Category: Storage

Introduction Building a resilient path to post-pandemic recovery requires adaptability to dynamic trends. Therefore, many logistics leaders use predictive analytics to drive supply chain decisions, improve internal operational processes, meet regulatory compliance, and reduce transportation maintenance costs. Use cases for advanced predictive analytics in logistics include transportation management, fleet management, last-mile delivery, and visibility into […]

Introduction The Internet of Things (IoT) industry is trending towards devices that are compatible with the latest standards, interfaces, and protocols. To remain competitive, device manufacturers have to release new features, perform system updates, and deploy security patches in a timely manner. Software applications have long been using automated continuous integration and delivery (CI/CD) pipelines […]

Introduction Today, we are excited to announce that AWS IoT FleetWise now supports object storage in Amazon Simple Storage Service (Amazon S3). This new feature makes it easy and cost-effective for automotive customers to create and manage data pipelines from their vehicles. A customer can now select where vehicle data is persisted in the cloud depending […]

Introduction When sending data from Internet of Things (IoT) devices to a data lake, you may need to enrich the device data payload with additional metadata in the cloud for further data processing and visualization. There are multiple reasons this data might not exist in the device payload, such as minimizing the device payload in […]

Introduction One of the major barriers to Industrial IoT (IIoT) adoption is integrating modern IIoT solutions in brownfield environments with legacy components and systems. These legacy industrial components and systems could be 20, 30, 40 years old and are less capable of supporting modern security standards. Physically connecting legacy industrial systems to the cloud can be […]

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 […]

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 […]

This blog post introduces a real case from a world-class commercial IoT service provider that uses AWS IoT to run its telemetry data analytics business that fulfills diverse and real-time data analysis requirements for clients. The key challenge the business faced was ingesting telemetry data in different formats to AWS IoT and generating real-time data […]

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. We defined Digital Twin as “a living digital representation of an individual physical system that is dynamically updated with data to mimic the true structure, state, and behavior of the […]

Introduction Competitive environments generally result in bottom line pressure for manufacturers, driving leadership to explore additional innovations for revenue growth such as implementation of Industrial Internet of Things(IIoT) solutions. In this post, we discuss how to secure network traffic between a device running AWS IoT Greengrass on your Operational Technology (OT) network and your Internet […]