Oracle Code One 2019

Monday, Sep 23, 2019 | 1 minute read

Ricardo Ferreira

Last week I had the chance to attend one more time Oracle’s new developer’s conference know as Oracle Code One. It was so nice to catch up with great friends, plus being able to party with people from the Java community. They certainly know how to make things funny and entertaining.

Furthermore, I also had the chance to share a little about Apache Kafka in a talk that I delivered for a room full of developers interested in this technology.

The talk “Keep your Caches Hot with Apache Kafka and the Connector API” was very well accepted and I was glad to see that people liked. I had delivered this talk before in Kafka Summit New York and In-Memory Computing Summit in London, so I guess this time people get the chance to enjoy a more battle-proven demo. Here are the slides of the talk:

https://speakerdeck.com/riferrei/keeping-your-caches-hot-with-apache-kafka-and-the-connector-api

Looking forward to next year’s edition of the conference =)

Previous page Kafka Summit 2019 (San Francisco)
Next page Palestra "Abraçando a Anarquia: Design Patterns de Apache Kafka em Arquiteturas de Dados Modernas e Big Data" no QCon São Paulo

© 2018 - 2026 Ricardo Ferreira

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Open Source

I contribute to LangChain4j, an idiomatic open source Java library for building LLM-powered applications on the JVM. Recent work includes adding native vector search embedding stores so developers can build RAG, recommendation engines, and AI memory systems.

I also ported RedisVL to Go, an open source, AI-native client that brings vector search, semantic caching, LLM memory, semantic routing, rerankers, and an MCP server to the Redis ecosystem for Golang developers.

Speaking

I’ve been speaking at conferences since 2008 and doing it full time as part of my work since 2018. Some of the events I’ve spoken at include AWS re:Invent, Microsoft Ignite, Google Cloud Next, KubeCon, Oracle OpenWorld, QCon, Strange Loop, Kafka Summit, Pulsar Summit, JavaOne, DevNexus, JFokus, JNation, and All Things Open.

Recordings of my talks live on my YouTube channel, and the code I write for talks, demos, and tutorials is on my GitHub.

Who am I?

I work at the intersection of distributed systems, AI, and data infrastructure, turning complex technology into things developers can understand, adopt, and build with.

Lately, that means hands-on AI engineering: building vector search, semantic caching, agent memory, and RAG into the data layer; contributing to LangChain4j and RedisVL for Golang; and figuring out how to make AI agents secure enough to ship.

The AI-native work isn’t a pivot. It draws on the same systems-design foundation I’ve built for 20+ years, moving data fast, at scale, close to compute, watching where systems break; now applied to vectors and agents. I have worked on event streaming with Apache Kafka and Flink at AWS and Confluent; observability at Elastic; as well as RDBMS, NoSQL, and Big Data at Oracle. That foundation is exactly what separates AI demos that work on stage from AI systems that survive production.

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