Join Dan Vega and DaShaun Carter for another exciting preview of SpringOne! This week, we're joined by our special guest, fellow Spring Developer Advocate, Josh Long.

This year's event promises to be bootiful. Josh will help us deliver another sneak peek into the most anticipated announcements, including the future of Spring Framework 7 and Spring Boot 4. We'll also dive into the latest on Spring AI!

Whether you're planning to attend in person or just want to stay on top of the latest innovations, this episode is your definitive guide to the must-see sessions and what's next for the Spring ecosystem. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.

Show Notes:

• Josh Long
• SpringOne

Join Dan Vega and DaShaun Carter broadcasting live from the Kansas City Developer Conference (KCDC)! In this special episode, the hosts share highlights from the conference and discuss Dan's sessions on MCP and Spring Boot 3. They dive into the exciting news of Spring Boot 4 M1 and Spring Framework 7 M8 releases, exploring what's new and what developers can expect. The team also answers live questions from the KCDC audience and online viewers about the latest developments in the Spring ecosystem.

Show Notes

• Kansas City Developer Conference

Join Dan Vega and DaShaun Carter for the latest updates from the Spring Ecosystem. In this episode, Dan and DaShaun preview the upcoming VMware Explore / SpringOne conference, sharing insights into what attendees can expect from this premier Spring community event. The hosts discuss their upcoming conference sessions, highlight key presentations and workshops worth attending, and provide tips for making the most of the in-person conference experience. Whether you're considering attending or want to stay updated on the latest Spring innovations being showcased, this episode will help you navigate the conference agenda and discover what's new in the Spring ecosystem. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.

Show Notes:

• SpringOne

Join Dan Vega and DaShaun Carter for a special community-focused episode of Spring Office Hours. In this hodgepodge session, the hosts dive into listener questions covering various Spring ecosystem topics. From troubleshooting common Spring Boot challenges to exploring emerging patterns and best practices, Dan and DaShaun provide practical insights and solutions. This interactive episode showcases the vibrant Spring community and addresses real-world development scenarios that matter most to viewers.

Show Notes

• Register for SpringOne

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.

Join Dan Vega with special guest Dan Dobrin, App Architect at Google, as they explore enterprise-ready Spring AI development using Google Gemini models. This episode covers the latest Spring AI features, caching strategies, unified SDK capabilities, and AI agents—moving beyond simple demos to real-world production implementations. Learn how to build fast, enterprise-grade AI applications with Spring and Google's powerful Gemini models.

Show Notes:

• Dan Dobrin on Twitter / X
• Dan Dobrin on LinkedIn
• Building Agentic AI the Google Way: MCP + A2A + ADK for Java
• Google Cloud and Spring AI 1.0

Join Dan Vega and DaShaun Carter for the latest updates from the Spring Ecosystem. In this episode, Dan and DaShaun are joined by Spring team member Dave Syer to explore the official Spring gRPC project. At the end of this episode, you will understand how Spring gRPC provides a Spring-friendly API for developing high-performance gRPC applications, including server and client autoconfiguration, Spring Boot integration, and streamlined Protocol Buffer handling. The hosts will demonstrate how to build gRPC services with Spring's familiar dependency injection patterns and discuss the benefits of gRPC's HTTP/2-based communication over traditional REST APIs. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.

Show Notes:

• Dave Syer on GitHub
• Dave Syer on Bluesky
• Spring gRPC