaker Clarify gives ML developers greater visibility into their training data and models so they can identify potential bias and explain predictions. ML models may consider some feature inputs more strongly than others when generating predictions. SageMaker Clarify provides scores detailing which features contributed the most to your model’s individual prediction after the model has been run on new data. These details can help determine if a particular input features has more influence on the model predictions than expected. You can view these details for each prediction in real-time via online explainability or get a report in bulk that utilize batch processing of all the individual predictions. This new feature reduces latency for explanations from minutes to seconds or less. The possibilities for real-time explanations are broad. For example, customer service representatives can better understand the reasons why a customer may churn when they call for help resolving a problem in real time. As the representative learns more about the nature of the customer’s issue and enters that data, real-time explanations can provide updated reasoning for suggested resolutions.
Amazon Aurora Serverless v2 now supports AWS CloudFormation
Amazon Aurora Serverless v2, the next version of Aurora Serverless, now supports AWS CloudFormation. You can use AWS CloudFormation templates to deploy and modify Aurora Serverless v2 along with the rest of your AWS infrastructure in a secure, efficient, and repeatable manner. To learn more, read the AWS CloudFormation user guide.
As of November 23, 2021, Amazon Simple Queue Service (SQS) supported Server-Side Encryption with Amazon SQS-managed encryption keys (SSE-SQS) to protect sensitive data. Today, Amazon SQS announces SSE-SQS encryption by default for newly created queues. SSE-SQS can help you build security-sensitive applications to support your encryption compliance and regulatory requirements.
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- Migrate Oracle’s XMLDOM package functions to Amazon Aurora PostgreSQL using JSON format
- Use a self-hosted Active Directory with Amazon RDS Custom for SQL Server
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AWS for Industries
AWS Machine Learning Blog
- Prevent account takeover at login with the new Account Takeover Insights model in Amazon Fraud Detector
- Metrics for evaluating content moderation in Amazon Rekognition and other content moderation services
- Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games
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- @aws-amplify/ui-vue@2.4.23
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