Spring Integration, Batch, and Data Lightning Talks
summary
Ten brief demos show working prototypes and concrete tooling: a Groovy DSL snapshot works for building Spring Integration flows; a client library "clicks" plus browser clicks + websocket bridge pushes DOM events over SockJS/WS (local realtime, Cloud Foundry falls back to long polling); a SockJS-over-TCP prototype uses Spring Integration serializers; a Spring Data REST R-shell provides HATEOAS-driven CLI commands; a file‑based modular flow/batching runtime wires adapters to Rabbit, Redis, HDFS and runs MapReduce tag counts into a live tag cloud; Salesforce and Splunk adapters exist as GitHub prototypes.
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chapters (9)
- 0:00Introduction to lightning talks
- 1:38Groovy DSL for Spring Integration
- 11:58JavaScript integration with Spring
- 22:35WebSocket support in Spring Integration
- 31:57Spring Data REST and R shell
- 49:21Modular Spring Integration flows
- 1:06:48Salesforce adapters demo
- 1:15:12Splunk adapter for Spring Integration
- 1:21:00Q&A and closing remarks
