the organisers of this year’s Design and Verification Conference & Exhibition Europe (DVCon Europe) have announced the deadline for abstracts for engineering papers and tutorials for this year’s event. Abstracts …

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US-based Master Electronics has added RF modules to its offering with the signing of French RF module specialist, Insight SIP. The distributor is based in Phoenix, Arizona but ships worldwide …

The post Master Electronics adds RF modules with Insight SiP signing appeared first on Electronics Weekly .

Today, we are announcing Terraform support for AWS Parallel Computing Service (PCS). Customers can now use Terraform to create and manage their PCS clusters.

PCS makes it easier to run and scale high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. PCS already supports managing your HPC environments through the AWS Management Console, AWS Command Line Interface (CLI), AWS CloudFormation, and AWS APIs. With this release, customers can now define and deploy their PCS infrastructure using the HashiCorp Terraform Infrastructure as Code (IaC) tool, and manage clusters through their existing Terraform workflows. This integration is enabled through the Terraform AWS Cloud Control Provider .

To get started with using Terraform with PCS, please refer to an example PCS implementation recipe , as well as the Terraform Provider documentation . To learn more about PCS overall, please refer to the service documentation .

Today, AWS announced upgrades to the Amazon Q Business Slack and Teams integrations. The upgrades include the ability to create multiple Amazon Q Business integrations within a Slack workspace or Teams organization, free text feedback support, improved response and source formatting, and the support for larger file attachments with user queries.

With the support for multiple integrations, customers can now deploy and test up to ten integrations at a time in their Slack workspace or Teams organization and maintain separate integrations for testing, production, and different user groups. With the ability to monitor feedback, customers can review their users’ satisfaction and collect valuable feedback to help improve their applications’ performance and accuracy.

With the improvements to response and source formatting and larger file attachments, users can enjoy a more seamless experience when accessing Amazon Q Business in the context of their conversations and when sharing Amazon Q Business’s responses through Slack and Teams messages.

These new features are available on the Amazon Q Business Slack and Teams integrations in all regions where Amazon Q Business is available.

To learn more, visit the Amazon Q Business product page or review the documentation for detailed setup instructions and feature descriptions.
 

AWS Database Migration Service (DMS) Schema Conversion is a fully managed feature of DMS that automatically assesses and converts database schemas to formats compatible with AWS target database services. Today, we are excited to announce that Schema Conversion now supports conversions from IBM Db2 for z/OS to Amazon Relational Database Service (RDS) for Db2 .

Using Schema Conversion, you can automatically convert database objects from your IBM Db2 for z/OS source to an Amazon RDS for Db2 target, including stored procedures, functions, views, and other database structures. This is especially valuable for mainframe migrations as it simplifies complex processes by resolving syntax differences and compatibility issues between environments. Schema Conversion also provides detailed assessment reports to help you plan and execute your migration effectively.

To learn more refer to using IBM Db2 z/OS as a source for AWS DMS Schema Conversion and using IBM Db2 for z/OS as a source for AWS DMS . For AWS DMS Schema Conversion regional availability, please refer to the AWS Region Table .
 

Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability.

Today, Amazon Keyspaces supports User Defined Types (UDTs) in Multi-Region. This enhancement allows you to use UDTs consistently across multiple AWS Regions, enabling global applications to maintain consistent data schemas. With Multi-Region UDT support, you can replicate UDT schemas automatically across Regions, maintain consistent data models across your global infrastructure, and scale your Cassandra-compatible applications across geographic boundaries. This feature builds upon the existing UDT capabilities in Amazon Keyspaces, maintaining the ability to use UDTs in primary keys and create nested data structures that match your real-world data hierarchies.

Multi-Region UDT support is now available in all commercial AWS Regions where Amazon Keyspaces is offered .

To learn more about implementing Multi-Region UDTs, visit the Amazon Keyspaces documentation .

Starting today, AWS Elemental MediaConnect will support NDI® (Network Device Interface) outputs from MediaConnect flows. NDI is a high-quality and low-latency video connectivity technology, widely used in live production applications and supported by more than 500 hardware products and 300 software applications.

At launch, the MediaConnect support for NDI allows you to take an incoming transport stream source encoded as AVC or HEVC up to 1080p at 60FPS and output it as NDI High Bandwidth to a VPC. NDI enabled flows can simultaneously output NDI as well as transport stream-based outputs. NDI outputs will use the field-proven SpeedHQ codec and allow you to configure the quality between 100% and 200%. With NDI outputs, the process of connecting on-premises sources such as cameras for use in live cloud production is simpler to deploy, more scalable, and cost-effective using a pay-as-you-go pricing model.

NDI support is available in all regions where MediaConnect is currently deployed. For more information and details on pricing, please refer to the NDI documentation and the MediaConnect pricing page .

Today, AWS announces the general availability of the scenarios capability of Amazon Q in QuickSight.

Amazon Q guides you through data analysis by uncovering hidden trends, making recommendations for your business, and intelligently suggesting next steps for deeper exploration—all in response to natural language interactions. Now anyone can explore past trends, forecast future scenarios, and model solutions without needing specialized skill, analyst support, or manual manipulation of data in spreadsheets. With its intuitive interface and step-by-step guidance, the scenarios capability of Amazon Q in QuickSight helps users perform complex data analysis up to 10x faster than spreadsheets. Whether you’re optimizing marketing budgets, streamlining supply chains, or analyzing investments, Amazon Q makes advanced data analysis accessible so you can make data-driven decisions across your organization. This capability is accessible from any Amazon QuickSight dashboard, so you can move seamlessly from visualizing data to asking what-if questions and comparing alternatives. Previous analyses can be easily modified, extended, and reused, helping you quickly adapt to changing business needs.

The scenarios capability is available to Amazon Q in QuickSight Pro users in the following AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Europe (Ireland).

To learn more, visit Amazon Q in QuickSight and explore the documentation . 

Amazon RDS for MySQL now supports MySQL Innovation Release 9.2 in the Amazon RDS Database Preview Environment , allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.2 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases.

MySQL 9.2 is the latest Innovation Release from the MySQL community. MySQL Innovation releases include bug fixes, security patches, as well as new features. MySQL Innovation releases are supported by the community until the next major & minor release, whereas MySQL Long Term Support (LTS) Releases, such as MySQL 8.0 and MySQL 8.4, are supported by the community for up to eight years. Please refer to the MySQL 9.2 release notes for more details about this release.

The Amazon RDS Database Preview Environment supports both Single-AZ and Multi-AZ deployments on the latest generation of instance classes. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the preview environment.

Amazon RDS Database Preview Environment database instances are priced the same as production RDS instances created in the US East (Ohio) Region .

Amazon OpenSearch Service introduces two new instances- OR2 and OM2, expanding the OpenSearch Optimized Instance family. The new generation OR2 instance delivers up to 26% higher indexing throughput compared to previous OR1 instances and 70% over R7g instances. The new OM2 instance delivers up to 15% higher indexing throughput compared to OR1 instances and 66% over M7g instances in internal benchmarks.

The new generation OpenSearch Optimized instances use the same architecture as the OR1 instances, leveraging best-in-class cloud technologies like Amazon S3, to provide high durability, and improved price-performance for higher indexing throughput better for indexing heavy workload. Each OpenSearch Optimized instance is provisioned with compute, local instance storage for caching, and remote Amazon S3-based managed storage. OR2 and OM2 offers pay-as-you-go pricing and reserved instances, with a simple hourly rate for the instance, local instance storage, as well as the managed storage provisioned. OR2 instances come in sizes ‘medium’ through ‘16xlarge’, and offer compute, memory, and storage flexibility. OM2 instances come in sizes ‘large’ through ‘16xlarge’ Please refer to the Amazon OpenSearch Service pricing page for pricing details.

OR2 instance family is now available on Amazon OpenSearch Service across 10 regions globally: US East (N. Virginia, Ohio), US West (Oregon), Europe (Ireland, Frankfurt, Stockholm, Spain), and Asia Pacific (Sydney, Tokyo, Mumbai).

OM2 instance family is now available on Amazon OpenSearch Service across 6 regions globally: US East (N. Virginia, Ohio), US West (Oregon) and Europe (London, Frankfurt, Stockholm).