The Internet of Things on AWS – Official Blog

Category: Expert (400)

Connecting with mobile BLE to AWS IoT Core using FreeRTOS and Nordic nRF52840-DK

As an IoT solution architect, customers often ask me how they can connect to AWS IoT Core (cloud) using a microcontroller unit (MCU). One solution is to use Bluetooth Low Energy (BLE) as the connection from the MCU to a mobile device; from there, the mobile device connects to the cloud. BLE works for consumer […]

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This image shows what happens when you Click over to the History tab in the AWS IoT Device Defender console. You can see all the alarm events that occurred over the past 24 hours (you can select additional options from drop down to display up to 30 days. The green line represents alarms cleared and red indicates devices still in alarm. Hovering over the lines and dots, you can see the date, time, and status of the alarms during this timestamp.

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 […]

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Integrate open source InfluxDB and Grafana with AWS IoT to visualize time series data

Across numerous types of implementations, a large portion of IoT applications collect large volumes of telemetry data. From industrial use cases to healthcare, and from consumer goods to logistics, IoT telemetry data points are highly time-dependent. In most IoT solutions, when the data is collected and reported matters for several reasons. For instance, in attribution […]

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Converting industrial protocols with AWS IoT Greengrass

Gaining access to sensor data or telemetry of industrial machines is a key requirement for implementing high-value use cases around smart manufacturing or Industry 4.0. For instance, predictive maintenance or automated quality control is not possible without having such data at a high temporal resolution. Given the heterogeneous environment of modern industrial production lines with […]

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