Discover Cloud Native community groups and events
2023/2024 Season Final
📋 Agenda
Scroll down to see the agenda.
After the presentations, we can head to a nearby bar and continue our discussion over a few beers. 🍻
ℹ️ The presentations will be in English.
📍 Venue
The meetup will be hosted at Nokia.
When approaching on foot, look for Padthai Wokbar. The entrance is on the opposite side, marked as "A" reception.
For those using public transport:
- Take Metro line 3 to the "Semmelweis Klinikák" stop. It's a 5-minute walk from there.
- For Tram lines 4 and 6, alight at the "Corvin negyed" stop and pass through Corvin Plaza. It's approximately a 10-minute walk.
For those arriving by car: you can park on Szigony utca (paid parking).
Upon arrival, you will need to sign the list of attendees provided at the reception. Therefore, we kindly ask everyone to RSVP in advance on the website, to facilitate a smoother check-in process.
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5:30 PM CEST
Doors open & mingling
in-person -
5:55 PM CEST
Welcome and introduction
in-person -
6:00 PM CEST
Presentation: Real-time usage metering with Kafka and Clickhouse (Peter Marton, OpenMeter)
in-personOpenMeter tackles the challenge of low-latency, scalable, real-time data ingestion to provide AI and cloud companies with a usage metering solution for consumption-based monetization. Peter shares how they evolved their stream processing and how they adopted Kafka with ClickHouse.
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6:30 PM CEST
Break (Pizza!!!!!)
in-person -
7:00 PM CEST
Presentation: Scalable Machine Learning Pipelines Using Argo Workflows (Adam Antal, Colossyan)
in-personIn the early days of Colossyan we quickly encountered many obstacles when the number of actors and models grew. Running the model trainings in a scalable and controlled way became a crucial problem to solve, and we adopted Argo Workflows as the solution. Join us for this insightful talk on harnessing the power of Argo Workflows for our pipeline needs. In this session, we'll explore how Argo Workflows can streamline and automate your ML workflows, enabling efficient development, deployment, and management of models at scale.
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7:30 PM CEST
Networking
in-person