Scaling Spring Boot Microservices

on YouTube ↗53m

" summary

How to make Spring Boot microservices scalable by addressing common blockers when simply running multiple instances: scheduled tasks, WebSocket handling, in-memory caches (ConcurrentHashMap or Spring Cache), and in-memory user sessions. The talk draws on real issues encountered while deploying the GridGain Control Center SaaS and describes practical tools and fixes to quickly resolve each of these problems.

AI-written summary · about

" chapters (12)

1. 0:00Introduction
2. 1:16Scaling problems
3. 3:02App demo
4. 5:12Scheduler fixes
5. 10:07Shadlock demo
6. 15:30Session fixes
7. 21:10Cache fixes
8. 27:17Redis sessions demo
9. 34:24WebSocket fixes
10. 39:00RabbitMQ integration
11. 49:16Key recommendations
12. 51:03Q&A

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