Run large-scale simulations with AWS Batch multi-container jobs

Industries like automotive, robotics, and finance are increasingly implementing computational workloads like simulations, machine learning (ML) model training, and big data analytics to improve their products. For example, automakers rely on simulations to test autonomous driving features, robotics companies train ML algorithms to enhance robot perception capabilities, and financial firms run in-depth analyses to better manage risk, process transactions, and detect fraud. Some of these workloads, including simulations, are especially complicated to run due to their diversity of components and intensive computational requirements. A driving simulation, for instance, involves generating 3D virtual environments, vehicle sensor data, vehicle dynamics controlling car behavior, and more. A robotics simulation might test hundreds of autonomous delivery robots interacting with each other and other systems…

AWS Weekly Roundup — New models for Amazon Bedrock, CloudFront embedded POPs, and more — March 4, 2024

This has been a busy week – we introduced a new kind of Amazon CloudFront infrastructure, more efficient ways to analyze data stored on Amazon Simple Storage Service (Amazon S3), and new generative AI capabilities. Last week’s launches Here’s what got my attention: Amazon Bedrock – Mistral AI’s Mixtral 8x7B and Mistral 7B foundation models are now generally available on Amazon Bedrock. More details in Donnie’s post. Here’s a deep dive into Mistral 7B and Mixtral 8x7B models, by my colleague Mike. Knowledge Bases for Amazon Bedrock – With hybrid search support, you can improve the relevance of retrieved results, especially for keyword searches. More information and examples in this post on the AWS Machine Learning Blog. Amazon CloudFront –…

DNS over HTTPS is now available in Amazon Route 53 Resolver

Starting today, Amazon Route 53 Resolver supports using the DNS over HTTPS (DoH) protocol for both inbound and outbound Resolver endpoints. As the name suggests, DoH supports HTTP or HTTP/2 over TLS to encrypt the data exchanged for Domain Name System (DNS) resolutions. Using TLS encryption, DoH increases privacy and security by preventing eavesdropping and manipulation of DNS data as it is exchanged between a DoH client and the DoH-based DNS resolver. This helps you implement a zero-trust architecture where no actor, system, network, or service operating outside or within your security perimeter is trusted and all network traffic is encrypted. Using DoH also helps follow recommendations such as those described in this memorandum of the US Office of Management…

Upgrade your Java applications with Amazon Q Code Transformation (preview)

As our applications age, it takes more and more effort just to keep them secure and running smoothly. Developers managing the upgrades must spend time relearning the intricacies and nuances of breaking changes and performance optimizations others have already discovered in past upgrades. As a result, it’s difficult to balance the focus between new features and essential maintenance work. Today, we are introducing in preview Amazon Q Code Transformation. This new capability simplifies upgrading and modernizing existing application code using Amazon Q, a new type of assistant powered by generative artificial intelligence (AI). Amazon Q is specifically designed for work and can be tailored to your business. Amazon Q Code Transformation can perform Java application upgrades now, from version 8…