Quarkus at Open Source Summit Korea 2026

[insectengine]

Event Description: Open Source Summit Korea unites the open source ecosystem, offering a platform for collaboration, knowledge-sharing, and exploring innovative solutions.

Date: August 11-12, 2026
Location: Seoul, Korea
Event Type: In-Person

https://events.linuxfoundation.org/open-source-summit-korea/

Sessions

Session: Self-Healing Rollouts: Automating Production Fixes With Agentic AI
Speaker(s): Kevin Dubois & Carlos Sanchez
Date/Time: Tuesday August 11, 2026 11:40 - 12:10 KST
Room: Orchid 2
Abstract: Your software rollouts to production are probably always flawless, right? For the rest of us, once in a while we do run into issues when releasing code to production. Even with robust CI/CD, production rollouts can hit unexpected snags. While in Kubernetes, ArgoCD and Argo Rollouts excels at Progressive Delivery and automated rollbacks to mitigate deployment issues, what if we could go a step further?

This session explores how to elevate your release process by integrating Agentic AI and asynchronous coding agents, with Argo Rollouts canary deployments. We'll demonstrate how an intelligent agent can automatically analyze a rollout failure, pinpointing the root cause. Beyond diagnosis, these agents can take proactive steps on your behalf, suggesting and even implementing code fixes as new pull requests, which can be redeployed automatically after PR review. This approach moves us closer to truly self-healing deployments.

Join us to learn how to combine the power of cloud native projects like Kubernetes, ArgoCD and Argo Rollouts with the autonomous capabilities of Agentic AI, achieving a release experience that is not only seamless but also resilient.

Session: Building and Orchestrating Production-ready Agentic AI Systems
Speaker(s): Kevin Dubois & Daniel Oh
Date/Time: Wednesday August 12, 2026 11:00 - 11:30KST
Room: Orchid 2
Abstract: Agentic AI is all the hype right now, but how do you actually implement such a system for real enterprise, cloud based use cases?

The challenge for developers, architects and platform engineers alike lies in custom building agents, and even more so, orchestrating these agents to collaborate effectively towards a common goal. Unfortunately though, despite all the promises from vendors, a "one-size-fits-all" or “off-the-shelf” approach just doesn't work due to the complex nature of software. In addition, just like traditional apps, these agentic systems will likely need to be deployed, managed and observed in cloud environments.

In this session we'll explore:

• The spectrum of Agentic AI patterns
• A real world-ish implementation of a highly performant - open source - agentic system (with Java!)
• Deploying this agentic system to Kubernetes
• Other considerations such as observability and fault tolerance to get it all running smoothly in production.