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Thyristors and diodes for automotive

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Aiming at on-board battery chargers, Vishay has released a family of high-voltage thyristors and diodes qualified to AEC-Q101. There are 37 all together, in three packages: surface-mount DPAK (TO-252AA) surface-mount D²PAK (TO-263AB) through-hole TO-247AD The nine thyristors deliver continuous on-state current from 12 to 79A rms, while the diodes, both standard and fast recovery types, offer …

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AWS IoT Core Now Supported in the Asia Pacific (Mumbai) Region

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You can now use AWS IoT Core in the Asia Pacific (Mumbai) Region. This expansion increases the number of AWS Regions where AWS IoT Core is available to twelve. Running AWS IoT Core in your local region can help to minimize latencies and may help you meet your local data compliance obligations.

AWS IoT Core is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT Core can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.

For the full list of regions where AWS IoT Core is available, see the AWS Regions table. Visit the getting started page to start using AWS IoT Core, and visit the pricing page to view pricing for Asia Pacific (Mumbai) and other regions.

AWS Machine Learning for Consulting Partners Competency

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Today, we launched the AWS Machine Learning Competency Program for Consulting Partners. This program showcases APN Partners with deep expertise in Machine Learning on AWS that can provide solutions for AWS customers that enable machine learning and data science workflows. With this new AWS Competency, AWS customers can find an APN Partner that will help them utilize Machine Learning services and tools on AWS to add intelligence to any application.

AWS Machine Learning Partners have gone under a strict validation of their capabilities to demonstrate technical proficiency and proven customer success in AWS Machine Learning.

To learn more about the AWS Machine Learning Consulting Partners, click here. 

AWS Step Functions Regional Expansions

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AWS Step Functions is now available in two additional AWS Regions: Asia Pacific (Seoul) and US West (N. California). AWS Step Functions makes it easier to coordinate the components of distributed systems, serverless applications, and microservices using visual workflows.

Application Load Balancer and Network Load Balancer now Support Resource- and Tag-based Permissions

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Application Load Balancers and Network Load Balancers now support resource- and tag-based permissions. This enables customers to implement fine-grained access controls on their load balancers using IAM policies.

Prior to this announcement, customers could only create user- or group-level policies to restrict API actions on the load balancers in their account. Customers were forced to give users all-or-nothing control over the resources. For instance, a user policy to allow DeleteLoadBalancer API would permit the user to delete any load balancer in the account.

With this release, policies can be applied on specific load balancer resources identified by their ARNs or tags. This is supported for all types of load-balancer resources i.e. load balancer, listener, rule and target groups.

Learn more by reading the load balancer user guide . You can also subscribe to our discussion forum to get launch announcements and post your questions.

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