Webinar: Decomposing Applications for Deployability and Scalability

on YouTube ↗01h 22m

" summary

Argues that breaking a monolithic WAR into narrowly focused, independently deployable services improves deployability and scalability: use the scale cube to split UI (HTML5) and back-end services, expose REST or AMQP/RabbitMQ queues, and apply Spring and message brokers for decoupling. Cites Netflix at ~30% of US internet traffic and a billion API calls/day (six backend calls per API → ~6 billion calls) to justify patterns like timeouts, bounded thread pools and circuit breaker. Recommends Cloud Foundry for one-command provisioning, services (Redis, RabbitMQ), and simple scaling.

AI-written summary · about

" chapters (32)

1. 0:00Intro
2. 0:13Presentation goal
3. 0:55About Chris
4. 3:08Traditional web application architecture
5. 4:54Intimidates developers
6. 5:37Obstacle to frequent deployments Need to redeploy everything to change one component
7. 6:44Overloads your IDE and container
8. 7:35Obstacle to scaling development
9. 8:37Requires long-term commitment to a technology stack
10. 11:58Partitioning strategies
11. 14:32Real world examples
12. 20:02Two levels of architecture
13. 22:49Can we build software systems with these characteristics?
14. 23:38Example: standalone app
15. 23:54Example service: NodeJS node
16. 24:09Example service: Sinatra
17. 24:24Service deployment options
18. 27:10Cloud Foundry features
19. 28:15Benefits of PaaS
20. 29:43Inter-service communication options
21. 33:25Synchronous REST
22. 33:58Pros and cons of REST
23. 36:58Spring HATEOAS
24. 37:17The Spring REST shell $rest-shell
25. 37:57The need for parallelism
26. 39:06Futures are a great concurrency abstraction
27. 42:14Spring Integration
28. 42:29Handling partial failures
29. 44:06How to run out of threads
30. 45:35Their approach
31. 49:28Apply the scale cube
32. 49:45Cloud Foundry helps

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