The Internet of Things on AWS – Official Blog

Post by Asim Kumar Sasmal, Senior Data Architect in the IoT Global Specialty Practice of AWS Professional Services and Sourav Chakraborty, Senior Product Manager of AWS IoT SiteWise.   [Before reading this post, read Part 1 in the series.] In Part 1 of this series, you learned how to model and ingest data from industrial sites in a […]

Post by Saras Kaul, Senior Product Manager of IoT SiteWise, Asim Kumar Sasmal, Senior Data Architect, and Mark Gilbert, Senior Consultant in the IoT Global Specialty Practice of AWS Professional Services.   Industrial customers have been looking for a secure, cost-effective, and reliable field-to-cloud solution that does the following: Ingests all their data from hundreds of industrial sites that […]

Post by Angela Wang and Tanner McRae, Senior Engineers on the AWS Solutions Architecture R&D and Innovation team This post is the third in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In the previous 2 parts of the series, we walked […]

Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team This post is the second in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In part 1 of this series, we walked through the training […]

Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team Running computer vision algorithms at the edge unlocks many industry use cases that has low or limited internet connectivity. Combining services from AWS in the Machine Learning (ML) and Internet of Things (IoT) space, training a custom computer vision model and running […]

AWS IoT Device Management has a breadth of tools that enable businesses to build  IoT applications for every industry. However, when it comes to remote access to devices, that typically has involved a customer sending a control message either through a MQTT topic, or updating the device’s shadow and then having the device agent take action […]

In this blog post, we will explain how you can use AWS IoT Core Rules Engine’s HTTP action to send data directly to your existing HTTPS endpoint without writing additional code or making changes to published code. With this feature, you can integrate AWS IoT with your own web services without additional latency and complexity […]

Alexa Voice Service (AVS) Integration is a new feature of AWS IoT Core that enables device makers to make any connected device an Alexa Built-in device. AVS for AWS IoT reduces both the cost and complexity of producing Alexa Built-in devices by offloading compute and memory intensive tasks from physical devices to the cloud. With […]

This post demonstrates how to build a continuous integration and continuous deployment (CI/CD) pipeline for AWS IoT Greengrass projects. Readers should be familiar with AWS IoT Greengrass. This post focuses on streamlining the development process for AWS IoT Greengrass projects rather than explaining the technology itself. If you are not familiar with AWS IoT Greengrass, […]

AWS IoT Device Management Fleet Indexing has launched three APIs for getting aggregate information of devices: GetStatistics, GetPercentiles and GetCardinality. With these APIs, you can quickly answer questions like: What’s the percentage of the devices connecting to AWS IoT? What’s the maximum, minimum and average of device battery level? How many OS versions are present? […]