The Internet of Things on AWS – Official Blog

Category: AWS Lambda

Dashboard in Grafana of Floor 6 where half of floor is highlighted indicating an issue. Time series graph of temperature illustrating the temperature crossing the alarm threshold

Improving building operational performance with Cognizant 1Facility and AWS IoT TwinMaker

Post also written by Shardul Pradhan and Ramesh Yechangunja from Cognizant Introduction Recent market conditions have stressed the commercial building management market due to the increased cost of construction, reduced occupancy, and increased cost of labor to monitor and maintain buildings. This is fueling the need for smarter and safer buildings. According to research from […]

Read More

Building a scalable IoT system for connected air purifiers on AWS IoT: Blueair (a Unilever company)

Introduction Our homes contain everything from dust, cooking fumes, and chemicals released from paint, furniture, and cleaning agents. Add to that polluted outdoor air making its way into our homes through ventilation, and you’ve got a cocktail of toxins floating around between your four walls. Clean air has proven positive health benefits. It can provide […]

Read More

Securely ingesting large-sized payloads from IoT devices to the AWS Cloud

AWS IoT Core lets you securely ingest payloads from IoT devices to the AWS Cloud at a large scale—supporting billions of devices and trillions of messages. It also lets you process the messages and manage the devices from the cloud reliably and securely. One challenge you may have faced while designing your solution with AWS […]

Read More
Decoupled process diagram

How a major manufacturer manages and monitors industrial devices and vehicles with AWS IoT

Learn about a decoupled approach that unlocks device distribution, and see how an AWS customer who manufactures industrial devices and vehicles uses the decoupled approach to more effectively manage and monitor vehicles with AWS IoT.

Read More

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, […]

Read More
This image shows how the customer leverages AWS IoT Device Management to securely manage their fleet of connected refrigerators

Connecting home appliances with a smart home solution built on AWS in the AWS China Region

This blog post introduces how the manufacturers of home appliances can use AWS Services to build and maintain their smart home solutions. These solutions are both the platforms that power their connected products as well as the applications consumers use to control those products. This blog post illustrates a real use case from a customer […]

Read More

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 […]

Read More
Voice Enable Devices with AWS IoT and Amazon Alexa

Implement a Connected Building with Amazon Alexa and AWS IoT

This post covers the use case of an organization creating voice-enabled features for its customers. The example use case is building a smart hotel environment that allows hotel guests and employees to use voice commands to control devices within hotel rooms. Throughout this post, we focus on the integration between Amazon Alexa, Amazon API Gateway, […]

Read More

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 […]

Read More