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Spring Office Hours
Dan Vega & DaShaun Carter
95 episodes
5 days ago
Join Dan Vega and DaShaun Carter as they explore what’s new in the world of Spring. This is your chance to stay connected to what’s happening with the Spring Framework, related projects, and the community.
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All content for Spring Office Hours is the property of Dan Vega & DaShaun Carter and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Join Dan Vega and DaShaun Carter as they explore what’s new in the world of Spring. This is your chance to stay connected to what’s happening with the Spring Framework, related projects, and the community.
Show more...
Technology
News,
Tech News
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S4E19 - Spring & Redis with Raphael De Lio
Spring Office Hours
1 hour 2 minutes
3 months ago
S4E19 - Spring & Redis with Raphael De Lio

Join Dan Vega and DaShaun Carter for the latest updates from the Spring Ecosystem. In this episode, Dan and DaShaun are joined by Redis Developer Advocate, Raphael De Lio. Join us as we explore Redis’s ever-growing role in the Spring ecosystem.  We will look discuss its common and foundational use cases, then dig into new and exciting use cases, including similarity search, the cutting-edge vector data type, and how Redis is becoming a key player in AI-driven solutions. Get ready to discover the latest ways Spring developers are leveraging Redis to build highly performant and intelligent applications. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.

Key Takeaways

What is Redis?

  • Originally created in 2009 as a fast, horizontally scalable database
  • Known primarily for caching, but it's actually a full database with persistence and transactions
  • Redis 8 is now open source again with massive performance improvements (87% faster execution, 2x higher throughput)

Beyond Caching: Redis Use Cases

  • Vector databases for AI applications (semantic search, caching, routing)
  • Time series data for real-time analytics
  • Geospatial indexing for location-based features
  • Probabilistic data structures (Bloom filters, count-min sketch) for high-scale applications
  • Streams for message queues and real-time data processing
  • Session storage for distributed applications

AI & Vector Database Applications

  • Semantic caching: Cache LLM responses using vector similarity (can reduce costs by 60%)
  • Semantic routing: Route queries to appropriate tools without calling LLMs
  • Memory for AI agents: Short-term and long-term conversation memory
  • Recommendation systems: Power Netflix/YouTube-style recommendations

Getting Started with Spring

  • Use start.spring.io with Docker Compose for easy setup
  • Spring Data Redis for basic caching with @Cacheable
  • Redis OM Spring for advanced features (vector search, JSON, etc.)
  • New annotations: @Vectorize and @Indexed for automatic vector embeddings

Upcoming Events

  • Spring One - 6 weeks away in Las Vegas
  • Redis Hackathon - July 23rd via dev.to/challenges

Links & Resources

  • Redis
  • Redis OM Spring
  • Redis YouTube Channel
  • Spring One Conference
  • Start Spring IO

Connect with Raphael DeLeo

  • Email: rafael.deleo@redis.com
  • LinkedIn: Raphael DeLeo
  • GitHub: raphaeldelio 
  • Blue Sky: raphaeldelio.dev 

Redis vs Valkey discussion included - Redis 8 returns to open source with significant performance improvements and integrated modules that were previously separate.

Spring Office Hours
Join Dan Vega and DaShaun Carter as they explore what’s new in the world of Spring. This is your chance to stay connected to what’s happening with the Spring Framework, related projects, and the community.