Today, we are announcing the new Amazon EC2 G5g instances powered by AWS Graviton2 processors and featuring NVIDIA T4G Tensor Core GPUs. G5g are the first Arm-based instances in a major cloud to feature GPU acceleration and provide the best price performance in Amazon EC2 for Android game streaming. With G5g instances, Android game developers can run natively on Arm-based GPU instances, encode the rendered graphics, and stream the game over network to a mobile device. This helps simplify development effort and lowers the cost per stream per hour by up to 30%. G5g instances are also ideal for machine learning developers who are looking for cost-effective inference, have ML models that are sensitive to CPU performance, and leverage NVIDIA’s AI libraries.

Metrics Insights is a new feature from Amazon CloudWatch that is in preview. As a fast, flexible, SQL based query engine, Metrics Insights enables developers, operators, systems engineers, and cloud solutions architects to identify trends and patterns across millions of operational metrics in real time and helps you use these insights to reduce time to resolution. With Metrics Insights, you can gain better visibility on your infrastructure and large scale application performance with flexible querying and on-the-fly metric aggregations. Use Metrics Insights and other CloudWatch features to monitor your AWS and hybrid environments, and to respond to operational problems promptly.

Amazon Braket Hybrid Jobs enables you to easily run hybrid quantum-classical algorithms such as the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA), that combine classical compute resources with quantum computing devices to optimize the performance of today’s quantum systems. With this new feature, you only have to provide your algorithm script and choose a target device — a quantum processing unit (QPU) or quantum circuit simulator. Amazon Braket Hybrid Jobs is designed to spin up the requested classical resources when your target quantum device is available, run your algorithm, and release the instances after completion so you only pay for what you use. Braket Hybrid Jobs can provide live insights into algorithm metrics to monitor your algorithm as it progresses, enabling you to make adjustments more quickly. Most importantly, your jobs have priority access to the selected QPU for the duration of your experiment, putting you in control, and helping to provide faster and more predictable execution.

Amazon Elastic Container Registry (Amazon ECR) now supports pull through cache repositories, a new feature designed to automatically sync images from publicly accessible registries. With today’s release, customers now benefit from the download performance, security, and availability of Amazon ECR for the public images.

Today, AWS IoT Greengrass announced a new integration with AWS Systems Manager that helps IT and edge device administrators to securely manage their edge devices, such as industrial equipment and industrial PCs, alongside their IT assets, such as EC2 instances, AWS Outposts, and on-premises servers. 

Amazon CloudWatch Evidently is a new capability which helps application developers safely validate new features across the full application stack. Developers can use Evidently to conduct experiments on new application features and identify unintended consequences, thereby reducing risk. When launching new features, developers can expose the features to a subset of users, monitor key metrics such as page load times and conversions, then safely dial up traffic for general use. Amazon CloudWatch Evidently is part of CloudWatch’s Digital Experience Monitoring capabilities along with Amazon CloudWatch Synthetics and Amazon CloudWatch RUM.

Ready to fast-track application refactoring? AWS Migration Hub Refactor Spaces is the new starting point for incremental app refactor that makes it easy to manage the refactor process while operating in production. Using Refactor Spaces, customers focus on the refactor of their applications, and not the creation and management of the underlying infrastructure that makes refactoring possible. This new Migration Hub feature reduces the business risk of evolving applications into microservices or extending existing applications with new features written in microservices. Refactor Spaces orchestrates AWS services across multiple accounts to create a refactor environment for incrementally evolving an application that helps customers realize value earlier.

AWS Compute Optimizer now offers enhanced infrastructure metrics, a paid feature that when activated, enhances your Amazon EC2 instance and Auto Scaling group recommendations by capturing monthly or quarterly utilization patterns. Compute Optimizer does this by ingesting and analyzing up to six times more Amazon CloudWatch utilization metrics history than the default Compute Optimizer option (up to 3 months of history vs. 14 days). You can activate the feature at the organization, account, or resource level via the Compute Optimizer console or API for all existing and newly created EC2 instances and Auto Scaling groups.

AWS Compute Optimizer now helps you quickly identify and prioritize top optimization opportunities through two new sets of dashboard-level metrics: savings opportunity and performance improvement opportunity.

Today, we announce AI for data analytics (AIDA), a set of AWS Partners solutions that embed predictive analytics into mainstream analytics workspaces. AIDA partners solutions make it easy for business experts to use artificial intelligence (AI) and machine learning (ML) to derive better insights from data and take action. AIDA features solutions from the following AWS Partners: Amplitude, Anaplan, Causality Link, Domo, Exasol, Interworks, Pegasystems, Provectus, Qlik, Snowflake, Tableau, TIBCO, and Workato.