Implement Caching with Spring Caching (Caffeine + Redis)

Goal:
Introduce caching to improve performance and reduce database load. Use Caffeine for local development and Redis for distributed environments.

Estimated Time: 4–6 hours

Task Breakdown

1. Add Spring Caching Support

•  Add spring-boot-starter-cache to pom.xml
•  Enable caching via @EnableCaching in the config class

2. Configure Local Caffeine Cache

•  Add Caffeine dependency
•  Configure cache spec via application.yml
•  Test cache hit/miss behavior for selected methods

3. Configure Redis for Distributed Caching

•  Add Redis dependencies (spring-boot-starter-data-redis)
•  Use profile-based configuration to switch between local and Redis
•  Configure Redis connection via application-prod.yml or env

4. Apply Caching to Key Methods

•  Annotate service-layer methods with @Cacheable, @CacheEvict
  • Example: getUserById, getProjectById, searchIssues
•  Define sensible cache names and TTLs
•  Add conditional caching if needed

5. Validate Caching Behavior

•  Write integration tests to verify caching
  • Check initial call vs repeat call
•  Confirm that Redis keys are being stored correctly (when in prod profile)

🕒 Estimated Time: 4–6 hours

Subtask Estimates

Output Artifacts

• Local cache: Caffeine via @Cacheable
• Prod cache: Redis via profile-based config
• Configurable TTLs and cache regions
• Verified caching behavior in integration tests