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Case Study of Batch Processing With Spring Cloud Data Flow Server in Cloud Foundry

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Replatformed RiskMeter implements batch runs as Cloud Foundry tasks orchestrated by Spring Cloud Data Flow Server using Spring Cloud Task + Spring Batch, with artifacts registered in Maven and inputs stored on EMC ECS (S3 API). Blue/green deployments run web and task smoke tests in parallel, then reroute traffic; completed CF task records are trimmed. Real-time progress uses RabbitMQ + WebSockets to an Angular front end. Team delivers the feature in about two months.

AI-written summary · about

  1. 0:00Introduction and agenda
  2. 3:22Batch processing need and design
  3. 6:15Technology stack selection
  4. 9:43Decomposing monolithic backend
  5. 12:15Implementing batch feature
  6. 18:37Lessons learned overview
  7. 20:28Deployment pipeline changes
  8. 24:19Data passing between systems
  9. 26:51Configuration management
  10. 28:39Demo introduction
  11. 29:03Live demo of batch processing
  12. 31:09Conclusion and Q&A
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