Friday, Apr 3, 2020
If you know me well, you must know that I am a big fan of movies. It is not uncommon to see me in situations where if I need to explain something rather complex, I end up using movies as metaphors to understand what I am trying to explain. In this post, I will explain what Apache Kafka has in common with the character Rocky Balboa.
Monday, Mar 9, 2020
AWS ElastiCache is a fully managed service that allows users to easily and quickly use cache technologies like MemCached and Redis without the gory implementation details. But this doesn’t come for free. Developers often complain about the fact that the service is deployed in private subnets and due to that fact – they are not entitled to easily access for troubleshooting purposes.
A pattern to solve this problem is the usage of a bastion host, that sits between your machine and the private subnet to allow troubleshooting with ease. This post will show how to deploy a AWS ElastiCache service for Redis along with a bastion host using Terraform.
Tuesday, Mar 3, 2020
Recently I had to build an application that would store and order players in a Redis Sorted Set, but using multiple columns as criteria for the score, instead of just one. After trying to find a proper solution on the web and failing to do so; I decided to put my head to work and figure out an way. This post will show how did I accomplished that.
It turns out that my application has players with the following fields:
Saturday, Feb 29, 2020
If you are reading this blog post then there is a high chance that you’ve been looking for ways to make Confluent’s Go Client for Apache Kafka work with your Docker images but you’re struggling to. Am I right?
Don’t worry, you’ve came to the right place. After struggling with this myself I decided to share the solution that I’ve found with everybody else so we all can spend more time writing code than just wasting time with dependency plumbing.
Monday, Sep 23, 2019
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.
Sunday, Sep 15, 2019
Esse ano eu tive a honra de poder palestrar pela primeira vez no QCon São Paulo , edição do evento que ocorreu em Maio de 2019.
Na ocasião, eu fiz parte da trilha de Big Data coordenada pela fera Fabiane Nardon, onde pude compartilhar um pouco da história do Apache Kafka , qual seu estado atual como tecnologia, e, quais casos de uso ele ajuda a resolver.
Vídeo :
https://www.youtube.com/watch?v=4ONf63koLtU
Slides :
Monday, Sep 9, 2019
We are less than one month away from the next edition of the world’s best conference about Apache Kafka known as Kafka Summit, and I would like to detail a bit what is going to be the focus of my talk Being an Apache Kafka Developer Hero in the World of Cloud.
https://kafka-summit.org/sessions/developer-hero-cloud/
As you can read in the description, this talk is all about Confluent Cloud, where I will be showing the first steps to start working with event streaming applications using this awesome Apache Kafka as-a-service product from Confluent. However, the interesting part here is how I am going to do that.
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.
I’ve been speaking at conferences since 2008 and doing it full time as part of my work with DevRel 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.
You can find recordings of my talks live on my YouTube channel, and the code I write for talks, demos, and tutorials is on my GitHub.
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, and figuring out how to make AI agents secure enough to ship. I also contribute to open-source projects like LangChain4j and RedisVL for Golang.
The AI-native work isn’t a pivot. It draws on the same systems-design foundation I’ve built for 20+ years: designing data systems for scale, moving data fast, watching where systems break; now applied to vectors and agents. I have worked on RDBMS and Big Data at Oracle; event streaming with Apache Kafka and Flink at Confluent; observability at Elastic; AI and developer tooling at AWS; and NoSQL and vector stores at Redis. That foundation is exactly what separates AI demos that work on stage from AI systems that survive production.