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Data Streaming at the Edge

Stream, process, connect and govern data in edge locations, and replicate data across hybrid cloud architectures to power a range of operational and analytical use cases.

Unlock Data Streaming at the Edge with Confluent

Data streaming at the edge allows applications to handle large volumes of heterogeneous data in environments with unreliable network connectivity. This unlocks a range of operational and analytical use cases, from predictive maintenance in IIoT settings to on-board (e.g., ship or train) booking systems.

Confluent empowers organizations to easily deploy and manage data streaming in edge locations, enabling them to:

Deliver real-time use cases in remote locations

Elastically scale streaming data pipelines

Create a bridge to a unified hybrid edge architecture

Build with Confluent

This use case leverages the following building blocks in Confluent:

Reference Architecture

Edge Arch 2

Connect

Data is ingested to Confluent Platform via connectors, Kafka producers, or directly from event-driven applications

Stream

Data is processed on the edge device with Apache Flink® or the Kafka Streams API for Confluent Platform, before being synced (if necessary) to Confluent Cloud via cluster linking.

Govern

Confluent Health+ provides intelligent alerts and monitoring, and enables proactive support to ensure cluster health and minimize business disruptions.

Resources

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