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# Getting Started with Spring Cloud Data Flow | ||
A Spring Cloud Data Flow workshop on Kubernetes. | ||
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1. The workshop is primarily geared towards the students who attend the [SCDF workshop at SpringOne 2020](https://springone.io/2020/workshops/spring-cloud-data-flow). | ||
2. Students will use the [Strigo](https://strigo.io/) platform to learn how to prepare the environment and exercise SCDF's feature capabilities on Kubernetes. | ||
3. Instructions: [![HackMD documents](https://hackmd.io/badge.svg)](https://hackmd.io/MYhmNBEoRvOKW57_W49z2g) | ||
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## Applications | ||
1. [`trucks`](https://github.com/sabbyanandan/SpringOne2020/tree/master/thumbinator) — generates truck data in random interval | ||
2. [`brake-temperture`](https://github.com/sabbyanandan/SpringOne2020/tree/master/brake-temperature) — computes moving average of truck's brake temperature in 10s interval | ||
3. [`brake-logs`](https://github.com/sabbyanandan/SpringOne2020/tree/master/brake-logs) — logs the computed moving-average in real-time | ||
4. [`thumbinator`](https://github.com/sabbyanandan/SpringOne2020/tree/master/thumbinator) — a task/batch-job that creates thumbnails from images | ||
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TODO | ||
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TODO | ||
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TODO |