The Java Cloud-Native Stack for Microservices and Serverless Architecture
summary
Claims a Java-native persistence stack that replaces ORMs and costly cloud databases with Eclipse Store (object-graph storage) and Eclipse Data Grid (horizontally scalable layer), serializing objects via the Eclipse serializer, supporting S3 blobs, ACID transactions, lazy loading and indexing. A 250 GB bookstore demo reports fetches 10–1000x faster than JPA+Postgres+cache and promises up to 98% cloud DB cost savings and 1000x faster in-memory query performance. Startup targets ~500 ms per JVM instance.
AI-written summary · about
chapters (24)
- 0:00Java cloud-native stack intro
- 1:53Speaker background
- 2:56Monoliths to microservices
- 4:22Cloud-native architecture
- 5:50Traditional Java challenges
- 7:42Micro runtimes overview
- 8:46JVM optimization
- 10:15Serverless computing
- 12:02Microservice persistence
- 13:48Object-relational mapping limitations
- 16:58Caching costs complexity
- 18:43Enterprise data complexity
- 20:34Alternative persistence
- 22:27Eclipse Store intro
- 25:44Cost vs databases
- 27:08Java performance
- 28:56Performance demo
- 30:40Eclipse Store serialization
- 32:52Single-JVM use cases
- 34:39Eclipse Data Grid intro
- 37:09Moving complexity to Java
- 39:55Database trade-offs
- 41:00Native persistence benefits
- 42:03Learning resources
related talks
43mEclipseStore - Ultra-Fast Java Cloud-Native Persistence for Microservices and Serverless
53mHigh Performance Java Cloud Native Apps
56mEclipseStore - Databaseless Java Cloud Native Persistence for Microservices
44mCaching Unleashed: Revolutionizing Java Performance
22mEclipseStore – The new, ultra-fast Java persistence for the cloud
55mDatabaseless High-Performance Persistence with EclipseStore...
01h 00mEclipse MicroStream - Ultra-fast Java cloud-native persistence for microservices
54mEclipse MicroStream - Ultra-Fast Java Cloud-Native Persistence for Microservice