In-Memory Computing - The Big Picture
summary
Claims that keeping data as Java object graphs in memory and serializing only deltas yields dramatic speedups: a 250 GB bookstore demo shows up to 1,000x faster queries versus a JPA/Hibernate stack, because ORMs and cache serialization often double query time or add millisecond delays. Implementation uses MicroStream (Java 8+, GraalVM and Android support), stores blobs to S3, and runs a single-JVM mode now extended to a cluster; storage cost example: S3 $70/yr for 250 GB.
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chapters (8)
- 0:00Start
- 5:52Latency Numbers Every Programmer Should Know
- 10:04Traditional Database Server Concept
- 10:21Traditional Database Server - Behind the Scenes
- 13:11Traditional Java Persistence - The Core Problem
- 25:07In-Memory Data Grid
- 28:13In-Memory Database Cluster
- 46:05Traditional vs. MicroStream Cluster
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