In this talk we will walk through how to build event streaming applications as functions running in with cloud native messaging via Apache Pulsar that run on near infinite scale in any cloud, docker or K8. We will show you have to deploy ML functions to transform real-time data for IoT, Streaming Analytics and many other use cases. After this talk you will be able to build Java microservices with ease and deploy them anywhere utilizing the open source unified streaming and messaging platform, Apache Pulsar. Finally, we will show you have to add dashboards with Web Sockets, no code data sinks, integrate with Apache NiFi data pipelines, SQL Reports with Apache Spark and finally continuous ETL with Apache Flink. I have built many of these applications for many organizations as part of the FLiPN Stack. Let's build next generation applications today regardless if your data is REST APIs, Sensors, Logs, NoSQL Sources, Events or Database tables.

https://github.com/tspannhw?tab=repositories&q=FLiP&type=source