Kube All the Things! — From Metal to Machine Learning


Details
Cloud Native Night Munich
Join us for an evening at the forefront of cloud-native innovation!
In this cloud native night we’re diving deep into the evolving world of Kubernetes — from bare metal to WASM, VMs, and AI workloads.
Our first talk, “On-Prem Kubernetes at Scale with metal-stack.io” takes us under the hood of large-scale, on-premise Kubernetes deployments. Learn how bare-metal infrastructure meets cloud-native tooling, enabling scalable, secure, and high-performance clusters without the hyperscaler lock-in.
Next, “Two Years of GitOps with FluxCD in Production”, gives insights into lessons learned when running GitOps orchestrated Kubernetes production workloads.
Whether you’re an infrastructure engineer, a platform architect, or just passionate about the future of Kubernetes, this meetup is for you. Expect insightful talks, real-world lessons, lively discussions — and of course, good company and refreshments!
THIS MEETUP WILL BE HYBRID. | Zoom
*** AGENDA ***
- 6.30 PM | Doors open. Grab some snacks & drinks.
- 7.00 PM | Welcome & Intro – Start of hybrid meetup
- 7.15 PM | **On-Prem Kubernetes at Scale With metal-stack.io**, Stefan Majer (CTO at x-cellent Technologies GmbH)
- ~8:15 PM | Two Years of GitOps with FluxCD in Production,
Christian Fritz (Software Architect at QAware GmbH) - afterwards: More snacks & drinks, and a lot of time for networking with all attendees and speakers.
*** ABSTRACTS ***
**On-Prem Kubernetes at Scale With metal-stack.io**, Stefan Majer (CTO at x-cellent Technologies GmbH)
Now that Kubernetes has gained a reputation as the de facto standard for running applications in a scalable and secure way, organizations are struggling to decide where to get Kubernetes from and how to run it. Most take the seemingly easiest route and go to one of the hyperscalers like Google, Amazon, or Azure. This works for most companies, but it comes with additional costs and loss of control over their data.
For this reason, we will show you how to build, run, and operate Kubernetes on your own hardware in your own data center without losing the performance and elegance your developers are used to from the hyperscalers.
metal-stack.io is a fully open source Metal as a Service API that can be used either by gardener.cloud or our Cluster API driver to create clusters in minutes, but on bare metal. We believe that strengthening the independence of European industry is more necessary than ever. With metal-stack.io, which is developed in Germany, we hope to contribute to this goal.
It was designed with the financial industry in mind, but is also well suited for any application that requires performance, high levels of tenant separation, best-in-class networking and high availability. It has been in production for over 5 years in many different data centers.
There is also a public offering at metalstack.cloud where customers can try and see how Kubernetes feels when not running on VMs.
We will give a deep dive into all aspects of this Open Source project.
Two Years of GitOps with FluxCD in Production,
Christian Fritz (Software Architect at QAware GmbH)
I've been working on a project for two years now, which was already using GitOps with FluxCD. In this talk I'll show our current GitOps setup and how new features make their way into production through our three stages. I will show the benefits, such as better reproducibility and efficiency, but also discuss the challenges and drawbacks: from complex defect analysis to organisational stumbling blocks. I also look ahead to where we see potential for improvement. This candid testimonial offers practical insights and lessons learned for anyone looking to evaluate or develop GitOps.
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Please note that photos are taken during the meetup. If you do not want to appear in the photos, please contact the meetup team at the beginning of the event.
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Während unserer Meetups werden Fotos aufgenommen. Falls du nicht auf den Fotos erscheinen möchtest, sprich bitte zu Beginn der Veranstaltung mit unserem Meetup Team.

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Kube All the Things! — From Metal to Machine Learning