Spring Office Hours

Dive into the exciting advancements of Spring Framework 7 and Spring Boot 4! Discover the new null safety features that reduce runtime errors and how teams can adopt them progressively. Learn about the enhanced REST test client that simplifies API testing and the importance of built-in API versioning for enterprise consistency. Get insights on programmatic bean registration and the latest upgrades in associated ecosystem projects like Spring Security and Jackson 3. There's plenty to explore for anyone interested in Spring's evolution!

Join Spring Security expert Daniel Garnier-Moiroux as he unpacks the world of MCP server security. With a focus on OAuth2 and API key integrations, he emphasizes the importance of secure public MCP servers to protect sensitive data. Daniel discusses the evolution of the MCP specification around security, best practices for implementing authorization, and the role of tools like the MCP Inspector for testing OAuth flows. Whether you're building enterprise applications or exploring new projects, Daniel's insights are crucial for a secure Spring AI ecosystem.

In this engaging discussion, Billy Korando, a Java Developer Advocate at Oracle, dives into the latest features of Java 25. He shares insights on Project Loom's virtual threads and structured concurrency, and explores the innovations of Valhalla, including the Vector API. Billy also highlights Project Leiden's caching benefits and compares it to GraalVM and other startup solutions. With a focus on new developer onboarding through compact source files, he unwraps the exciting advancements shaping the future of Java.

Guillaume Laforge, co-founder of the Apache Groovy programming language and Developer Advocate at Google Cloud, shares his journey from Groovy's inception to the forefront of serverless tech and generative AI. He discusses Groovy's seamless Java integration and its practical applications in tooling like Gradle and Jenkins. Guillaume highlights how Java developers are embracing AI and the essential criteria for evaluating large language models. With insights on the Agent Development Kit and the latest Java features, he shows how coding is evolving in the AI landscape.

Join Dan Vega and DaShaun Carter as they welcome special guests, Spring Team Member Glenn Renfro. In this episode, we'll continue to look forward to SpringOne. Tune in live to ask your questions or catch the replay later on your favorite podcast platform.

In this episode, Josh Long, a Spring Developer Advocate, shares his insights on the exciting future of Spring Framework 7 and Spring Boot 4. He elaborates on the benefits of the Bean registrar mechanism and discusses the innovations brought by Spring AI. The conversation touches on the use of Cloud Code for upgrading Java versions and the growing importance of community engagement ahead of the Spring One conference. Listeners will also appreciate tips on coding efficiency and the evolution of Java, making this a must-listen for developers!

Broadcasting live from a vibrant tech conference, the hosts dive into the latest buzz around Spring Boot 4 M1 and Spring Framework 7 M8. They discuss the evolution from Spring Boot 3.x to 4.0, highlighting key features like structured logging and API versioning. The conversation also touches on revitalizing the tech community post-COVID and maximizing AI tools for writing and coding. Engaging anecdotes from the live event add a personal touch, making tech insights feel fun and relatable.

Dive into the exciting world of Spring development as the hosts preview the upcoming VMware Explore / SpringOne conference. Discover key presentations, essential workshops, and tips for maximizing your conference experience. Explore innovations in null safety and AI tools that streamline workflows, while also learning about efficient onboarding practices that boost team productivity. Catch a sneak peek of game-changing demos and gain insights into API versioning as the future of software development unfolds.

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 NotesRegister 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 TakeawaysWhat is Redis?Originally created in 2009 as a fast, horizontally scalable databaseKnown primarily for caching, but it's actually a full database with persistence and transactionsRedis 8 is now open source again with massive performance improvements (87% faster execution, 2x higher throughput)Beyond Caching: Redis Use CasesVector databases for AI applications (semantic search, caching, routing)Time series data for real-time analyticsGeospatial indexing for location-based featuresProbabilistic data structures (Bloom filters, count-min sketch) for high-scale applicationsStreams for message queues and real-time data processingSession storage for distributed applicationsAI & Vector Database ApplicationsSemantic caching: Cache LLM responses using vector similarity (can reduce costs by 60%)Semantic routing: Route queries to appropriate tools without calling LLMsMemory for AI agents: Short-term and long-term conversation memoryRecommendation systems: Power Netflix/YouTube-style recommendationsGetting Started with SpringUse start.spring.io with Docker Compose for easy setupSpring Data Redis for basic caching with @CacheableRedis OM Spring for advanced features (vector search, JSON, etc.)New annotations: @Vectorize and @Indexed for automatic vector embeddingsUpcoming EventsSpring One - 6 weeks away in Las VegasRedis Hackathon - July 23rd via dev.to/challengesLinks & ResourcesRedisRedis OM SpringRedis YouTube ChannelSpring One ConferenceStart Spring IOConnect with Raphael DeLeoEmail: rafael.deleo@redis.comLinkedIn: Raphael DeLeoGitHub: 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.