AWS IoT Core is a managed cloud service that allows devices to securely connect to AWS, send and receive messages, and interact with cloud applications without managing infrastructure. It supports MQTT, HTTP, and WebSocket's protocols, providing seamless connectivity for millions of devices while ensuring security through authentication and authorization mechanisms.
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AWS IoT Device Management helps businesses register, organize, monitor, and remotely manage connected IoT devices at scale. It offers automated onboarding, software updates, and remote troubleshooting capabilities, making it easier to manage large fleets of IoT devices efficiently.
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AWS IoT Greengrass extends AWS capabilities to edge devices, enabling them to run local compute, messaging, data caching, and AI inference, reducing cloud dependency. It allows devices to operate even with intermittent connectivity, ensuring real-time decision-making and lower latency for industrial applications.
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AWS IoT Analytics is a fully managed service that processes, enriches, and analyzes IoT data for deeper insights, supporting advanced analytics and machine learning models. It automates data cleansing, transformation, and visualization, helping businesses detect trends and improve operational efficiencies.
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AWS IoT SiteWise is an industrial IoT service that collects, organizes, and analyzes data from industrial equipment, helping businesses improve operations and efficiency. It provides real-time monitoring dashboards and supports predictive maintenance strategies, reducing downtime and improving asset utilization.
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AWS IoT Events detects and responds to changes in IoT sensor data, enabling event-driven applications for predictive maintenance and anomaly detection. It uses condition-based monitoring to automatically trigger actions when predefined thresholds are met, helping businesses react to potential issues in real time.
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Amazon Kinesis Data Streams is a real-time data streaming service that allows continuous ingestion and processing of large volumes of IoT telemetry data. It enables real-time analytics, anomaly detection, and event-driven processing, ensuring that IoT applications can act on data with minimal latency.
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