Category: Best Practices

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 […]

For many people, getting a package delivered from Amazon is painless. However, problems can arise in access-controlled properties such as apartment complexes, condominiums, and businesses. This post tells how an Amazon team developed Amazon Key for Business to address this issue. Overview Amazon strives to make its package delivery process quick and easy for customers. […]

AWS IoT Greengrass extends AWS managed services to edge device systems, providing security, message routing, and local state processing. It also provides a central hub for connectivity with other AWS services using AWS Lambda functions. Some edge systems with multiple devices produce high-frequency updates, such as device shadow updates. It can be difficult to determine […]

The AWS IoT Analytics platform offers configurable dataflows for processing messages from IoT devices, which can be either uni-schema or multi-schema. When you have billions of messages and millions of IoT devices, you need efficient designs for message-processing dataflows. In this post, you do a deep dive into various aspects of designing dataflows. You learn […]

Hardware and operating systems for edge devices are built and delivered to customers in a wide range of form factors, such as consumer gateways, industrial controllers, and in-vehicle infotainment systems. Original design manufacturers (ODMs) and original equipment manufacturers (OEMs) building commercial off-the-shelf products decide which hardware and software combinations to use. System integrators (SIs) developing […]

The Industrial Internet of Things (IIoT) presents an unparalleled opportunity for every industry to address core business challenges, such as reducing downtime, improving safety, increasing system output, reducing operating costs, and creating innovative services and business models. In this blog post, I will show how you can use AWS IoT services to build an asset […]

Realize business outcomes with the IoT Device Simulator, AWS IoT Analytics, Amazon QuickSight, Microsoft Power BI, and Tableau Customers often get wrapped up in slower hardware development cycles before they have real, potential business outcomes identified and agreed upon for their business. This post highlights how customers should consider using simulated devices to explore business […]

The IoT Foundation Series, a new curriculum dedicated to IoT on AWS, is now available online on the AWS Training and Certification website. This curriculum contains self-directed online training classes that are scenario-based and aligned with the library of IoT design patterns called the IoT Atlas and IoT best practices in AWS whitepapers. This curriculum […]

AWS CloudFormation support for AWS IoT Analytics resources was launched on December 18th, 2018. In this blog post, we introduce conventions for building IoT Analytics projects using CloudFormation and provide an array of sample templates to help you get started. As a refresher, every AWS IoT Analytics project has three required resources for data ingestion, […]

AWS IoT Device Tester is now available. AWS IoT Device Tester is a Windows/Linux/macOS test automation application that enables silicon vendors and OEMs to easily perform qualification testing to determine if their devices can run Amazon FreeRTOS or AWS IoT Greengrass and interoperate with AWS IoT services. AWS IoT Device Tester produces a test report that serves […]