The Internet of Things on AWS

Introduction Amazon Kinesis Video Streams provides powerful solutions for cloud-based video management in physical security and surveillance organizations. While organizations need continuous recording capabilities, traditional storage approaches often lead to increased costs. Kinesis Video Streams excels at real-time video management and short-term storage, serving enterprise deployments with extensive camera networks. Now, the innovative Kinesis Video

December 2025 marks ten years since AWS for Internet of Things (AWS IoT) set out to connect the physical world to the digital world. Today, hundreds of millions of devices connect to AWS IoT services daily, enabling organizations to extract real-time insights, automate processes, and unlock entirely new business models across virtually every industry. This

Introduction In today’s digital world, Internet of Things (IoT) security and compliance continues to evolve. The European Union’s Cyber Resilience Act (CRA) is reshaping how IoT manufacturers, developers, and service providers approach their work. Let’s explore what this means for AWS IoT customers and manufacturers using connected devices. Understanding the CRA’s impact The CRA was enacted on

Amazon Sidewalk is a shared, community-sourced network that leverages existing Amazon Echo and Ring devices as gateways to provide secure, low-power connectivity for IoT devices—enabling applications ranging from asset tracking and smart home security to remote diagnostics for appliances and tools. AWS IoT Core for Amazon Sidewalk device management is evolving to meet the needs

Technical and marketing teams working on internet of things (IoT) programs, sooner or later, manage a project that requires data flow between a fleet of devices and the cloud. This data is critical because marketing wants to provide more features to the users, business teams require data driven decisions, and technical teams work to optimize

Introduction Modern manufacturers face an increasingly complex challenge: implementing intelligent decision-making systems that respond to real-time operational data while maintaining security and performance standards. The volume of sensor data and operational complexity demands AI-powered solutions that process information locally for immediate responses while leveraging cloud resources for complex tasks.The industry is at a critical juncture

Edge computing downtime in industrial IoT environments can be both inconvenient and costly. Systems at the edge require continuous operation to maintain business continuity. While AWS IoT Greengrass delivers powerful edge computing capabilities, achieving true enterprise-grade high availability requires additional orchestration. This post shows how to use Pacemaker, a cluster resource manager, to build resilient

AWS IoT Core is a managed service that helps you to securely connect billions of Internet of Things (IoT) devices to the AWS cloud. The AWS IoT rules engine is a component of AWS IoT Core and provides SQL-like capabilities to filter, transform, and decode your IoT device data. You can use AWS IoT rules

With over 470 million connected cars expected by end of 2025, protecting sensitive vehicle data, particularly Vehicle Identification Numbers (VINs), has become crucial for automakers. VINs serve as unique identifiers in automotive processes from manufacturing to maintenance, making them attractive targets for cybercriminals. This post explores how automakers can help securing VINs in connected vehicle

Physical AI: Intelligence that acts in the real world Physical AI differs from traditional AI by directly interacting with and manipulating the physical world. While traditional AI processes data and generates text on screens, Physical AI enables robots, self-driving cars, and smart systems to perceive, understand, and act in real multi-dimensional environments. The key difference:

Introduction In today’s highly connected modern world, Internet of Things (IoT) devices are transforming how we interact with our homes, offices, and industries. Smart technology now extends from homes to cars and industrial equipment. Controlling these devices remotely is essential and offers improved productivity, user experience, and risk management. This blog explores how to send

Artificial Intelligence (AI) at the edge is popular among smart video devices. For example, Smart Home cameras and video doorbells revolutionized home monitoring. What began as simple recording and remote viewing tools has evolved into intelligent observers. With AI infusion, today’s cameras can actively analyze scenes, alert users to motion events, recognize familiar faces, spot

AWS is pleased to introduce an update to the AWS Well-Architected Framework: IoT Lens. The IoT Lens provides simple and detailed guidance to build IoT workloads on AWS. This updated version aims to address questions around complexity, security, performance, cost, and technical risk. Introduction Designing Internet of Things (IoT) workloads can be challenging as sensors,

Seamlessly transferring data between cloud and edge devices is crucial for IoT applications across various industries, such as healthcare, manufacturing, autonomous vehicles, and aerospace. For example, it enables aircraft operators to seamlessly transfer software updates to aircraft fleets, eliminating the operational burden of manual updates with physical storage devices. By leveraging AWS IoT and Amazon

In today’s digital enterprise landscape, organizations increasingly rely on asset management solutions to streamline their operations. Companies often find themselves managing the same physical assets across multiple IT and operational technology (OT) systems. One of the services that help IT teams track and manage enterprise IT assets is ServiceNow. This service handles everything from hardware

Large-scale IoT fleet migrations to the cloud represent one of the most complex technical transformations that organizations face today. While the benefits of cloud migration are clear, the path to successful implementation requires careful planning and execution. In a previous blog post we elaborated on key reasons to migrate to AWS IoT Core. In this

AWS IoT Greengrass is an open-source edge-runtime and cloud service that helps you build, deploy, and manage multi-process applications at scale and across your IoT fleet. AWS IoT Greengrass released V2 in December 2020 with a Java edge runtime known as a nucleus. With release 2.14.0 in December 2024, we introduced an additional edge runtime option, nucleus

After announcing the preview of managed integrations for AWS IoT Device Management on March 3rd, 2025, we are excited to share that the capability is now generally available, enabling developers to streamline cloud onboarding of IoT devices and unify device control across multiple brands and protocols. While IoT technology has been widely used in consumer

As Internet of Things (IoT) devices become increasingly pervasive in the home, device owners often find the need to grant fine-grained access to multiple users. AWS IoT Core enables developers to build applications with fine-grained access control across mobile apps, web apps, and devices. For example, IoT enables personalized experiences in smart spaces and hotels,

Introduction You may be starting on your IoT journey, or have thousands of devices connected already. Maybe you just built an IoT business application, and want to deploy it to your fleet. You’re looking for a way to build functionality to control, update, monitor, or secure your IoT devices. To guide you through this process