Cloud and Data Meetup Kraków | 07.10.2026 ⭐
Kraków — Poland

When
10/7/2026, 4:00:00 PM
Where
ul. Meiselsa 18, Kraków, Kraków, pl
About
⭐ Free tickets: https://app.evenea.pl/event/cloudanddata0710/
We invite you to the Cloud and Data Meetup Kraków event, which will take place on October 7, 2026, at 18:00 at HEVRE, Meiselsa Street 18, Kraków.
Participation in the meeting is free for participants registered through Evenea.
❎ AGENDA ❎
17:30 - 18:00 Participant registration, ticket check on the first floor
18:00 - 18:15 Event opening and welcome
18:15 - 18:40 Presentation #1: From Visibility to Action: Automated, Real‑Time Kubernetes Resource Management - Fabrice Bensimon, Nic Vermande
18:40 - 18:50 Break
18:50 - 19:15 Presentation #2: Cloud Edge WAF Protection - Dmytro Lytvynenko
19:15 - 19:25 Break
19:25 - 19:50 Presentation #3: Deployment Strategies: Choosing the Right Approach - Michał Franczyk
20:00 Networking with pizza
❎ PRESENTATION ASBTRACT ❎
+ From Visibility to Action: Automated, Real‑Time Kubernetes Resource Management - Fabrice Bensimon, Nic Vermande
Most Kubernetes clusters sit 60% to 70% overprovisioned, and another dashboard won't change that. This talk covers why the usual fixes stall before reaching production, then shows how ScaleOps automates real-time resource management with guardrails, including for AI and GPU workloads.
+ Cloud Edge WAF Protection - Dmytro Lytvynenko
A high-level introduction to Edge WAF protection, covering the basic concepts, benefits, and use cases. A short session suitable for both technical professionals and beginners.
+ Deployment Strategies: Choosing the Right Approach - Michał Franczyk
Not every deployment should be done the same way. In this session, we'll review the most popular deployment strategies, understand when to use each one, and discuss how they impact reliability, customer experience, and rollback capabilities.
❎ SPEAKERS ❎
+ Nic Vermande (Senior Developer Advocate, ScaleOps)
Nic Vermande is a Senior Developer Advocate at ScaleOps, where he writes and speaks about Kubernetes resource management, GPUscheduling, and running AI workload