Amazon Chime SDK lets developers add intelligent real-time audio, video, screen share, and messaging to their web applications. Media Pipelines allow developers to capture the contents of Amazon Chime SDK WebRTC media sessions to the Amazon Simple Storage Service (Amazon S3) bucket of their choice. Starting today, the Amazon Chime SDK now has media pipeline API endpoints in US West (Oregon), Europe (Frankfurt), and Asia Pacific (Singapore) AWS Regions.

Amazon Web Services (AWS) announces the general availability of Amazon EC2 I4i instances. Designed for storage I/O intensive workloads, I4i instances are powered by 3rd generation Intel Xeon Scalable processors (code named Ice Lake) with an all-core turbo frequency of 3.5 GHz, offer up to 30% better compute price performance over I3 instances, and always-on memory encryption using Intel Total Memory Encryption (TME).

You can now use Amazon Route 53 Resolver endpoints  for hybrid cloud configurations in the Asia Pacific (Jakarta) Region.

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, Databricks Delta Lake, and Snowflake.

Today we are launching the ability for AWS Snowball Edge customers to update device certificates for Snowball Edge devices deployed at edge locations. Customers, Solutions Architects, or Account Managers can open a support case with AWS Snow team to request software update package with new device certificate. Customers then use the existing software update process to apply the new device certificate to their Snow devices. This enables customers to deploy Snowball Edge devices for multiple years without having to replace devices to update their operating certificates.

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, Databricks Delta Lake, and Snowflake.

You can now use data tiering for Amazon ElastiCache for Redis as a lower cost way to scale your clusters to up to hundreds of terabytes of capacity in the Asia Pacific (Mumbai), Canada (Central), and South America (Sao Paulo) Regions. Data tiering provides a new price-performance option for Redis workloads by utilizing lower-cost solid state drives (SSDs) in each cluster node in addition to storing data in memory. It is ideal for workloads that access up to 20% of their overall dataset regularly, and for applications that can tolerate additional latency when accessing data on SSD.

Amazon Relational Database Service (Amazon RDS) Data API can now return results in a new simplified JSON format that makes it easier to convert JSON string to an object in your application. Previously, Amazon RDS Data API returned a JSON string as an array of data type and value pairs. This required developers to write custom code to parse the response and extract the values in order to manually translate the JSON string into an object. Instead, the new format returns an array of column names and values, which makes it easier for common JSON parsing libraries to convert the response JSON string to an object. The previous JSON format is still supported and existing applications using Amazon RDS Data API will work unchanged. To learn more about the new format and how to use it see our documentation .

AWS Snowball customers can now remotely monitor and operate their devices from AWS OpsHub or the AWS Command Line Interface (CLI). This enables customers to manage one or thousands of Snowball Edge devices, even when they are geographically dispersed. For Snowball Edge devices connected to the network, customers can remotely view a central dashboard to see whether a deviceis online, is unlocked, and monitor usage metrics such as available storage and compute capacity. Additionally, customers can now remotely unlock or reboot devices deployed in the field.

I wasn’t aware of the phrase were you? A biscuit book. It caught my eye when the UK government’s Defence Science and Technology Laboratory (DSTL) referred to a ‘Biscuit book’.

This story continues at Sample a cup of tea and a DSTL biscuit book – Quantum Physics

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