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 announces Amazon Managed Service for Grafana in Preview
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.
AWS IoT Device Management introduces Fleet Hub, a new, easy way to monitor and interact with IoT device fleets
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.
Announcing FreeRTOS Long Term Support
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 can now store processed IoT data in data stores using Apache Parquet format
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.
Announcing support for Alarms (Preview) in AWS IoT Events and AWS IoT SiteWise
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.
AWS IoT Core adds the ability to deliver data to Apache Kafka clusters
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 adds cellular LTE-M interface library to support cellular IoT based applications
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.
AWS IoT SiteWise launches support for Modbus TCP and EtherNet/IP protocols with enhancements to OPC-UA data ingestion
AWS IoT SiteWise now supports data ingestion using ModBus TCP and EtherNet/IP (EIP) protocols. You can do so by adding Modbus or EIP devices as data sources to your SiteWise Gateway . For data ingestion from OPC-UA data sources, you can now customize the scan mode and scan rate along with specifying deadbands. Lastly, you can provide a custom AWS IoT Greengrass StreamManager stream as a destination for protocol data.
Introducing AWS IoT SiteWise plugin for Grafana
Today, AWS and Grafana Labs launched the AWS IoT SiteWise plugin for Grafana. This plugin lets you easily visualize your AWS IoT SiteWise data in your Grafana dashboards. With this plugin, you can easily visualize and monitor your equipment data in near-real time using the wide range of visualization options in Grafana dashboards. You can also easily combine data from multiple sources (e.g., AWS IoT SiteWise, Amazon Timestream, Amazon CloudWatch) and monitor them all using a single Grafana dashboard. You can also embed these Grafana dashboards into your custom applications.