Supersonic Streams: When Quarkus Met Kafka
A presentation at Current London 2026 in in London, UK by Viktor Gamov
SUPERSONIC STREAMS / When Quarkus Met Kafka @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
QR Code — Join the Game Scan to join the game @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Waiting for players… [LIVE DASHBOARD — TEAM LOBBY] Waiting for players… @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
PLAY [LIVE DASHBOARD — GAME PLAY] Full-screen during 90s of audience play @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Winning Team [LIVE DASHBOARD — FINAL SCORES] @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Where the 47 minutes actually go. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Quick check. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Step 1: Bare Quarkus, cold. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Demo Live — quarkus create + quarkus dev
[LIVE TERMINAL] $ quarkus create app supersonic $ cd supersonic && quarkus dev
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
0.9 seconds. JVM. No native compile. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Step 2: Bolt on a Kafka producer. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Demo Live — Add Kafka Producer [LIVE IDE + TERMINAL] quarkus ext add reactive-messaging-kafka @Channel(“power”) Emitter<PowerEvent> @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Wait. Where did the broker come from? @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Demo Live — Verify Dev Services [LIVE TERMINAL] $ docker ps $ kafka-console-consumer.sh —topic power … $ curl http://localhost:8080/produce Or use quarkus @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
47 minutes → 2 seconds. Verified. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Step 3.5: Ask the code assistant. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Step 4: Tests, with a real broker. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Demo Live — Run the Test [LIVE TERMINAL] $ mvn test @QuarkusTest — real Kafka via Dev Services @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Last step: ship it. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Demo Live — Deploy + Scale-to-Zero [LIVE TERMINAL + BROWSER] $ mvn package -Dquarkus.kubernetes.deploy=true $ kubectl get pods @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Five steps. Real demo. Real Kafka. Real Kubernetes. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
And that’s what you played. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
5-day forecast. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
Shownotes, slides, demo code. speaking.gamov.io @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
@gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
One thing to do this week. @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
QR Code — If we have time Shaking Game Scan to join the game @gamussa (X/Bluesky) · vikgamov (LinkedIn) | @kevindubois (X/LinkedIn)
as always have a nice day
Building modern, event-driven applications with traditional Java and Apache Kafka often means grappling with slow development cycles and complex local environment setup. This friction hinders developer productivity.
A new generation of Java platforms like Quarkus is changing this. Designed for the cloud, these runtimes feature extremely fast startup times and a minimal memory footprint. We’ll demonstrate how these platforms drastically simplify the developer experience—such as by automatically provisioning a live Kafka cluster for local development.
Beyond the inner-loop, we will show how these optimized applications, combined with cloud-native tooling, enable you to deploy and rapidly scale your Java microservices and Kafka components on platforms like Kubernetes. This ensures you can efficiently handle fluctuating event loads, scaling seamlessly from zero to massive scale.
Attendees should come away with: Learn how modern Java simplifies the entire Kafka development lifecycle, from local setup to production. Practical knowledge for building high-performance, event-driven applications designed for rapid scaling and minimal resource consumption. Inspiration for leveraging these technologies to achieve faster time-to-market and operational efficiency.
