Set your data streams in motion in the ocean!
summary
A 3D‑printed ship with a Raspberry Pi runs Apache Kafka, ksqlDB and Schema Registry on-device to record a temperature probe every second and materialize views and 30‑second windows, producing 72 readings in one interval. ksqlDB computes the percentage change and emits a warning when it exceeds 0.4%, triggering an LED warning sequence. Cluster linking replicates only one‑minute averages and warnings to Confluent Cloud, then a Splunk connector dashboards the aggregated data.
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chapters (8)
- 0:00Real-time data streaming on ships
- 3:57Shipboard demo architecture
- 7:06Raspberry Pi demo setup
- 11:19KSQL DB temperature processing
- 14:11Warning events from temperature spikes
- 16:16Linking ship data to Confluent Cloud
- 18:02Sending data to Splunk
- 19:25Summary and resources
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