Amazon Elastic Kubernetes Service (EKS) customers can now run production workloads using Arm-based instances including the recently launched Amazon EC2 M6g, C6g, and R6g instances powered by AWS Graviton2 processors.  

Amazon Elastic Kubernetes Service (EKS) now supports using launch templates to customize EC2 instance settings for nodes managed by EKS. When combined, managed node groups with launch templates make it simple to add and update nodes in your cluster, while adhering to any level of specialized security or compliance requirements.

AWS Certificate Manager (ACM) Private Certificate Authority (CA) now supports sharing a Private CA with any AWS account or within your organization. Customers manage a Private CA in a central account and use AWS Resource Access Manager (RAM) to share the CA with other accounts or organizations where SSL/TLS certificates will be issued. This eliminates the need to provision duplicate resources in every account in a multi-account environment, reducing the cost and complexity of managing those resources in every account.

Today, we are announcing the release of Amplify iOS 1.1. This new release adds built-in support for Combine, a framework by Apple which makes it much easier for Swift developers to make asynchronous API calls. Amplify iOS is part of the open source Amplify Framework and makes it easy for developers to build iOS apps with AWS-powered functionality, such as Auth, Data, Storage, and Analytics.

Amazon Elastic Kubernetes Service (EKS) pods running on AWS Fargate can now mount Amazon Elastic File System (EFS) file systems. AWS Fargate will use the EFS CSI driver to automatically mount an EFS file system requested by a pod running on Fargate, without the need for manual driver installation. This enables persistent, regional, shared storage to be used by pods running on AWS Fargate, the serverless compute engine which allows customers to deploy and manage containerized applications without having to manage any of the underlying infrastructure.

Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of machine learning predictions such as predictions from Amazon Rekognition, Amazon Textract, Amazon Translate, Amazon Comprehend, or Amazon SageMaker. You now have the capability to delete HumanTaskUI using Amazon A2I. A HumanTaskUI resource defines the HTML template used to render the worker UI and tools for human review tasks. You can start using this feature by visiting the Worker task templates section on the Amazon A2I console, choose the worker template you would like to delete and click on the delete button. You can also use DeleteHumanTaskUI API to delete the task UI resources. After you delete a task UI, the task UI no longer appears on the Worker task templates section on the Amazon Augmented AI console. After deleting, if you use the task UI name as input to the API operations DescribeHumanTaskUi or DeleteHumanTaskUi , Amazon A2I will return a ResourceNotFound error. Any existing human loops will not be impacted, but you will no longer be able to start new human loops for deleted human task UI. To delete human loops or Flow definition, read more here .   

Customers can now get deeper insight into how Amazon API Gateway processes requests thanks to new access logging variables. These new access logging variables allow customers to see a step-by-step breakdown of an API call’s phases, latencies, and status codes. 

AWS Launch Wizard now allows customers to more easily deploy SAP workloads in four new AWS regions: Asia Pacific (Hong Kong), Middle East (Bahrain), Africa (Cape Town) and Europe (Milan). With this release, customers can now deploy SAP using Launch Wizard in 20 regions including US East (N. Virginia, Ohio), EU (Frankfurt, Ireland, London, Paris, Stockholm and Milan), South America (Sao Paulo), US West (N. California, Oregon), Canada (Central), Asia Pacific (Mumbai, Seoul, Tokyo, Hong Kong, Singapore, Sydney), Middle East (Bahrain), and Africa (Cape Town). AWS Launch Wizard is also available in AWS GovCloud (US), AWS Regions designed to host sensitive data and regulated workloads in the cloud for customers who have U.S. federal, state, and local government compliance requirements. 

You can now control whether contact center agents hear early media audio, such as busy signals, failure to connect errors, or other informational messages when making outbound calls. Previously Amazon Connect played standard ring back sounds during the call connection for agents even when phone companies could not complete calls and potential retries were attempted. Now, with a simple click in the AWS console, you can enable early media audio in Amazon Connect, and your agents can hear if the state of a dialed number is invalid, has been changed or disconnected, is busy, or another issue prevented completing the call. For example, agents can now terminate a call attempt more quickly based on a busy signal or update their records for contacts that changed or disconnected their phone number. 

Starting today, new Amazon Elastic Compute Cloud (Amazon EC2) C5ad instances featuring 2nd generation AMD EPYC™ processors running at frequencies up to 3.3 GHz are generally available. Amazon EC2 C5ad instances are variants of the recently launched C5a instances and are equipped with local NVMe-based SSD block level storage physically connected to the host server. C5ad instances provide high performance processing at 10% lower cost over comparable instances. These instances are ideal for applications that need temporary storage of data, such as batch and log processing and applications that need caches and scratch files. These instances are also a great fit for applications that need access to high-speed, low latency local storage, such as video encoding, image manipulation and other forms of media processing. With the option of NVMe-based SSD instance storage, C5a customers now have additional storage choices for their most compute-intensive workloads.