The Internet of Things on AWS – Official Blog

Category: Internet of Things

Developing a Remote Job Monitoring Application at the edge using AWS IoT Greengrass (part 1)

Introduction Many modern industrial operations require extensive monitoring and real-time decision making for efficiency and safety reasons. To reduce the unexpected network interruption and delay in IoT data processing, edge computing becomes a desirable option for real-time IoT data processing and monitoring. Edge computing is a system of micro computing/storage devices that are installed at […]

Developing a Remote Job Monitoring Application at the edge using AWS IoT Greengrass (part 2)

Introduction In this second-series blog post, we will continue to showcase a user interface (UI) application at the edge with AWS IoT Greengrass V2, a jointly developed solution by AWS Partner, TensorIoT, and AWS Professional Services. This UI application at the edge contains multiple custom AWS IoT Greengrass V2 components to achieve flexible IoT data […]

Architecture diagram

Detect water leaks in near real time using AWS IoT

Introduction Water is one of the most precious resources needed for the sustenance of life. However, only 2% of the global water supply is suitable for human consumption. The United States Environmental Protection Association (EPA) estimates that 1.7 trillion gallons, roughly 30 percent of all treated water, is wasted every year in the United States. […]

Build an efficient development environment for AWS IoT Greengrass

Introduction This post shows you how to set up a clean and efficient development environment for AWS IoT Greengrass. With this environment you can rapidly iterate on your ideas and automate your process to build edge compute systems from scratch. Building a repeatable development environment for edge systems can take a long time. These tools […]

Digital Twins on AWS: Driving Value with L4 Living Digital Twins

Introduction In working with customers, we often hear of a desired Digital Twin use case to drive actionable insights through what-if scenario analysis. These use cases typically include operations efficiency management, fleet management, failure predictions, and maintenance planning, to name a few. To help customers navigate this space, we developed a concise definition and four-level […]

Building an EV Battery Monitoring solution with AWS IoT FleetWise (Part 1/2)

Introduction Automakers, fleet operators, and automotive suppliers are recognizing the potential of vehicle data to transform their business models and optimize their operations. However, implementing data-driven use cases is often challenging. Proprietary vehicle data formats, high costs of data ingestion and implementation complexity can slow down innovation. AWS IoT FleetWise is a service that makes […]

Monitoring your IoT fleet using CloudWatch

Introduction In this blog we will show you how to monitor your IoT (Internet of Things) fleet and alert when conditions reach or exceed normal thresholds that you consider to be normal operational limits. We will go through the steps to setup Amazon CloudWatch dashboards based on AWS IoT metrics, create alarms from metrics, and […]

Managing Organizational Transformation for Successful OT/IT Convergence

Introduction Industrial organizations are facing a new challenge as they try to merge the traditional physical world (Operational Technology or OT) and the digital world (Information Technology or IT). In our experience, companies who prioritize organizational change management when implementing digital solutions get better results from their investments. This is even more true when building […]

Implementing time-critical cloud-to-device IoT message patterns on AWS IoT Core

Introduction Widely adopted Internet of Things (IoT) communication standards for device-to-cloud and cloud-to-device are typically asynchronous, enabling event-driven patterns to ensure resilience, cost savings, and failure tolerance. However, customers across industries need to enable synchronous communication patterns to ensure time-critical logic in their edge devices. Automotive manufacturers, for example, want their connected vehicles to be […]

How Trend Micro improved their velocity and agility using AWS IoT Core Device Advisor

Introduction Developing an IoT device or client can be a significant undertaking. Development efforts, ranging from design, prototyping, testing, quality assurance and more, can take months, if not years. Improving the development velocity and agility is obviously attractive for product cost and time-to-market. However, any acceleration should not compromise on quality, and deliver a device […]