Distributed Service Bundles for Cloud Foundry - Krishanu Biswas, SAP
summary
A prototype shows a single distributed service bundle provisioning and operating Postgres, Kafka and Redis as one unit via a Service Fabric broker, handling binding, credentials and monitoring so constituent services communicate (Debezium extracts DB change events into Kafka, a sentiment app consumes them). The CF marketplace lists the composite, CF create-service/CF update-service adds Redis live, the dashboard shows CPU/memory and the demo returns 1,542 positive and 372 negative tweets, proving the approach works as a POC.
AI-written summary · about
chapters (12)
- 0:00Introduction to talk
- 1:04Distributed applications in Cloud Foundry
- 3:14Change data capture pipeline concept
- 6:04Need for composite services
- 7:28Introducing Service Fabric
- 12:24Service Fabric capabilities
- 13:51Demo setup overview
- 14:16Creating distributed service bundle
- 17:34Monitoring the service bundle
- 19:20Updating service composition
- 20:52Use cases and feedback
- 24:30Q&A and closing remarks
related talks
01h 26mCloud Native Java with Spring Cloud Services
20mHow to Build a High Performance App Using Cloud Foundry and Redis
26mWriting Cloud Native Applications to Execute on Cloud Foundry
19mLeverage Existing Enterprise Data as Cloud Foundry Services
31mDeploying Microservice Architectures with Cloud Foundry
31mCloud Foundry and Microservices: A Mutualistic Symbiotic Relationship
29mIntro to Development of Java Spring Microservices with Cloud Foundry
37mJava Microservices at Scale on Cloud Foundry, Today and Tomorrow