7/15/2022, 12:00:00 AM ~ 7/18/2022, 12:00:00 AM (UTC)

Recent Announcements

Amazon SageMaker adds ml.g5, ml.p4d, and ml.c6i instances for model deployment

Amazon SageMaker expands access to new ML instances so customers can deploy models on the best instance for their workloads. Now, customers can use ml.g5, ml.p4d, and ml.c6i instances for Asynchronous and Real-time model deployment options.

AWS Lambda Powertools for TypeScript is now generally available

We are excited to announce the general availability of AWS Lambda Powertools for TypeScript, an open-source developer library to help you incorporate Well-Architected Serverless best practices into your Lambda function code as early and as fast as possible.

Amazon Aurora PostgreSQL-compatible edition now supports R6i instances

Amazon Aurora now supports R6i instances powered by 3rd generation Intel Xeon Scalable processors. R6i instances are the 6th generation of Amazon EC2 memory optimized instances, designed for memory-intensive workloads. These instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances. R6i instances are currently available when using Amazon Aurora PostgreSQL-Compatible Edition.

Amazon SageMaker Automatic Model Tuning now supports increased limits to improve the accuracy of your models

Amazon SageMaker Automatic Model Tuning enables you to find the most accurate version of a machine learning (ML) model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning now supports increased limits for two service quotas, with up to 50% higher number of total training jobs that can be run per tuning job and maximum number of hyperparameters that can be searched per tuning job.

Amazon Route 53 Resolver DNS Firewall now available in the Asia Pacific (Jakarta) Region

Starting today, you can use Amazon Route 53 Resolver DNS Firewall in the Asia Pacific (Jakarta) Region.

Amazon Connect Customer Profiles now enables you to integrate unified customer information into your custom agent applications

Amazon Connect Customer Profiles now provides a JavaScript library (CustomerProfilesJS) to integrate Customer Profiles into your homegrown or third-party agent application, equipping your contact center agents with the customer information they need to provide more personalized customer service. Amazon Connect Customer Profiles makes it easier for you to provide agents with quick access to unified customer data by combining contact history from Amazon Connect with data from disparate third-party applications (e.g., CRMs) and homegrown systems, leveraging machine learning based identity resolution to create a single, unified profile for each of your customers.

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