10/25/2022, 12:00:00 AM ~ 10/26/2022, 12:00:00 AM (UTC)
Recent Announcements
Announcing two new HERE map styles for Amazon Location Service
Amazon Location Service adds two new map styles for the base map service from our data provider HERE Technologies. HERE Imagery provides high quality satellite imagery with global coverage and HERE Hybrid displays the road network, street names and city labels over the satellite imagery. Amazon Location Service now has a total of 11 map styles to support a wide range of use cases for interactive maps in applications.
Starting today, Amazon EC2 High Memory instances with 24TiB (u-24tb1.112xlarge) of memory are now available in Asia Pacific (Seoul) region and high Memory instances with 18TiB (u-18tb1.112xlarge) of memory are now available in US East (N. Virginia) and US West (Oregon) regions. These instances give customers greater flexibility for instance usage and procurement - customers can start using them with On Demand, Reserved Instance, and Savings Plan purchase options. With u-24tb1 and u-18tb1, customers have a choice of 24TiB and 18TiB of memory, respectively - both offering 448 vCPUs, 100Gbps network and 38Gbps EBS bandwidth.
Amazon SageMaker adds eight new Graviton-based instances for model deployment
Amazon SageMaker expands access to eight new Graviton2 and Graviton3-based machine learning (ML) instance families so that customers have more options for optimizing their cost and performance when deploying their ML models on SageMaker. Now, customers can use ml.c7g, ml.m6g, ml.m6gd, ml.c6g, ml.c6gd, ml.c6gn, ml.r6g, and ml.r6gd for Real-time and Asynchronous Inference model deployment options.
AWS DataSync adds support for self-signed certificates
AWS DataSync now supports the use of self-signed certificates when connecting to object storage locations via HTTPS. When configuring an object storage location, you can specify a self-signed X.509 (.pem) certificate that the DataSync agent will use to secure the TLS connection to your self-managed object storage server. With this launch, you can now configure DataSync to use secure HTTPS connections with self-managed object storage systems that do not provide certificates from a trusted Certificate Authority (CA).
Amazon Aurora MySQL 2.11 with R6i instance support is generally available
Aurora MySQL 2.11, compatible with MySQL 5.7, is now generally available. Aurora MySQL 2.11 includes security updates and also supports R6i instances powered by 3rd generation Xeon Scalable processors.
Today, we are enhancing the AWS Organizations console to enable you to centrally view and update the primary contact information for your AWS accounts. This follows the release of the Primary Contact Information API that enabled you to programmatically manage primary contact information for accounts in your organization. With this launch, you can now also use the console to easily perform this operation without logging into each account separately. We already launched API and Organizations console support for alternate contacts, and support for additional account settings will be available in future releases.
AWS Batch now supports Amazon Elastic Kubernetes Service (Amazon EKS)
Today, AWS Batch introduced support for Amazon Elastic Kubernetes Service (Amazon EKS), enabling customers to run their jobs on Amazon EKS clusters as Kubernetes pods. AWS Batch manages the scaling of Kubernetes nodes, placement of pods, and supports job execution using Amazon Compute Cloud (Amazon EC2) or Amazon EC2 Spot. Furthermore, Batch respects other workloads on these EKS clusters, and will not place jobs on non-Batch nodes.
AWS Resource Access Manager is now available in the Middle East (UAE) Region
You can now use AWS Resource Access Manager (AWS RAM) in the AWS Middle East (UAE) Region.
Amazon SageMaker Multi-Model Endpoint (MME) is fully managed capability of SageMaker Inference that allows customers to deploy thousands of models on a single endpoint and save costs by sharing instances on which the endpoints run across all the models. Until today, MME was only supported for machine learning (ML) models which run on CPU instances. Now, customers can use MME to deploy thousands of ML models on GPU based instances as well, and potentially save costs by 90%.
CDK For Kubernetes (CDK8s) announces general availability of CDK8s+ and manifest validation support
CDK For Kubernetes Plus (CDK8s+) is a multi-language class library for defining Kubernetes applications using high level intent based constructs. Customers defining Kubernetes application indicate that maintainability of Kubernetes manifests is challenging; CDK8s+ aims to lower the entry barrier and improve maintainability of Kubernetes manifests by offering a hand crafted construct for each core Kubernetes object, exposing a richer API with reduced complexity. With this launch, CDK8s+ is now generally available and stable for use. This means that the API will remain unchanged and fully supported (no breaking changes), at least until the next major version. CDK8s+ is vended as a separate library for each Kubernetes spec version, all those libraries are now generally available and stable to use.
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- Goldman Sachs, an established financial services firm, transforms its operations on AWS
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AWS Machine Learning Blog
- Run inference at scale for OpenFold, a PyTorch-based protein folding ML model, using Amazon EKS
- Configure DTMF slots and ordered retry prompts with Amazon Lex
- Run multiple deep learning models on GPU with Amazon SageMaker multi-model endpoints
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- 2022-10-25 Amplify JS release - aws-amplify@4.3.40
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