Amazon SageMaker Studio is an integrated development environment (IDE) for machine learning (ML) that lets you easily build, train, debug, deploy and monitor your machine learning models.
Introducing Amazon Braket, a service for exploring and evaluating quantum computing
Amazon Braket is a fully managed service that makes it easy for scientists, researchers, and developers to build, test, and run quantum computing algorithms. Amazon Braket helps you get started learning about quantum computing by providing a development environment to build quantum algorithms, test them on simulated quantum computers, and run them on your choice of different quantum hardware technologies.
Introducing Access Analyzer for Amazon S3 to review access policies
Access Analyzer for S3 is a new feature that monitors your access policies, ensuring that the policies provide only the intended access to your S3 resources. Access Analyzer for S3 evaluates your bucket access policies and enables you to discover and swiftly remediate buckets with potentially unintended access.
Introducing AWS Identity and Access Management (IAM) Access Analyzer
AWS Identity and Access Management (IAM) Access Analyzer is a new feature that makes it simple for security teams and administrators to check that their policies provide only the intended access to resources. Resource policies allow customers to granularly control who is able to access a specific resource and how they are able to use it across the entire cloud environment. With one click in the IAM console , customers can enable IAM Access Analyzer across their account to continuously analyze permissions granted using policies associated with their Amazon S3 buckets, AWS KMS keys, Amazon SQS queues, AWS IAM roles, and AWS Lambda functions.
Introducing Amazon SageMaker Operators for Kubernetes
Amazon SageMaker Operators for Kubernetes make it easier for developers and data scientists using Kubernetes to train, tune, and deploy machine learning (ML) models in Amazon SageMaker.
Introducing AWS DeepComposer
Developers, press play on machine learning. We are excited to announce the preview of AWS DeepComposer, the world’s first machine learning-enabled keyboard for developers. Get hands-on, literally, with a musical keyboard and the latest machine learning techniques to compose your own music.
AWS DeepRacer expands: more ways to participate, more things to learn, and more ways to win!
Starting today, developers can take on their next machine learning challenge using AWS DeepRacer with the launch of multi-car racing and object avoidance capabilities in the AWS DeepRacer console. Customers can now build models for object avoidance and dual-car head-to-head races by experimenting with multiple sensor inputs and the latest reinforcement learning algorithms and neural network configurations. Developers can build reinforcement learning models ready to deploy to AWS DeepRacer Evo in the 2020 season of the AWS DeepRacer League.
Introducing EC2 Image Builder
Amazon Web Services (AWS) announces the availability of EC2 Image Builder, a service that makes it easier and faster to build and maintain secure images. Image Builder simplifies the creation, patching, testing, distribution, and sharing of Linux or Windows Server images.
AWS License Manager now adds Dedicated Host management capabilities to simplify your ‘Bring your own license’ (BYOL) experience
AWS now provides a new BYOL experience for software licenses, such as Windows and SQL Server, that require a dedicated physical server. You can now enjoy the flexibility and cost effectiveness of using your own licenses on Amazon EC2 Dedicated Hosts, but with the simplicity, resiliency, and elasticity of AWS. You can specify your Dedicated Host management preferences, such as host allocation, host capacity utilization, and instance placement in AWS License Manager. Once set up, AWS takes care of these administrative tasks on your behalf, so that you can seamlessly launch virtual machines (instances) on Dedicated Hosts just like you would launch an EC2 instance with AWS provided licenses. License Manager also integrates with EC2 Image Builder to automate maintenance of installation media.
Introducing the Amazon EventBridge Schema Registry – Now In Preview
The Amazon EventBridge schema registry stores event structure – or schema – in a shared central location and maps those schemas to code for Java, Python, and Typescript so it’s easy to use events as objects in your code. Schemas from your event bus are automatically added to the registry when you turn on the schema discovery feature. You can connect to and interact with the schema registry from the AWS console, APIs, or through the SDK Toolkits for Jetbrains (Intellij, PyCharm, Webstorm, Rider) and VS Code.