Building Data-Driven IoT Apps on Cloud Foundry - Dormain Drewitz, Pivotal
summary
Argues that Cloud Foundry can host the core of data-driven IoT pipelines, using a microservice streaming model with concrete tools: Spring Cloud Data Flow for orchestrating streaming and batch stages, messaging via Kafka/RabbitMQ/Solace, caching with Pivotal Cloud Cache (Apache Geode) as the “hidden” microservice and persistence to Greenplum/Cassandra. Cites CoreLogic and Cardinal Health deployments, notes edge gateways push some processing outward, and shows how short-lived functions (e.g. AWS Lambda) can run alongside long‑running Spring Boot services.
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chapters (7)
- 0:00Introduction and agenda
- 2:29Cloud Foundry for IoT apps
- 8:10Event-driven architectures explained
- 17:29Caching in microservices
- 23:11Integration beyond IoT data
- 25:18Bringing it all together
- 31:59Q&A and resources
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