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Spring Boot caching integration

This document provides an overview of resources and strategies for implementing caching within Spring Boot applications, specifically focusing on high-performance libraries and multi-level architectures.^[600-developer__principle__cache.md]

Implementation Resources

The following references are available for understanding specific library integrations:

  • Caffeine Cache: A high-performance, near-optimal caching library.
  • Multi-level Cache Strategy: A practical guide on implementing a two-tier caching architecture using [[Redis]] for distributed caching and Caffeine for local caching.^[600-developer__principle__cache.md]

Performance Context

Integrating caching is driven by the significant performance disparity between system resources. Network operations are approximately 100 times slower than in-memory operations.^[600-developer__principle__cache.md] Furthermore, the mechanics of physical storage dictate that the time cost of a single hard disk seek operation is roughly equivalent to reading 2MB of data from memory (ratio 1:2).^[600-developer__principle__cache.md]

Sources

^[600-developer__principle__cache.md]