The UK’s CSA Catapult – the compound semiconductor technology transfer organisation – is calling for the creation of a national semiconductor super-cluster. “There are over 200 dedicated semiconductor companies in …

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Wireless mesh network module maker NeoCortec, is to offering licenses for its NeoMesh wireless mesh networking protocol and software stack. “Our primary focus remains the manufacturing and sale of our …

The post NeoCortec opens wireless mesh protocol and software stack to licensing appeared first on Electronics Weekly .

AWS Graviton4-based M8g and R8g database (DB) instances are now generally available for Amazon Relational Database Service (RDS) for PostgreSQL, MySQL, and MariaDB. Graviton4-based instances provide up to a 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon RDS open source databases, depending on database engine, version, and workload.

AWS Graviton4 processors are the latest generation of custom-designed AWS Graviton processors built on the AWS Nitro System. Both M8g and R8g DB instances are available with new 24xlarge and 48xlarge sizes. With these new sizes, M8g and R8g DB instances offer up to 192 vCPU, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

These instances are now available in the US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt) Regions. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page . For information on specific engine versions that support these DB instance types, please see the Amazon RDS documentation .
 

AWS Partner Assistant, a generative AI–powered virtual assistant built on Amazon Q Business, is now available for Partners in AWS Partner Central and the AWS Marketplace Management Portal. Partner Assistant makes it easier for you to get quick answers to common questions—helping you boost productivity and accelerate your AWS Partner journey to unlock benefits faster.

Partner Assistant enables you to reduce the need for manual searches by generating real-time guidance and concise summaries from guides and documentation that are available specifically for AWS Partners. For example, you can ask Partner Assistant how to list a software as a service (SaaS) product in AWS Marketplace, for details about available funding programs for Partners, or how to obtain the Generative AI Competency. The assistant’s responses include links to resources available in Partner Central and AWS Docs for further details.

AWS Partner Assistant is available to all Partners who have linked their Partner Central and AWS accounts .

Get started using AWS Partner Assistant by logging in to AWS Partner Central or the AWS Marketplace Management Portal and accessing the chat from the bottom right of your screen. Learn more about becoming an AWS Partner .
 

Today, Amazon Elastic Block Store (Amazon EBS), a high-performance block storage service, announces the general availability of Time-based Copy. This new feature helps you meet your business and compliance requirements by ensuring that your EBS Snapshots are copied within and across AWS Regions within a specified timeframe.

Customers use EBS Snapshots to back up their EBS volumes, and copy them across multiple AWS Regions and accounts, for disaster recovery, data migration and compliance purposes. Time-based Copy gives you predictability when copying your snapshots across Regions. With this feature, you can specify a desired completion duration, ranging from 15 minutes to 48 hours, for individual copy requests, ensuring that your EBS Snapshots meet their duration requirements or Recovery Point Objectives (RPOs). You can now also monitor your Copy operations via EventBridge and the new SnapshotCopyBytesTransferred CloudWatch metric, available by default at a 1-minute frequency at no additional charge.

Amazon EBS Time-based Copy is available in all AWS commercial Regions and the AWS GovCloud (US) Regions, through the AWS Console, AWS Command Line Interface (CLI), and AWS SDKs. For pricing information, please visit the EBS pricing page . To learn more, see the technical documentation for Time-based Copy for Snapshots .
 

We are excited to announce Advanced Scaling, a new capability in Amazon EMR Managed Scaling which provides customers increased flexibility to control the performance and resource utilization of their Amazon EMR on EC2 clusters. With Advanced Scaling, customers will be able to configure the desired resource utilization or performance levels for their cluster, and Amazon EMR Managed Scaling will leverage the customers intent to intelligently scale the cluster and optimize cluster compute resources.

Customers appreciate the simplicity of Amazon EMR Managed Scaling. However, there are instances where the default Amazon EMR Managed Scaling algorithm might lead to cluster under-utilization for specific customer’s workload. For instance, clusters running multiple tasks of relatively short duration (task runtime of 10 seconds or less), Amazon EMR Managed Scaling by default scales up the cluster aggressively and conservatively scale it down to avoid negative impact to job run times. While this is the right approach for SLA-sensitive workloads, it might not be optimal for cost sensitive workloads. With Advanced Scaling, customer can now configure Amazon EMR Managed Scaling behavior suitable for their workload type and we will apply tailored optimization to intelligently add or remove nodes from the clusters.

To get started with Advanced Scaling, you can set the ScalingStrategy and UtilizationPerformanceIndex parameters either when creating a new Managed Scaling policy, or updating an existing Managed Scaling policy. Advanced Scaling is available with Amazon EMR release 7.0 and later and is available in all regions where Amazon EMR Managed Scaling is available. For more details, please refer to our Advanced Scaling documentation .

AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora with PostgreSQL compatibility and Amazon Aurora with MySQL compatibility in US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt) regions. R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. Graviton4-based instances provide up to a 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora databases, depending on database engine, version, and workload.

You can spin up R8g database instances in the Amazon RDS Management Console or using the AWS CLI . Upgrading a database instance to R8g instance family requires a simple instance type modification. For more details, refer to the Aurora documentation .

Amazon Aurora is designed for unparalleled high performance and availability at global scale with PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page .

AWS PrivateLink now supports native cross-region connectivity. Until now, Interface VPC endpoints only supported connectivity to VPC endpoint services in the same region. This launch enables customers to connect to VPC endpoint services hosted in other AWS Regions in the same AWS pa rtition over Interface endpoints.

As a service provider, you can enable access to your VPCE service for customers in all existing and upcoming AWS Regions without the need to setup additional infrastructure in each region. As a service consumer, you can privately connect to VPCE services in other AWS Regions without the need to setup cross-region peering or exposing your data over the public internet. Cross-region enabled VPCE services can be accessed through Interface endpoints at a private IP address in your VPC, enabling simpler and more secure inter-region connectivity.

To learn about pricing for this feature, please see the AWS PrivateLink pricing page . The capability is available in US East (N. Virginia), US West (Oregon), Europe (Ireland), Asia Pacific (Singapore), South America (São Paulo), Asia Pacific (Tokyo) and Asia Pacific (Sydney) Regions. To learn more, visit AWS PrivateLink in the Amazon VPC Developer Guide.

AWS adds support for Availability Zone (AZ) awareness in the open-source Valkey General Language Independent Driver for Enterprise (GLIDE) client library. Valkey GLIDE is a reliable, high-performance, and highly available client, and it’s pre-configured with best practices from over a decade of operating Amazon ElastiCache. Valkey GLIDE is compatible with versions 7.2 and 8.0 of Valkey, as well as versions 6.2, 7.0, and 7.2 of Redis OSS. With this update, Valkey GLIDE will direct requests to Valkey nodes within the same Availability Zone, minimizing cross-zone traffic and reducing response time. Java, Python, and Node.js are the currently supported languages for Valkey GLIDE, with further languages in development.

With this update, Valkey GLIDE 1.2 also supports Amazon ElastiCache and Amazon MemoryDB’s JavaScript Object Notation (JSON) data type, allowing customers to store and access JSON data within their clusters. In addition, it supports MemoryDB’s Vector Similarity Search, empowering customers to store, index, and search vectors for AI applications at single-digit millisecond speed.

Valkey GLIDE is open-source, uses the Apache 2.0 license, and works with any Valkey or Redis OSS datastore, including Amazon ElastiCache and Amazon MemoryDB . Learn more about it in this blog post and submit contributions to the Valkey GLIDE GitHub repository .

Today, AWS announces the general availability of console context awareness for the Amazon Q Developer chat within the AWS Management Console. This new capability allows Amazon Q Developer to dynamically understand and respond to inquiries based on the specific AWS service you are currently viewing or configuring and the region you are operating within. For example, if you are working within the Amazon Elastic Container Service (Amazon ECS) console, you can ask “How can I create a cluster?” and Amazon Q Developer will recognize the context and provide relevant guidance tailored to creating ECS clusters.

This update enables more natural conversations without providing repetitive context details, allowing you to arrive at the answers you seek faster. This capability is included at no additional cost in the Amazon Q Developer Free Tier. For the Amazon Q Developer Pro Tier, which requires a paid subscription, this capability is also included. For more information on pricing, please see the Amazon Q Developer Pricing page. You can access this feature in all regions Amazon Q Developer chat is available in the AWS Management Console. You can get started today by chatting with Amazon Q Developer in the AWS Management Console.