We are thrilled to announce AWS IoT Core for LoRaWAN, a fully managed capability that allows AWS IoT Core customers to connect and manage wireless devices that use low-power long-range wide area network (LoRaWAN) connectivity with the AWS cloud. Using AWS IoT Core, enterprises can now setup a private LoRaWAN network by connecting their own LoRaWAN devices and gateways to the AWS cloud – without developing or operating a LoRaWAN Network Server (LNS). This allows customers to eliminate the undifferentiated work and operational overhead of managing an LNS, and enables them to quickly connect and secure LoRaWAN device fleets at scale. AWS IoT Core for LoRaWAN also makes it easy to act on the data from connected devices using AWS services for processing, storage, analytics, or machine learning. With built-in integration with AWS IoT Rules Engine, AWS IoT Core for LoRaWAN automatically routes messages from connected LoRaWAN devices to customer defined rules, thus accelerating IoT application development. 

Customers can now use AWS Lambda to build analytics workloads for their Amazon Kinesis or Amazon DynamoDB Streams. For no additional cost, customers can build sum, average, count, and other simple analytics functions over a contiguous, non-overlapping time windows (tumbling window) of up to 15 minutes per shard. Customers can consolidate their business and analytics logic into a single Lambda function, reducing the complexity of their architecture.

For customers using AWS Organizations, the AWS Personal Health Dashboard now provides an all-up view of Health events occurring across your organization. From a single aggregated dashboard, you can learn about maintenance events, security vulnerabilities, and AWS service degredations affecting any account in your AWS organization. Organizational View for the Personal Health Dashboard comes at no additional cost and does not require a premium AWS Support plan. 

AWS Lambda now allows customers to build applications that can be triggered by messages in an Apache Kafka cluster hosted on any infrastructure. Customers can keep their existing Apache Kafka cluster as-is, and quickly and easily build Kafka consumer applications with Lambda without needing to worry about provisioning or managing servers.  

Today, we are announcing the general availability of AWS Wavelength on KDDI’s 5G network in Japan. Wavelength allows developers to build applications that need ultra-low latency or high bandwidth for mobile devices and users on KDDI’s 5G network. AWS Wavelength is available on the KDDI 5G network today in Tokyo, and we are collaborating with KDDI to bring AWS infrastructure and services closer to customers across Japan.

AWS Lambda now allows customers to automatically checkpoint records that have been successfully processed for Amazon Kinesis and Amazon DynamoDB Streams, using a new parameter, FunctionResponseType. When customers set this parameter to “Report Batch Item Failure”, if a batch fails to process, only records after the last successful message are retried. This reduces duplicate processing, and gives customers more options for failure handling.

The AWS SDK for JavaScript, version 3 (v3) is now generally available and includes many frequently requested features, such as a new middleware stack and a first-class TypeScript support . It also has a modular architecture , with a separate package for each service. You can improve your application performance by only importing the packages your application requires and reducing your application bundle.

Today, we are announcing the launch of a net-new track within the AWS Public Safety and Disaster Response (PSDR) Competency to now include AWS Technology Partners. These AWS Competency Partners have deep expertise and proven customer success in designing technology solutions to aid in preparing for, responding to, and recovering from various natural and man-made disasters and emergencies globally.

We are excited to announce the launch of Unified Search to enable AWS users to easily search and discover information in the AWS Management Console. AWS users can now search for services (e.g. IAM), features (e.g. Users), Marketplace products (e.g. Splunk), and AWS Documentation (e.g. troubleshooting guides) without leaving the AWS Management Console. You can access the search bar using a keyboard shortcut (alt-s or option-s), autocomplete by using the right arrow key, and navigate to the top search result by pressing the enter key. Unified Search is available in all public AWS Regions.

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to prepare, build, train and tune, deploy and manage models. Starting today, you can secure the connection from your Amazon Virtual Private Cloud (VPC) to SageMaker Studio using AWS PrivateLink. When using PrivateLink, all the traffic flows entirely within the AWS network without traversing the public internet, thus adding an additional layer of security.