AWS IoT Device Management now enables customers to securely access remote devices using Secure Tunneling. Customers can troubleshoot misbehaving devices remotely to diagnose device issues, deploy a fix, and validate the device is working properly using remote shell or remote desktop operations.

AWS IoT Greengrass seamlessly extends AWS to edge devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. Starting today, developers using AWS IoT Greengrass can now package applications into Docker container images and deploy these seamlessly to edge devices. In addition, developers can collect, process, and export data streams, and manage the life cycle of data streams locally on devices.

Starting today, Amazon EC2 X1e instances are available in the Canada (Central) AWS region. 

Today, Amazon Simple Email Service (Amazon SES) launched a new feature that helps customers avoid sending emails to addresses that previously resulted in a bounce or complaint event. Customers can use this feature to protect their sender reputations and to improve the delivery rates for their messages.

Least outstanding requests (LOR) algorithm is now available for Application Load Balancer. This is in addition to the round-robin algorithm that the Application Load Balancer already supports. Customers have the flexibility to choose either algorithm depending on their workload needs. 

Starting today, customers can access AWS Cost Categories to map their cost and usage information to their unique internal business structures.  

AWS Lambda now supports four failure-handling features for processing Kinesis and DynamoDB streams: Bisect on Function Error, Maximum Record Age, Maximum Retry Attempts, and Destination on Failure. These new features allow you to customize responses to data processing failures and build more resilient stream processing applications.

Amazon CloudWatch has added three new features to the Application Insights for .NET and SQL Server capability to further enhance observability for your .NET and SQL Server based applications.

Application Auto Scaling target tracking can now be used to scale your Amazon AppStream 2.0 fleets. Target tracking allows you to dynamically scale your applications to automatically maintain a target metric. Using target tracking, AppStream 2.0 customers can simply specify a target capacity utilization metric for a fleet, and target tracking automatically increases or decreases the fleet capacity to maintain the target capacity utilization. Customers can configure target tracking policies for their AppStream 2.0 fleets via the AWS CLI, the AWS SDK, or AWS CloudFormation. To learn more, see Managing Fleet Scaling Using the AWS CLI .

Today, AWS announces AppConfig, a new capability within AWS Systems Manager that makes it easy for customers to quickly roll out application configurations across applications hosted on EC2 instances, containers, Lambdas, mobile apps, IoT devices, and on-premise servers in a validated, controlled and monitored way. System administrators, DevOps engineers, and developers now have the ability to manage configuration changes, similar to the way they manage code, but without the need for deploying code or taking their application out of service when a configuration value changes, thus mitigating risk of potential outages.