Tag: AWS IoT

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 […]

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 […]

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 […]

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 […]

Introduction This post is the second of the series on how to use AWS IoT TwinMaker to create a digital twin of a Raspberry Pi device connected to a sensor that collects temperature and humidity data, and integrate it with an Amazon Managed Grafana dashboard. This allows users to visualize the 3D environment where the […]

Introduction A digital twin is a living digital representation of a physical system that is dynamically updated to mimic the structure, state, and behavior of the physical system to drive business outcomes. Building one is usually not an easy task – to solve this challenge, we launched a new service, AWS IoT TwinMaker. AWS IoT […]

Introduction In the first part of this blog series Create insights by contextualizing industrial equipment data using AWS IoT SiteWise (Part 1) we focused on asset modelling and real-time analytics in AWS IoT SiteWise. We created a dashboard in AWS IoT SiteWise Monitor to get a real-time overview of our furnace heating cycles. But we […]

Introduction More and more customers in the manufacturing industry want to collect data from machines and robots located in different facilities into a centralized AWS cloud-based IoT data lake. But the data produced by industrial equipment is often raw data points like temperature and pressure time series. Feeding those raw data streams directly into your […]

As computing power extends into Internet of Thing (IoT) devices, software becomes more and more crucial to making decisions, processing data, and providing insight to end users at the device. Devices are the backbone of many businesses and applications. Regardless of the use case, customers benefit from quick, widespread deployment of software updates and improvements […]

Introduction In connect vehicles applications, telemetry data is usually very extensive, containing structure and unstructured data. To send data over to the Cloud you can use Protocol Buffers (Protobuf – binary format). Protobuf provides the application with an efficient yet well structured compressing mechanism. The built-in protocol documentation makes data serialization and deserialization more manageable […]