Nicolai Ort
Cloud Platform Engineer
Herzogenaurach, Germany
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Nicolai Ort is the principal Platform Engineer and CEO at ODIT. Services, empowering teams and organizations on their journey towards the cloud native ecosystem. He is an advocate for using and contributing to open-source technologie. Nicolai has gained experience across various roles across the IT industry, including software development, platform architecture and infrastructure operations.
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Ctrl+Alt+Deploy: Windows Workloads as a Service powered by kubeVirt VMs
During the rise of platform engineering, one kind is often scoped out: traditional Windows-based services or VMs. How could that be?
Let's discover if KubeVirt is an option to serve platform services and possibly replace current hypervisors. "Of course!" the community shouts. KubeVirt has been stable for a while now and is used, e.g. for virtual Kubernetes workers. But one important aspect get (sometimes intentionally) ignored: most large enterprises still own Windows VMs for special services, testing, or Windows Terminal Servers.
While KubeVirt plays nicely with Linux, Windows has been a niche topic and hasn’t been in focus. The talk is focused on the state of Windows on KubeVirt - what works, what aspects are still missing - and how it could be provided as a platform service, especially on-premise. We try also to find answers if a KubeVirt-based Windows service is good enough to be used in production as a valid alternative to current legacy hypervisors or public cloud offerings.
Promotion Failed: How (Not) To Stage Your (Kubernetes) Platform
Creating a Kubernetes platform is one thing — getting teams to trust and adopt it is another.
When it’s time for an upgrade, the margin for error suddenly feels razor-thin. A staging environment sounds like the obvious answer to prevent disruptions and keep your users' trust, but how do you make sure what passes staging truly reaches - and works - in production?
In this talk, we’ll explore several strategies for building and promoting staged environments, from simple replication to declarative pipelines and automated diffing.
Through the lens of a Kubernetes-as-a-Service platform, you’ll gain practical insight and tipps on designing a promotion process that fits your platform’s maturity and scale.
Evaluating Global Load Balancing Options for Kubernetes in Practice
Load Balancing is a critical aspect of modern cloud deployments, and it’s especially tricky and misunderstood in hybrid environments that span across public clouds and private datacenters on premise. Designing a future-proof solution that is scalable, robust, fast and includes automatic failovers for different disaster cases, is a challenge we need to tackle. Therefore, our evaluation focused on two base technologies: Multi-Cluster Meshes and DNS based Global Load Balancing.
Join us on our journey of evaluating the two CNCF projects Cilium and K8GB against real-world scenarios with complex multi-cloud deployments. Learn about the benefits, challenges and trade-offs you should expect when choosing a hybrid cloud strategy with Kubernetes!
A practical live demo will share our hands-on experience, pros and cons, alongside use-case-specific solution recommendations for your hybrid-cloud journey.
Ctrl+Alt+Deploy: Windows Workloads as a Service powered by KubeVirt
During the rise of platform engineering, one kind is often scoped out: traditional Windows-based services or VMs. How is that possible?
Let's discover if KubeVirt is an option to serve platform services and possibly replace current hypervisors. "Of course!" the community shouts. KubeVirt has been stable for a while now and is used, e.g. for virtual Kubernetes workers. But one important aspect get (sometimes intentionally) ignored: most large enterprises still own Windows VMs for special services, testing, or Windows Terminal Servers.
While KubeVirt plays nicely with Linux, support for Windows has been a bit of a niche topic and wasn't in focus in the past.
This talk aims to get you up to date on the state of Windows on KubeVirt - what works and what aspects are still missing - trying to find an answer to the initial question: Is KubeVirt's support for Windows good enough to be a valid alternative to my current hypervisor or escape some cloud offerings?
But we have GPUs at home - on-prem ai with kubernetes, Openstack & KubeVirt
Developers want one thing: GPUs — lots of them — to train models and run inference.
Ordering a cluster from your favorite cloud provider is all fun and games, until data gravity and compliance pull you back on‑prem.
What if you could deliver a cloud‑like developer experience for AI on your own hardware?
In this talk, you’ll hear about our journey (trying) to achieve exactly that. Expect a walk through the architectual and operational challenges of GPU orchestration: Interactions between hypervisors and Kubernetes, scheduling single- and multi-GPU workloads, and trade-offs between virtualized and baremetal clusters.
Come for the lessons learned; stay for the scars and stories from trying to make “GPUs at home” actually work. You’ll leave with tested approaches, lessons learned, and maybe a few warnings.
Nicolai Ort
Cloud Platform Engineer
Herzogenaurach, Germany
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