AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software. Our version 2.4 release includes two new sets of features that simplify the provisioning of large fleets of IoT devices and allow fine-grained control of IoT device system resources from the cloud:

AWS Database Migration Service (AWS DMS) expands functionality by adding support for Redis, Amazon ElastiCache for Redis, and Amazon MemoryDB for Redis as targets. Redis is a fast, open-source, in-memory key-value data store for use as a cache, database, message broker, and queue. Amazon ElastiCache for Redis is a fully managed caching service that combines the speed, simplicity, and versatility of open-source Redis with manageability, security, and scalability from Amazon to power the most demanding real-time applications. Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database service that delivers ultra-fast performance for modern, microservices applications. Using AWS DMS, you can now migrate data live from any AWS DMS supported sources to Redis data stores with minimal downtime.

AWS Database Migration Service (AWS DMS) expands its functionality by supporting parallel threads when using Redshift as a target during full load. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. By taking advantage of the multithreaded full load task settings, you can improve the performance of your initial migration from any DMS supported sources to Amazon Redshift.

AWS Database Migration Service (AWS DMS) expands functionality by adding support for MongoDB 4.2 and 4.4 as a source. Using AWS DMS, you can now migrate data live from MongoDB 4.2 and 4.4 clusters to any AWS DMS supported targets including Amazon DocumentDB (with MongoDB compatibility) with minimal downtime.

Starting today, Amazon EC2 M6i instances are available in additional AWS Regions US West (N. California) and Asia Pacific (Tokyo). Designed to provide a balance of compute, memory, storage and network resources, M6i instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances. These instances are SAP-Certified and are ideal for workloads such as web and application servers, back-end servers supporting enterprise applications (e.g. Microsoft Exchange Server and SharePoint Server, SAP Business Suite, MySQL, Microsoft SQL Server, and PostgreSQL databases), gaming servers, caching fleets, as well as for application development environments.

Starting today, customers will be able to automatically deprecate their Amazon Machine Images (AMIs) with Amazon Data Lifecycle Manager (Amazon DLM). Deprecating an AMI prevents outdated images from being accessed by new users after a specific time, helping to ensure that any new EC2 Instances are launched from only the most up-to-date AMIs. With Amazon DLM, customers can automate when to deprecate their AMIs, removing the need for complicated custom scripts.

AWS Database Migration Service (AWS DMS) expands functionality by supporting automatic segmentation using MongoDB and Amazon DocumentDB (with MongoDB compatibility) as a source. Using AWS DMS, you can configure DMS tasks to segment the collection of a MongoDB cluster automatically and migrate them in parallel to any AWS DMS supported target  including Amazon DocumentDB (with MongoDB compatibility) with minimal downtime.

The Competition and Markets Authority (CMA) in its Phase One review of the proposed merger of Nvidia and Arm is obviously correct in its finding that a merger would result in a Substantial Lessing of Competition – the criterion by which it is decided whether it should go forward for a Phase Two 2 review. …

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Redwire, the Jacksonville, Florida-based space infrastructure company, has unveiled its Hyperion Operational Space Simulation Laboratory (HOSS), which it describes as “a first-of-its-kind digital engineering environment”. Announcing “initial operational capability” for the state-of-the-art facility, the company says it is designed to address next-generation space architectures and solutions, via artificial intelligence, machine learning and cyber technologies. It …

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An experiment at Lawrence Livermore National Laboratory’s (LLNL’s) National Ignition Facility(NIF) made a significant step toward ignition, achieving a yield of more than 1.3 megajoules (MJ). This advancement puts researchers at the threshold of fusion ignition, an important goal of the NIF, and opens access to a new experimental regime. The experiment was enabled by …

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