This week, we have three main updates from AWS:

  • The new AWS Middle East region.
  • Amazon EC2 On-Demand Capacity Reservation sharing.
  • Prediction facility in the Amplify framework.


AWS Middle East (BAHRAIN) Region

AWS has announced a new region which is the first one in the middle east and the 22nd region overall. This region comes with 3 availability zones and is immediately available for use in the AWS console. This is great news for thousands of AWS customers in the Middle East region and those who want to start building on AWS without having their data leave the region.

Along with this, the first AWS Direct Connect location in Bahrain was also announced to go live. Customers can now establish a dedicated local network connection from an on-premises server  to AWS. Customers in the region also get Arabic language support for Amazon Polly with a female text to speech voice called Zena.


Amazon EC2 On-Demand Capacity Reservations can now be shared

With the release of EC2 On-Demand Capacity Reservations last year, users were able to reserve on-demand instances for the specified period, in the location that was needed. The reservations activated as soon as the users requested and the capacity is tied to a specific availability zone. Now, Amazon has released capacity sharing across multiple AWS accounts. When you reserve the capacity in one account you can choose shared reservation from other AWS accounts within or outside your organization through the AWS resource access manager. This means that the organization that requires reserved capacity for fluctuating workloads can now utilize an essential pool of reserved instances for all their accounts.


Amplify Framework adds Prediction

AWS Amplify is an open-source project that rapidly decreases the development time of cloud applications on web or mobile. The Amplify Framework has now added a new category called Predictions to allow developers to easily add and configure AI and ML-based solutions. The Amplify command-line interface allows you to build infrastructure using any of the AWS Machine Learning services to identify, convert and interpret for classifying images or import and setup SageMaker endpoints allowing you to invoke custom models. The Javascript Library Support to use such cases now leverages Amazon Rekognition, Translate, Polly, Transcribe, Comprehend and Textract.

The iOS and Android SDK now include a SageMaker runtime which users can use to make inference requests to a customer or host in SageMaker. This also added a Textract in the Android SDK which can extract text and data from a scanned document as well.