Amazon Web Service SDK v3.168.1 Release NotesRelease Date: 2020-12-09 // 3 months ago
Aws\EC2- This release adds support for G4ad instances powered by AMD Radeon Pro V520 GPUs and AMD 2nd Generation EPYC processors
Aws\GlobalAccelerator- This release adds support for custom routing accelerators
Aws\Redshift- Add support for availability zone relocation feature.
Previous changes from v3.168.0
Aws\AuditManager- AWS Audit Manager helps you continuously audit your AWS usage to simplify how you manage risk and compliance. This update releases the first version of the AWS Audit Manager APIs and SDK.
Aws\ECR- This release adds support for configuring cross-region and cross-account replication of your Amazon ECR images.
Aws\EMRContainers- This release adds support for Amazon EMR on EKS, a simple way to run Spark on Kubernetes.
Aws\ForecastService- This release adds support for the Amazon Forecast Weather Index which can increase forecasting accuracy by automatically including weather forecasts in demand forecasts.
Aws\HealthLake- This release introduces Amazon HealthLake (preview), a HIPAA-eligible service that enables healthcare and life sciences customers to store, transform, query, and analyze health data in the AWS Cloud.
Aws\QuickSight- Added new parameters for join optimization.
Aws\Rds- Added optional configurable lifetime value to Rds AuthTokenGenerator
Aws\SageMaker- This feature helps you monitor model performance characteristics such as accuracy, identify undesired bias in your ML models, and explain model decisions better with explainability drift detection.
Aws\SageMakerRuntime- This feature allows customers to invoke their endpoint with an inference ID. If used and data capture for the endpoint is enabled, this ID will be captured along with request data.
Aws\SagemakerEdgeManager- Amazon SageMaker Edge Manager makes it easy to optimize, secure, monitor, and maintain machine learning (ML) models across fleets of edge devices such as smart cameras, smart speakers, and robots.
Aws\kendra- 1. Amazon Kendra connector for Google Drive repositories 2. Amazon Kendra's relevance ranking models are regularly tuned for each customer by capturing end-user search patterns and feedback.