Redis is more than just a fast key-value store — it’s a powerful caching solution that can dramatically improve the performance and scalability of your Spring Boot applications. In this webinar, we’ll explore five Redis-powered caching strategies every Spring Boot developer should know, ranging from Hibernate’s built-in caching layers to advanced hybrid setups that combine in-memory and distributed caching for the best of both worlds.

You’ll learn:

• How First-Level and Second-Level Hibernate caches work, and how to back the second level with Redis
• The role of in-memory caching (Caffeine) for ultra-low latency
• How to implement distributed caching with Redis for multi-instance deployments
• Hybrid caching patterns that combine Caffeine (local) + Redis (distributed) with pub/sub invalidation
• Best practices, eviction policies, and common pitfalls to avoid with Redis caching

The session will feature live demos showing each caching strategy in action, along with practical configuration tips for integrating Redis into your Spring Boot projects. By the end, you’ll know exactly when and how to use Redis to build faster, more efficient, and highly scalable applications.

Duration: 60–90 minutes, including Q&A
Audience: Spring Boot developers, Java engineers, and architects