Amazon Sidewalk is a shared network that helps devices work better through better connectivity options. Today, we are excited to announce the general availability of Amazon Sidewalk Integration for AWS IoT Core to help device manufacturers easily onboard their Sidewalk device fleet with AWS IoT Core. Amazon Sidewalk has been designed to support a wide range of customer devices like locating pets or valuables, to smart home security and lighting control, to remote diagnostics for appliances and tools.  

Amazon Managed Service for Prometheus (AMP) is a new, fully managed Prometheus-compatible monitoring service that makes it easy to monitor containerized applications at scale. The Cloud Native Computing Foundation’s Prometheus project is a popular open source and alerting monitoring solution optimized for container environments.  

AWS IoT Analytics is a fully managed service that makes it easy to collect, pre-process, enrich, store and analyze IoT data at scale to run sophisticated analytics on massive volumes of IoT data and gain insights into how IoT devices are operating without having to worry about the complexity typically required to build an analytics platform.

Amazon Managed Service for Grafana is a fully managed and secure data visualization service that enables customers to instantly query, correlate, and visualize operational metrics, logs, and traces for their applications from multiple data sources. Developed in partnership with Grafana Labs, Amazon Managed Service for Grafana manages the provisioning, setup, scaling, and maintenance of Grafana servers, eliminating the need for customers to do this themselves. Customers also benefit from built-in security features that enable compliance with governance requirements, including integration with AWS Single Sign-On, data access control, and audit reporting via AWS CloudTrail.

Today, AWS IoT is announcing Fleet Hub for AWS IoT Device Management (preview). The new feature enables customers to easily create a fully managed web application to view and interact with their device fleets to monitor fleet and device health, respond to alarms, take remote actions, and reduce time for troubleshooting. 

Today, we are announcing the first FreeRTOS Long Term Support (LTS) release. With this release, developers can rely on a FreeRTOS version that provides feature stability, and security patches and critical bug fixes for two years. This makes it easier to identify and include only recommended changes to the FreeRTOS kernel and libraries, without adding the risk of introducing updates that could break an existing application.

AWS IoT Analytics is a fully managed service that makes it easy to collect, pre-process, enrich, store and analyze IoT data at scale to run sophisticated analytics on massive volumes of IoT data and gain insights into how IoT devices are operating without having to worry about the complexity typically required to build an analytics platform.

AWS IoT Core now supports a new IoT rule action to deliver messages from your devices directly to your Amazon Managed Streaming for Apache Kafka (“Amazon MSK”) or self-managed Apache Kafka clusters for data analysis and visualization, without writing a single line of code.  

FreeRTOS is an MIT licensed open source, real-time operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage. Starting today, FreeRTOS includes a preview of a cellular LTE-M library and AWS IoT reference integrations with cellular modules from vendors such as Sierra Wireless, u-blox, and Quectel. With this launch, customers will find it easier to build IoT devices that use the cellular LTE-M protocol to connect to AWS IoT Core. 

We are excited to announce Alarms, a new feature (currently in preview) in AWS IoT Events that allows you to set up, visualize and manage rule-based alerts for devices, equipment, and processes. You can now receive alerts via SMS or email in near-real time when equipment data breaches thresholds, allowing operations teams to take timely actions to reduce unplanned downtime.