Category: Best Practices

There are an estimated 31 billion IoT devices in 2020, and this is expected to increase to 75 billion by 2025 according to Security Today. You may be starting on your IoT journey or have hundreds of thousands of devices connected and want to improve your architecture and reduce your cost. To guide you through […]

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.

Introduction IoT product development crosses several domains of expertise from embedded design to communication protocols and cloud computing. Because of this complexity “end-to-end” or “edge-to-cloud” IoT security is becoming a challenging concept in the industry. Edge in many cases refers to the device as a single element in the edge-to-cloud chain. But the device must […]

Industrial IoT (IIoT) bridges the gap between industrial equipment and automation networks (usually called OT, Operations Technology) and Information Technology (IT). In IT, use of new technologies such as machine learning, cloud, mobile, and edge computing are becoming commonplace. IIoT brings machines, cloud computing, analytics, and people together to improve performance, productivity, and efficiency of […]

Solution providers operating environments such as smart building, utilities, manufacturing systems, and connected products offer business-to-business services often based on IoT platforms deployed in multitenant deployments. Securely managing those resources by use case, types, locations and by tenants can sometime be hard. Creating hierarchical grouping of things is a common pattern, but it does not […]

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, 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 […]

Co-authored by Aniruddh Chitre, AWS Solutions Architect This post demonstrates how AWS IoT Greengrass can be integrated with a Trusted Platform Module (TPM) to provide hardware-based endpoint device security. This integration ensures the private key used to establish device identity can be securely stored in tamper-proof hardware devices to prevent it from being taken out […]