We are announcing Provisioned Concurrency, a feature that provides customers greater control over performance of their serverless applications at any scale. Functions using Provisioned Concurrency execute with consistent start-up latency making them ideal for building interactive mobile or web backends, latency sensitive microservices, and synchronously invoked APIs.

AWS Security Hub now integrates with AWS Identity and Access Management (IAM) Access Analyzer. IAM Access Analyzer is an IAM feature that that makes it simple for security teams and administrators to check that their policies provide only the intended access to resources. The IAM Access Analyzer integration with Security Hub will send findings to Security Hub when policies allow public or cross-account access to resources. Security Hub will automatically enable this integration if you are already using IAM Access Analyzer, and you will begin receiving findings from IAM Access Analyzer without any action needed on your end. To learn more, visit the Integration page in the Security Hub console and click on the “Configuration” link for IAM Access Analyzer.

Amazon SageMaker Autopilot is now Generally Available. With this feature, Amazon SageMaker can use your tabular data and the target column you specify to automatically train and tune your model, while providing full visibility into the process. As the name suggests, you can use it on autopilot, deploying the model with the highest accuracy with one click in Amazon SageMaker Studio, or use it as a guide to decision making, enabling you to make tradeoffs, such as accuracy with latency or model size. 

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.

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.

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.

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.

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.

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.  

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.