The Internet of Things on AWS

Build an AI agent that autonomously orchestrates IoT firmware deployments. It plans risk-based waves, monitors rollout health, and makes proceed, pause, or rollback decisions through AWS IoT Jobs and Amazon Bedrock.

Learn how to use the AWS IoT Core connectivity management suite, spanning Fleet Indexing, real-time status and connection introspection APIs, subscription auditing, programmatic disconnect, lifecycle events, and CloudWatch dashboards, to gain complete visibility and control over your IoT device fleet’s connectivity without building custom infrastructure.

AWS IoT Core and AWS IoT Device Management offer several mechanisms to send commands, apply configuration, and control your devices. This post introduces five of them, using a smart bulb as an example, and provides a comparison matrix to help you select the right mechanism for your command, control, and configuration use case.

In this post, you will learn how to deploy Strands Agents as AWS IoT Greengrass components on a Raspberry Pi 5 to build an edge AI system for smart agriculture. The solution combines camera-based plant analysis through Amazon Bedrock, real-time soil moisture sensing, device monitoring, and a local web dashboard, all orchestrated by an AI agent running on the device.

Organizations managing IoT at scale face a critical business challenge: every hour of equipment downtime costs thousands in lost revenue, while untapped sensor data represents missed opportunities for operational optimization. Research shows that digital maintenance and reliability transformations can increase asset availability by 5–15 percent and reduce maintenance costs by 18–25 percent (McKinsey), translating to

In this post, you will learn how Stratasys built an edge-to-cloud IoT platform using AWS IoT Core and AWS IoT Greengrass to address industrial 3D printing challenges, how the architecture delivers measurable OEE improvements, and what AI-powered capabilities this data foundation will support next.

AWS IoT Core now supports direct messaging for point-to-point communication. Previously, sending a message to a single IoT device required publishing to an MQTT topic the device subscribed to, with no built-in delivery confirmation from the device. With the new direct messaging capability, you can send a message to any device connected to AWS IoT

In professional sports, the difference between winning and losing often comes down to fine margins. Teams across the globe are turning to data-driven insights to optimize athlete performance, mitigate injuries, and gain competitive advantages. Catapult Sports, is a sports technology company that empowers professional teams to make data-driven decisions. By using AWS IoT services, Catapult

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