The Internet of Things on AWS – Official Blog
Category: Technical How-to
Migrating connected device fleets to AWS with Custom Domains for AWS IoT Core
Introduction AWS launched Configurable Endpoints with Custom Domains for AWS IoT Core, a new capability that allows customers to customize the behavior of their AWS IoT Core data endpoints with custom domain names. Custom Domains enable customers to register their original custom domain names and associated server certificates to their AWS IoT Core endpoints. This […]
Detect scene changes in remote areas with AWS IoT Events and Amazon SageMaker
Organizations with large numbers of assets need to monitor their physical and operational health, in order to detect issues and act upon them. This post covers the use case of a fictitious industrial organization AcmeDrone that uses drone devices to inspect assets periodically such as infrastructure components like valves, oil/gas pipelines or power transmission lines, […]
Real-time monitoring of industrial equipment using Alarms in AWS IoT SiteWise
Introduction The Alarms feature in AWS IoT SiteWise allows you to set up, visualize, and manage rule-based alerts for devices, equipment, and processes. You can 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 equipment downtime. AWS IoT SiteWise Alarms […]
Implementing Local Client Devices with AWS IoT Greengrass
AWS IoT Greengrass is an open source edge runtime and cloud service that helps you build, deploy, and manage device software at the edge. AWS IoT Greengrass Version 2.2.0 now includes support for local clients and devices (client devices) to locally connect to an AWS IoT Greengrass Core using MQTT. Client devices can securely send […]
Get Started with Fleet Hub for AWS IoT Device Management
There are billions of devices in homes, factories, oil wells, hospitals, cars, and thousands of other places–which means there are billions of devices to monitor and manage. AWS IoT helps customers in all industries effectively manage their device fleets, and can reliably scale to billions of devices and trillions of messages. Companies often rely on […]
Part 2/2: Building Reliable IoT Device Software Using AWS IoT Core Device Advisor
This post was co-written by David Walters, Sr Partner Solutions Architect, AWS IoT, and Pavan Kumar Bhat, Sr. Technical Product Manager, AWS IoT Device Ecosystem. Introduction This is the second blog in a two-part series. In the first blog, I explained the importance of testing IoT devices and how AWS IoT Core Device Advisor works. […]
Part 1/2: Building Reliable IoT Device Software Using AWS IoT Core Device Advisor
This post was co-written by David Walters, Sr Partner Solutions Architect, AWS IoT, and Pavan Kumar Bhat, Sr. Technical Product Manager, AWS IoT Device Ecosystem. Introduction Internet of Things (IoT) devices that fail to connect to the internet reliably or are vulnerable to security threats can be catastrophic to IoT device makers. An unreliable IoT […]
How to troubleshoot an AWS IoT Events detector model
AWS IoT Events is a managed service that makes it easy to detect and respond to events from IoT devices. The detector model in AWS IoT Events monitors equipment for events and triggers actions. Finding issues with the detector model before its use is crucial. This blog introduces a troubleshooting feature to find issues with your detector model without using it.
Using AWS IoT Greengrass Version 2 with Amazon SageMaker Neo and NVIDIA DeepStream Applications
AWS IoT Greengrass Version 2 was released for general availability during re:Invent 2020. AWS IoT Greengrass is an Internet of Things (IoT) open source edge runtime and cloud service that helps you build, deploy, and manage device software. Customers use AWS IoT Greengrass for their IoT applications on millions of devices in homes, factories, vehicles, […]
AWS IoT Device Defender Announces ML Detect GA
Today, AWS announced the general availability of AWS IoT Device Defender Machine Learning Detect and Mitigation (ML Detect), a new feature that automatically detects IoT device-level operational and security anomalies based on learnings from past device data. Customers can already use AWS IoT Device Defender’s Rules Detect feature to manually set static alarms. ML Detect […]






![Figure showing the results from analyzing the detector model in the AWS IoT Events console. The results include a warning for data types used in your detector model. The warning message is "Incompatible data types [Boolean, String] used with $variable.resetMe. This may lead to a runtime error."](https://d2908q01vomqb2.cloudfront.net/f6e1126cedebf23e1463aee73f9df08783640400/2021/04/27/HVAC-detector-model-analysis-warning-from-AWS-IoT-Events-console-1-1024x190.png)

