Name: CloudNative Budapest Meetup October 2025
Start: 2025-10-15T17:00:00+02:00
End: 2025-10-15T20:00:00+02:00
Location: Cloudera Hungary

Exciting News for Cloud & Kubernetes Enthusiasts in Budapest!
We’re thrilled to announce the **CloudNative Budapest Meetup – October 2025** in Collaboration with **CNCF Budapest community group**🎉
📅 **Date:** 15th October 2025
🕔 **Time:** 5:00 PM – 8:00 PM CEST
📍 **Venue:** Cloudera Budapest Office

**Agenda Highlights:**

* **Talk 1 (5:30 – 6:15 PM)** – *Splitting the monolith: the road to Cadence* by **[Soma Koltai](https://hu.linkedin.com/in/koltaisoma), Cloudera**
👉 Learn how Cloudera transformed its Data Warehouse from a single-instance service into a distributed architecture using Cadence-compatible workflows.
* **Networking & Snacks (6:15 – 6:45 PM)** 🍕🥤
* **Talk 2 (6:45 – 7:30 PM)** – *A Tracing Journey: Difficulties and Take-aways* by **[Adrián Robotka](https://www.linkedin.com/in/adrianrobotka/)**
👉 Dive into real-world OpenTelemetry tracing, context propagation, and practical problem-solving in distributed systems.

👤 **Speaker Bios**

* **Soma Koltai** – Software Engineer at Cloudera since 2020, working on the Data Warehouse service. He has led major initiatives, including Cadence integration, and has a background in cloud automation, CI/CD, Kubernetes integration, and eCommerce projects. Passionate about Kubernetes, distributed systems, and cloud technologies.
* **Adrián Robotka** – Specializes in developing and operating distributed systems with a strong focus on observability. Currently a software craftsman, formerly an SRE, always striving to build better, more reliable systems.

💡 **Why Attend?**

* Break the monolith & scale with Cadence workflows
* Gain practical Kubernetes insights from real implementations
* Master distributed tracing with OpenTelemetry
* Connect architecture & observability in one session
* Learn directly from experts in the field

🎟️ Don’t miss this opportunity to learn, share, and network with the community.

Samriddhi Bhatnagar

Future of Data: Budapest

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