Taoglas has inset one antenna inside another to cover GNSS L1 and L5 with a 35 x 35 x 4mm surface-mount device – which is optimised for use on a …

The post Dual-band patch-in-patch GNSS antenna is 4mm thick appeared first on Electronics Weekly .

Recom has announced a series of 140W single-output ac-dc mains power supplies that can handle 210W for ten seconds. The RACM140E-K series offers a choice of 12, 15, 24, 36 …

The post 140W ac-dc PSU handles 210W surges for 10s appeared first on Electronics Weekly .

At DAC 2024, Altair showcased its 3D-IC design and SimLab multi-physics modelling and simulation tool. Today, the company has announced the acquisition of Metrics Design Automation, a Canadian company led …

The post Altair to acquire Metrics Design Automation appeared first on Electronics Weekly .

402Tbit/s has been sent down 50km of commercial-grade optical fibre by an international team led by the Japanese National Institute of Information and Communications Technology (NICT). 1,505 WDM (wavelength division …

The post 402Tbit/s down commercial optical fibre appeared first on Electronics Weekly .

Today, Amazon API Gateway has expanded the availability of WebSocket APIs to 7 additional AWS Regions: Asia Pacific (Jakarta), Europe (Zurich), Europe (Spain), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Israel (Tel Aviv), and Canada West (Calgary). With this launch, customers can build APIs with real-time bi-directional communication across all commercial AWS Regions.

Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. WebSocket APIs enable real-time bi-directional communication, resulting in richer client-server interactions where services can push data to clients without requiring clients to make an explicit request. They are often used in real-time applications such as chat applications, collaboration platforms, multiplayer games, and financial trading platforms. WebSocket APIs have routes that can be integrated with backend HTTP endpoints, Lambda functions, or other AWS services.

Starting today, AWS Application Migration Service (AWS MGN) provides an action for installing the Dynatrace agent on your migrated instances. For each migrated server, you can choose to automatically install the Dynatrace agent to support your observability needs.

Application Migration Service minimizes time-intensive, error-prone manual processes by automating the conversion of your source servers to run natively on AWS. It also helps simplify modernization of your migrated applications by allowing you to select preconfigured and custom optimization options during migration.

This feature is now available in all of the Commercial regions where Application Migration Service is available. Access the AWS Regional Services List for the most up-to-date availability information.

To start using Application Migration Service for free, sign in through the AWS Management Console . For more information, visit the Application Migration Service product page .

For more information on Dynatrace and to create a trial account, visit the Dynatrace sign up page .

Amazon Connect now supports the ability to preferentially route a contact within a queue to specific agents. Using this new feature, you can now set the preferred agent(s) for a given contact, and if that agent is unavailable, fall back to the next set of routing criteria. You can also use this feature to integrate Amazon Connect’s routing with your own custom business logic or machine learning models to personalize matching each contact to the most suitable agent, resulting in better business outcomes and increased customer satisfaction. For example, you could route repeat contacts to the agent who previously handled the customer, and if that specific agent isn’t available, offer the contact to another available agent within the same queue.

This feature is available in all AWS regions where Amazon Connect is offered. To learn more about routing criteria, see the Amazon Connect Administrator Guide . To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website .

Amazon RDS for PostgreSQL now supports new PL/Rust crates such as serde and serde_json crates, allowing you to exchange information between server and client or between servers by serializing and deserializing data structures in your PL/Rust user-defined functions. The release also includes support for regex crate that allow you to search strings for matches of a regular expression and url crate that implements the URL standard to provide parsing and deparsing of URL strings. With support for additional crates, you can now build more types of extensions on RDS for PostgreSQL using Trusted Language Extensions for PostgreSQL (pg_tle).

pg_tle is an open source development kit to help you build extensions written in a trusted language, such as PL/Rust, that run safely on PostgreSQL. Support for serde, serde_json, regex, and url crates is available on database instances in Amazon RDS running PostgreSQL 16.3-R2 and higher, 15.7-R2 and higher, 14.12-R2 and higher, and 13.15-R2 and higher in all applicable AWS Regions. To learn more about using pg_tle, see our documentation .

Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console .
 

Amazon S3 Access Grants now integrate with open source Python frameworks using the AWS SDK for Python (Boto3) plugin. S3 Access Grants help you to map identities in Identity Providers (IdPs) such as Active Directory, or AWS Identity and Access Management (IAM) principals, to your datasets in S3. Importing the Boto3 plugin to your client replaces any custom code required to manage data permissions, so you can use S3 Access Grants in open source Python frameworks such as Django, TensorFlow, NumPy, Pandas, and more.

Get started with S3 Access Grants using the AWS SDK for Python by importing the Boto3 plugin as a module in your Python code. The Boto3 plugin now has the ability to automatically request, cache, and refresh temporary credentials issued by S3, based on an Access Grant. As a result, the permissions for your Python-based S3 clients will be determined based on user group membership in an IdP.

Amazon S3 Access Grants are available in all AWS Regions where AWS IAM Identity Center is available . To learn more about the Boto3 plugin, visit the GitHub repository . For pricing details, visit Amazon S3 pricing . To learn more, refer to the documentation .

Amazon S3 Access Grants now integrate with Amazon SageMaker Studio for machine learning (ML) model training. S3 Access Grants help you to map identities in Identity Provider (IdPs) such as Active Directory, or AWS Identity and Access Management (IAM) principals, to your ML datasets in S3. Using the AWS SDK for Python (Boto3) plugin within Amazon SageMaker Studio notebooks helps you easily use S3 Access Grants for ML training and inference.

Get started with S3 Access Grants in SageMaker Studio by launching a JupyterLab notebook. Next, import the Amazon S3 Access Grants Boto3 plugin into your notebook to start accessing your ML datasets in S3. The Boto3 plugin automatically requests, caches, and refreshes temporary credential tokens for all S3 requests that you run in your notebook. S3 Access Grants automatically update S3 permissions based on end-user group membership as users are added and removed from groups in the IdP.

Amazon S3 Access Grants with Amazon SageMaker Studio are available in all AWS Regions where SageMaker Studio is available . For pricing details, visit Amazon S3 pricing and Amazon SageMaker pricing . To learn more about S3 Access Grants, refer to the documentation .