Today, AWS launched a new feature for static analysis of your event “detector models” (representations of your IoT devices as state machines on the AWS cloud) in AWS IoT Events. The feature automatically performs 7 different analyses (see list in developer guide ) of your models for potential syntax errors (e.g. bad expressions or payloads), structural issues (e.g. missing states or input triggers) and runtime errors (e.g. data type mismatch, missing data, potential to hit service limits, etc.). This debugging tool is particularly useful for complex detector models which have a large number of state changes, each with unique conditional logic triggered by multiple input data streams. The analysis summarizes diagnostic information of each of the 7 analyses by severity level (‘info’, ‘warning’, ‘error’) and identifies its location within the model (state, transition, action, etc.) to help you fix issues in your model even before publishing it.

Starting today, customers can run macOS Big Sur (11.2.1) as Amazon Machine Images (AMIs) on EC2 Mac instances. macOS Big Sur is the current major macOS release from Apple, and introduces multiple new capabilities and performance improvements over prior macOS versions. macOS Big Sur will support running Xcode versions 12.5 and later, which will include additional SDKs for iOS 14.5, iPadOS 14.5, tvOS 14.5, watchOS 7.4, and macOS Big Sur 11.3. Customers can now also access Amazon EFS file systems from EC2 Mac instances running macOS Big Sur.

We’re excited to announce a free new digital curriculum: Build Modern Apps with Purpose-Built Databases. The curriculum explores the benefits of Amazon purpose-built databases and illustrates a step-by-step process for creating and modeling the databases for modern applications. Designed for data engineers, database developers, and solutions architects, this intermediate, three-hour curriculum has six self-paced modules that include presentations, video demonstrations, and downloadable user guides. 

Amazon EC2 Auto Scaling now allows you to view deleted Auto Scaling groups in the scaling history. Previously if you deleted an Auto Scaling group, you needed to either maintain a record of scaling activities for deleted Auto Scaling groups or ask AWS support team to retrieve the scaling activities for you. Now, you can specify one additional parameter in a describe call to get a description of the scaling history for deleted Auto Scaling groups. This makes it easier to keep a record of scaling activities after an application has been shut down.

We’re excited to announce the launch of AWS Network Firewall Deployment Automations for AWS Transit Gateway, a reference implementation to help customers deploy and configure the AWS resources needed to inspect and filter VPC-to-VPC (East-West) traffic.

AWS Training and Certification is excited to announce two new courses for Media Services: Media Supply Chain: Video Processing and Delivery and Introduction to AWS Media Services by Use Case . These digital courses are designed for organizations and individuals seeking to build cloud-based media workflows. 

AWS CodeBuild’s support for Arm-based workloads now run on AWS Graviton2 without any additional configuration.

Amazon RDS for Oracle now supports the January 2021 Release Update (RU) for Oracle Database 12.2, 18c, and 19c. January 2021 Patch Set Update (PSU) for Oracle Database 12.1 will be launched soon.  

Today, we are announcing AWS Control Tower Region Selection, a new capability that provides you the ability to efficiently manage the geographical footprint of your AWS Control Tower resources. You can now select the additional Regions you would like AWS Control Tower to govern; providing you with the capabilities to address compliance and regulatory concerns while balancing the costs associated with expanding into additional regions.

Starting today, the latest generation of burstable, general purpose Amazon EC2 T4g instances are now available in Asia Pacific (Hong Kong), and Europe (Stockholm) regions. These instances are powered by Arm-based AWS Graviton2 processors and deliver up to 40% better price performance over T3 instances. The T4g instances provide a baseline level of CPU performance with the ability to burst CPU usage at any time for as long as required. They offer a balance of compute, memory, and network resources for a broad spectrum of general purpose workloads, including large scale micro-services, caching servers, search engine indexing, e-commerce platforms, small and medium databases, virtual desktops, and business-critical applications.