Amazon Braket provides a fully managed and high-performance tensor network simulator (TN1). This tensor-network-based circuit simulator can support quantum computing simulations with up to 50 qubits, and is particularly powerful for sparse circuits, circuits with local gates, and other circuits with inherent structure.

Amazon Elastic Container Registry (Amazon ECR) now supports cross region replication of images in private repositories, enabling developers to easily copy container images across multiple AWS accounts and regions with a single push to a source repository. Storing images in-region to your infrastructure helps applications start up faster as image download time is reduced due to lower latency, and removes cross region downloads that helps with region isolation. Geographically dispersed images also helps you meet backup and disaster recovery requirements for your application. By creating a simple way to reliably replicate images across regions, Amazon ECR now makes it even easier to run highly available applications in AWS. 

Amazon CodeGuru Profiler now profiles your application’s memory, giving you a consolidated view of the heap. The heap summary shows all objects allocated on the heap during a given time frame. For each object (e.g. String, int, char[], custom types, etc.) you can see a summed-up size and number of objects. These metrics are also presented in a time series so you can see how the object size or count changes over time.  

Amazon Braket now supports PennyLane, an open source software framework for hybrid quantum computing. Pennylane provides interfaces to common machine learning libraries, including PyTorch and TensorFlow, so you can train quantum circuits in the same way you would train a neural network. The integration with Amazon Braket allows you to test and fine-tune algorithms faster and at a larger scale on scalable and fully managed simulators and run them on your choice of quantum computing hardware.

AWS Transit Gateway now supports the ability to establish peering connections between AWS Transit Gateways in Middle East (Bahrain), Africa (Cape Town), Asia Pacific (Hong Kong), and Europe(Milan) AWS Regions. AWS Transit Gateway is a service that enables customers to connect thousands of Amazon Virtual Private Clouds (Amazon VPCs) and their on-premises networks using a single gateway. With AWS Transit Gateway, customers only have to create and manage a single connection from a central regional gateway to each Amazon VPC, on-premises data center, or remote office across their networks.

We are excited to introduce three free digital courses to help you learn how to order, configure, deploy, manage, and return AWS Snowcone edge computing and storage devices. Designed for storage engineers, cloud architects, and migration engineers, these introductory and intermediate courses include reading modules, video demonstrations, and quizzes. The time required to complete each course ranges between 50 and 90 minutes.

AWS CloudTrail now provides more granular control of data event logging with advanced event selectors. Data events provide visibility into the data plane resource operations performed on or within a resource. You can currently log data events on two resource types: Amazon S3 object-level API activity (e.g. GetObject, DeleteObject, and PutObject API operations), and AWS Lambda function execution activity (the Invoke API). With advanced event selectors, you can include or exclude values on fields such as EventSource, EventName, and ResourceARN. Advanced event selectors also support including or excluding values with pattern matching on partial strings, similar to regular expressions, providing more control over which CloudTrail data events you want to log and pay for. For example, you can log S3 DeleteObject APIs to narrow the CloudTrail events you receive to only destructive actions, enabling you to identify security issues while controlling costs. If you detect unauthorized activity, you can also take immediate action to restrict access.

With the launch of the revision access rules, data providers can create products that give subscribers access to a subset of data set revisions based on their subscription start date. Starting today, subscribers are able to choose products that include only historical revisions published before their subscription start date, only future revisions published after their subscription start date, or future revisions with a certain number of past revisions from their subscription start date. Before revision access rules were available, subscribers would receive all of the available revisions of a data set, including those published before and after their subscription start date. With the launch of this feature, subscribers pay for and access the revisions that they actually need, while providers have the flexibility to price historical and future data appropriately without having to create and maintain multiple data sets. 

Today, Amazon Elastic Container Service (Amazon ECS) announced in preview, Amazon ECS deployment circuit breaker, for EC2 and Fargate launch types. With this feature, Amazon ECS customers can now automatically roll back unhealthy service deployments without the need for manual intervention. This empowers customers to quickly discover failed deployments, without worrying about resources being consumed for failing tasks, or indefinite deployment delays.

Today, we are excited to announce Python Support for Amazon CodeGuru Reviewer and Profiler to help you improve code quality and optimize performance for Python applications.