Network Load Balancer (NLB) now supports version 1.3 of the Transport Layer Security (TLS) protocol, enabling you to optimize the performance of your backend application servers while helping to keep your workloads secure. TLS 1.3 on NLB works by offloading encryption and decryption of TLS traffic from your application servers to the load balancer, and provides encryption all the way to your targets. TLS 1.3 is optimized for performance and security by using one round trip (1-RTT) TLS handshakes and only supporting ciphers that provide perfect forward secrecy. As with other versions of TLS, NLB preserves the source IP of the clients to the back-end applications while terminating TLS on the load balancer.

You can now manage AWS Step Functions workflows in the AWS Batch console, where you can automate Batch jobs to help build long-running business-critical workflows that require machine learning, data analysis, or overnight batch processing.

AWS RoboMaker, a service that allows customers to simulate robotics applications at cloud scale, now supports GPU based simulation jobs for compute-intensive simulation workloads such as high fidelity simulation, vision processing, and machine learning (ML). Previously, AWS RoboMaker simulation jobs ran only on central processing unit (CPU) instances; now you can choose between a CPU based or GPU based simulation job.

AWS RoboMaker, a service that allows customers to simulate robotics applications at cloud scale, now supports expanded configuration for any robot and simulation software. Previously Robot Operating System (ROS) and Gazebo are the only supported robot and simulation software configuration in RoboMaker. This new feature enables customers to use and configure any robot and simulation software of their choice while running simulations in RoboMaker.

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface.

Starting today, Amazon MemoryDB for Redis is generally available in 11 additional AWS Regions: US East (Ohio), US West (N. California, Oregon), Canada (Central), Europe (London, Stockholm), and Asia Pacific (Hong Kong, Seoul, Singapore, Sydney, Tokyo).

Today, Amazon EC2 Auto Scaling announced the ability to describe Auto Scaling groups using tags. Tag-based filtering makes it easier for you to view and manage your Auto Scaling groups based on the tags that you are interested in. Each tag is a simple label consisting of a customer-defined key and an optional value.

Xi has reached that dangerous point in the life of dictators when they just don’t care any more about outside opinion. In the latest addition of its annual “Negative Market Access List,” issued by the National Development and Reform Commission and the Ministry of Commerce, and approved by the Central Committee of the CCP, legislation …

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Northrop Grumman has been awarded a contract by the U.S. Air Force to design a next-generation signals intelligence (SIGINT) sensor. It will be used for high-altitude intelligence, surveillance, and reconnaissance (ISR) platforms Under the Air Force’s Global High-altitude Open-system Sensor Technology (GHOST) programme, the company will deliver a design of a prototype sensor. This will …

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Siemens Digital’s  latest release of its Aprisa physical design software – Aprisa 21.R1 – is now available. Improvements include: • Average full-flow runtime reduction of 30% compared to the previous release, and up to 2X faster runtimes for larger, more challenging designs. • Enhancements to all major place-and-route engines, from placement optimization to clock tree …

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