Amazon Kinesis Data Firehose is now available in the Middle East (Bahrain) AWS Region. Amazon Kinesis Data Firehose is the easiest way to load streaming data into data stores and analytics tools. You can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools you are already using.

Elastic Load Balancing now supports TLS termination on Network Load Balancers in AWS GovCloud (US). With this new feature, you can offload the decryption/encryption of TLS traffic from your application servers to the Network Load Balancer, helping you to optimize the performance of your backend servers while keeping your workloads secure. Additionally, Network Load Balancers preserve the source IP of the clients to the back-end applications, while terminating TLS on the load balancer.

The AWS Node Termination Handler makes it easy for customers to take advantage of the cost savings and performance boost offered by EC2 Spot Instances in their Kubernetes clusters while gracefully handling EC2 Spot Instance terminations.  

Amazon Redshift now enables users to add and change sort keys of existing Redshift tables without having to re-create the table. The new capability simplifies user experience in maintaining the optimal sort order in Redshift to achieve high performance as their query patterns evolve and do it without interrupting the access to the tables.

You can now launch Amazon RDS instances for Oracle Database 19c. 

You can now receive notifications about events in repositories, build projects, deployments, and pipelines when you use AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and/or AWS CodePipeline. Notifications will come in the form of Amazon SNS notifications. Each notification will include a status message as well as a link to the resources whose event generated that notification.

Customers building services that communicate using protocols like HTTP/2 and gRPC can now model and manage their inter-service communications using AWS App Mesh.

The AWS Step Functions Data Science Software Development Kit (SDK) is an open-source library that allows you to easily create workflows that pre-process data and then train and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately.

This Quick Start deploys TrueVoice Proof of Value (PoV) registration artifacts on the Amazon Web Services (AWS) Cloud. 

You can now choose an Amazon Elastic File System (Amazon EFS) Lifecycle Management policy to automatically move files that haven’t been accessed for 7 days into the EFS Infrequent Access (EFS IA) storage class and save up to 92% as your access patterns change. You can configure this new policy option for your file system, or you can use one of the existing policy options: 14, 30, 60, or 90 days.