Spring Boot multi-level caching with Redis and Caffeine
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Updated
Sep 7, 2026
#
two-level-cache
Here are 7 public repositories matching this topic...
High-performance cache for Go (in-memory/Redis/any storage), optimized for maximum throughput, with every known trick done right. Easy to use, yet configurable.
go redis golang caching memcached mongodb high-performance cache dynamodb generics tarantool golang-library aerospike redis-cache lru-cache two-level-cache singleflight in-memory-cache w-tinylfu s3-fifo
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Sep 6, 2026 - Go
Create a configurable two-level cache (for caching Objects). Level 1 is memory, level 2 is filesystem. Config params should let one specify the cache strategies and max sizes of level 1 and 2.
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Sep 6, 2026
Two-level cache for the JVM: L1 in-process (Caffeine) + L2 Redis/Valkey with cross-instance invalidation, stampede/avalanche protection, graceful degradation, and first-class observability
kotlin java redis caching microservices spring-boot jvm caffeine cache-invalidation two-level-cache valkey near-cache
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Sep 9, 2026 - Java
A configurable two-level cache (for caching Objects). Level 1 is memory, level 2 is filesystem. One can specify cache strategies and max sizes of both levels 1 and 2. Three cache replacement policies have been set: Least Frequently Used, Least Recently Used, Most Recently Used.
java memory-cache filesystem-cache cache-policy two-level-cache most-recently-used least-recently-used least-frequently-used
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Dec 19, 2025
Unified cache API for local memory, synchronized distributed memory, Redis, and L1/L2 caching with cross-node invalidation.
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Sep 1, 2026 - Go
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