Category: Amazon Simple Storage Service (S3)

Introduction In the ever-evolving digital landscape, the increasing number of Internet of Things (IoT) devices opens up new opportunities while highlighting the critical need to address cybersecurity challenges to ensure reliable services, data protection, and sustained growth. In this blog we will dive into the background of the US Cyber Trust Mark—a new program designed […]

This blog post introduces a real-world use case from Internet of Things (IoT) service providers that use Disaster Recovery for AWS IoT to improve the reliability of their IoT platforms. IoT service providers, especially those running high-reliability businesses, require consistent device connectivity and the seamless transfer of connectivity configurations and workloads to other regions when […]

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 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 […]

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 […]

Introduction Amazon Kinesis Video Streams (KVS) makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing. KVS automatically provisions and elastically scales all the infrastructure needed to ingest streaming video data from millions of devices. It durably stores, encrypts, and indexes video data in […]