BigMemory — working with hundreds of millions of business objects
summary
Describes using very large amounts of RAM to hold hundreds of millions of business objects inside managed runtimes, addressing the problem that garbage-collected environments typically leave extra memory unused and force teams to rely on external stores like Memcached. Presents an approach to keep data in-process despite GC constraints to avoid the costs of external data stores.
AI-written summary · about
chapters (7)
- 0:00Start
- 5:05Applying BigMemory
- 17:15Fighting GC
- 24:55Serialization
- 30:28Slim Serializer
- 37:39Pile Architecture
- 43:14Using Pile - Cache
related talks
51mIn-Memory Computing - The Big Picture
48mIn-Memory-Computing - The Big Picture
01mIn-Memory Computing — The Big Picture
57mJava In-Memory Database-Apps with EclipseStore
47mDesigning Great Java In-Memory Object Models
06mEarly experience of Utilizing Persistent Memory for Database... (Work-in-Progress Report)
44mJava In-Memory Database-Apps with MicroStream
32mJava's Ignored Potential: Supercharge Database Apps with Java In-Memory Process