Category: Learning Levels

Introduction If you are using or planning to use AWS IoT Core to manage your fleet of Internet of Things (IoT) devices and wondering how to search for and discover a particular device or a set of devices based on their identities and capabilities, then using attributes for AWS IoT thing types is one of […]

Introduction This blog post represents the second entry in a series on using Overall Equipment Effectiveness (OEE) with AWS IoT SiteWise. In this post, we will do a deep dive on how to calculate OEE using AWS IoT SiteWise native capabilities to collect, store, transform, and display calculations as an end-to-end solution. We will look […]

Introduction The new disconnected duration metric in AWS IoT Device Defender now provides AWS IoT Device Defender Detect customers the ability to monitor Internet of Things (IoT) device connectivity status and duration of disconnection. Until now, customers had to rely on custom self-managed solutions, using AWS Lambda or Amazon CloudWatch, and Connect/Disconnect event messages from […]

Introduction Designing and developing a cost-efficient, cloud-connected video platform for surveillance cameras and smart home devices require developers to architect and integrate a streaming service capable of ingesting, storing, and processing unstructured media data at scale. The infrastructure behind such a platform needs to handle large volumes of predicated data load along with the flexibility […]

Introduction Overall equipment effectiveness (OEE) is the standard for measuring manufacturing productivity. It encompasses three factors: quality, performance, and availability. Therefore, a score of 100% OEE would mean a manufacturing system is producing only good parts, as fast as possible and with no stop time; in other words, a perfectly utilized production line. OEE provides […]

Introduction AWS IoT SiteWise is a managed service that helps customers collect, store, organize and monitor data from their industrial equipment at scale. Customers often need to bring their historical equipment measurement data from existing systems such as data historians and time series databases into AWS IoT SiteWise for ensuring data continuity, training artificial intelligence […]

Introduction Have you experienced long wait times when loading up a 3D scene in AWS IoT TwinMaker? Perhaps struggling with poor rendering performance when navigating a complex 3D model? There is a way to convert your models into the 3D Tiles standard for efficient streaming in a scene. In this blog you will learn how […]

Introduction Performing machine learning inference on edge devices using models trained in the cloud has become a popular use case in Internet of Things (IoT) as it brings the benefits of low latency, scalability, and cost savings. When deploying models to edge devices with limited compute and memory, developers have the challenge to manually tune […]

Introduction to Protocol Buffers Protocol Buffers, or Protobuf, provide a platform-neutral approach for serializing structured data. Protobuf is similar to JSON, except it is smaller, faster, and is capable of automatically generating bindings in your preferred programming language. AWS IoT Core is a managed service that lets you connect billions of IoT devices and route […]

Introduction The new AWS IoT Core Device Location feature allows Internet of Things (IoT) devices to retrieve and report their current location without relying on Global Positioning System (GPS) hardware. Devices and clients connected to AWS IoT Core can now use cloud-assisted Global Navigation Satellite System(GNSS), WiFi scan, cellular triangulation, and reverse IP lookup techniques […]