Caching patterns for lazy devs for lazy loading
summary
Shows concrete patterns implemented with Redis Stack and Spring Data plus MySQL in Docker containers, including cache-aside, read-through, write-through and write-behind, and a demo using RedisGears interceptors to sync writes. Write-through end-to-end persistence takes about three seconds in the demo, write-behind returns under a millisecond while syncing asynchronously, refresh-ahead is shown and CDC based replication is described but not implemented, and the cache provider handles reads/writes so application code stays unchanged.
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chapters (10)
- 0:00Intro
- 0:55What is caching
- 8:21Lazy loading
- 10:37Rich room
- 11:24Right through
- 17:37Demo
- 18:05Preparation
- 21:54Demonstration
- 27:37Implementation
- 29:13Outro
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