Ahorra un 25 % (o incluso más) en tus costes de Kafka | Acepta el reto del ahorro con Kafka de Confluent
Smart Cities
Stream, process and govern IoT data from a wide range of IoT sensors across public and private networks in order to power smart city applications.
Deliver Smart City Applications with Data Streaming
Smart City applications rely on the availability of high-quality, timely data generated from a range of IoT sensors. Whether a city is looking to improve its emergency response times with adaptive navigation or increase the efficiency of its waste collection services, the availability of sensor data in soft real time is critical.
Confluent’s data streaming platform (DSP) enables organizations to stream, process, and govern sensor data in order to power Smart City applications. With Confluent as the backbone of their applications, organizations are able to:
Respond in real time to events – Powered by the Kora engine, Confluent streams and processes data at a sufficiently low latency for most Smart City applications.
Integrate with a broad range of technologies – Based on Apache Kafka, Confluent is widely integrable with enterprise technologies.
Keep services running – Confluent scales elastically to meet variable throughput and provides various disaster recovery mechanisms, meaning that applications can continue to run even in the event of a pipeline failure.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Reference Architecture
Example: Adaptive Navigation for Emergency Vehicles
Data streamed from CCTV, IoT sensors, and incident reports to Confluent Cloud via pre-built connectors (e.g., MQTT source connector).
Apache Flink used to integrate disparate streams of sensor, location, and camera data.
Processed streams synced back into a route recalculation service.
Re-calculated routes streamed via back to vehicle on-board navigation system.