We’re very pleased to bring you Amazon Lumberyard beta version 1.24.0.0, which contains many improvements to the Lumberyard engine and tools, particularly around quality of life with Script Canvas, the core editor, and asset bundling.
Announcing price reduction for AWS Outposts in Bahrain
Starting today, pricing for AWS Outposts general purpose, compute optimized, and memory optimized configurations has been reduced in the country of Bahrain.
Amazon DynamoDB now supports empty values for non-key String and Binary attributes in DynamoDB tables
Amazon DynamoDB now supports empty values for non-key String and Binary attributes in DynamoDB tables. Empty value support gives you greater flexibility to use attributes for a broader set of use cases without having to transform such attributes before sending them to DynamoDB. List, Map, and Set data types also support empty String and Binary values.
Amazon Elastic Container Service now supports Environment files for the EC2 launch type
Amazon Elastic Container Service (ECS) now supports environment files to store environment variables for containers using the EC2 Launch type. This simplifies configuration of environment variables by editing or referencing centrally located files, instead of manual edits to environment variables as key value pairs across all your containers.
Amazon Chime SDK Meetings support up to 250 attendees
Using the Amazon Chime SDK, developers can now build applications capable of hosting audio and video conferences with up to 250 attendees. Customers that have deployed applications using the Amazon Chime SDK can access larger meeting sizes immediately without updating the client SDK version or making changes to their application.
Amazon RDS for SQL Server now supports SQL Server Reporting Services (SSRS)
Starting today, Amazon RDS for SQL Server supports SQL Server Reporting Services (SSRS), giving you the ability to host the report server web portal on the same Amazon RDS DB instance as your SQL Server database. There is no additional cost to install SSRS directly on your Amazon RDS DB instance.
Amazon RDS for SQL Server supports Bulk Insert on highly available DB Instances using Amazon S3 Integration
Starting today, Amazon RDS for SQL Server supports S3 integration in both the Multi-AZ and Single-AZ configurations, giving you the ability to transfer files between your DB instance and Amazon S3 using features such as Bulk Insert.
Amazon Chime Voice Connector now supports real-time audio streaming for Cisco Unified Border Element Network-Based Recording
Amazon Chime Voice Connector now supports real-time audio streaming for media forked from Cisco Unified Border Element (CUBE) using Network-Based Recording. This makes it easy for you to build machine learning, analytics, and processing applications using real-time call audio from your on-premises Cisco phone systems. Previously, you had to integrate and deploy expensive on-premises hardware and software, or make disruptive changes to your enterprise voice network.
Espressif’s ESP32-WROOM-32SE module is now qualified for use with AWS IoT Multi-Account Registration
Semiconductor manufacturers like Espressif can now use AWS IoT Core Multi-Account Registration to pre-configure silicon components like secure elements with X.509 certificates and private keys, ensuring devices built using these components are pre-qualified to connect to AWS IoT by default. AWS IoT customers can then use these qualified devices together with AWS IoT Multi-Account Registration to simplify device registration and easily move devices between multiple AWS accounts in the same Region.
Amazon Redshift now leverages Bloom filters to improve data lake query performance by up to 2x
Amazon Redshift now leverages Bloom filters to enable early and effective data filtering for up to 2x faster query performance on external tables in Amazon S3. A Bloom filter is a probabilistic, memory-efficient data structure that accelerates join queries at scale by filtering rows that do not match the join relation, significantly reducing the amount of data transferred over the network. Amazon Redshift automatically determines what queries are suitable for leveraging Bloom filters at query runtime. You can power a lake house architecture with Amazon Redshift Spectrum to directly query and join data across your data warehouse and data lake, enabling you to gain unique insights not possible otherwise.