Cluster api devopscon berlin

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Guus van Weelden

https://devopsconference.de/container-technologies/kube-node-let-your-kubernetes-cluster-auto-manage-its-nodes/

K8s ClusterAPIManaging the infrastructure of
Kubernetes Cluster

Who am I? Guus van Weelden
Who I’m working for? Loodse GmbH
Kubernetes?! Short recap
Kubermatic?! What’s that?
Node Deployment Solutions The old way
Machine API! Make K8s even greater
Demo time! Praise the demo gods!
Agenda

Guus van Weelden
Consultant & Developer
E-Mail: guus@loodse.com
Twitter: @guusvw91

Loodse
Company: Loodse GmbH
Focus: Container and Cloud Native technologies
Product: Kubermatic
Headquarter: Hamburg, Germany
Partner: Google Cloud Platform Partner
Member of CNCF and Linux Foundation

Kubernetes is an open-source system for automating
deployment, scaling, and management of containerized
applications.
Kubernetes - a short recap

Currently Supported Providers
Bare Metal

Current approach
• Need Ops to scale the cluster
• No generic approach
• Each implementation needs
specific knowledge
• Scaling of new nodes requires
external dependencies
• No generic node auto scaling
• Huge effort to deploy k8s on a
different platform
Node Node Node
Master
Node

Similar ideas at the same time
Kubicorn
https://github.com/kubicorn/kubicorn
Kube-node
https://github.com/kube-node
Archon
https://github.com/kubeup/archon

PersistentVolumes
A higher-level storage abstraction
• insulation from the resource provider
Admins provision them, users claim them
Can be dynamically created using a StorageClass
Independent lifetime from their consumers
Dynamically “scheduled” and managed
Pod
Claim

Cluster API Repos
In migration
https://github.com/kubernetes/kube-deploy
New repo
https://github.com/kubernetes-sigs/cluster-api

Native integration
• Dev can scale the cluster
• Pets vs cattle for nodes
• Implementation of generic auto
scaling possible
• Very similar setup for different
provider
kubectl create machines
Node Node Node
Master
Node

Machines/Nodes
• A "Machine" is the declarative spec for a Node,
as represented in Kubernetes core.
• After provisioning a new Node matching the
Machine spec is registered.

MachineController
Watches for new Machine resources
Provision the machine using provider-specific drivers
• Machine joins the cluster
• Kubelet creates the Node resource
Machine
Resources

MachineClass (Optional)
Encapsulate Cloud Provider & OS specific details
Spec
• Cloud Provider credentials
• Machine type (e.g. t2.medium)
• Provisioning Details
• Files (i.e. systemd unit, ssh keys)
• Execute arbitrary commands via ssh
Machine
Resources
Class

MachineSet
Group of similar nodes
Integrates with node autoscaler
Spec:
• Replicas (number of nodes)
• MachineController
• MachineClass Machi
ne
Class
Machi
ne
Machi
ne

MachineSetController
Machi
ne
Class
Machi
ne
Machi
ne
Create and delete node resources
Ensures {Cluster Nodes} ==
machineset.replicas

Reliable mechanism for creating, updating
and managing Machines
Deployment manages replica changes,
including rolling updates and scaling
...

DEMO
TIME
“Praise the demo gods” - Kelsey Hightower

We are hiring!
Hamburg, Berlin, Munich, San Francisco,
Gdańsk, …
Homepage: www.loodse.com
Twitter: @Loodse

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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!

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Driving Business Innovation: Latest Generative AI Advancements & Success Story

Cluster api devopscon berlin

1. K8s ClusterAPIManaging the infrastructure of Kubernetes Cluster

2. Who am I? Guus van Weelden Who I’m working for? Loodse GmbH Kubernetes?! Short recap Kubermatic?! What’s that? Node Deployment Solutions The old way Machine API! Make K8s even greater Demo time! Praise the demo gods! Agenda

3. Guus van Weelden Consultant & Developer E-Mail: guus@loodse.com Twitter: @guusvw91

4. Loodse Company: Loodse GmbH Focus: Container and Cloud Native technologies Product: Kubermatic Headquarter: Hamburg, Germany Partner: Google Cloud Platform Partner Member of CNCF and Linux Foundation

5. Kubernetes

6. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. Kubernetes - a short recap

7. Kubernetes - a short recap

9. Currently Supported Providers Bare Metal

10. Node Deployment Solution

11. Current approach • Need Ops to scale the cluster • No generic approach • Each implementation needs specific knowledge • Scaling of new nodes requires external dependencies • No generic node auto scaling • Huge effort to deploy k8s on a different platform Node Node Node Master Node

12. Similar ideas at the same time Kubicorn https://github.com/kubicorn/kubicorn Kube-node https://github.com/kube-node Archon https://github.com/kubeup/archon

13. PersistentVolumes A higher-level storage abstraction • insulation from the resource provider Admins provision them, users claim them Can be dynamically created using a StorageClass Independent lifetime from their consumers Dynamically “scheduled” and managed Pod Claim

14. Cluster API

15. Cluster API Repos In migration https://github.com/kubernetes/kube-deploy New repo https://github.com/kubernetes-sigs/cluster-api

16. Native integration • Dev can scale the cluster • Pets vs cattle for nodes • Implementation of generic auto scaling possible • Very similar setup for different provider kubectl create machines Node Node Node Master Node

17. Machines/Nodes • A "Machine" is the declarative spec for a Node, as represented in Kubernetes core. • After provisioning a new Node matching the Machine spec is registered.

18. MachineController Watches for new Machine resources Provision the machine using provider-specific drivers • Machine joins the cluster • Kubelet creates the Node resource Machine Resources

19. MachineClass (Optional) Encapsulate Cloud Provider & OS specific details Spec • Cloud Provider credentials • Machine type (e.g. t2.medium) • Provisioning Details • Files (i.e. systemd unit, ssh keys) • Execute arbitrary commands via ssh Machine Resources Class

20. MachineSet Group of similar nodes Integrates with node autoscaler Spec: • Replicas (number of nodes) • MachineController • MachineClass Machi ne Class Machi ne Machi ne

21. MachineSetController Machi ne Class Machi ne Machi ne Create and delete node resources Ensures {Cluster Nodes} == machineset.replicas

22. Reliable mechanism for creating, updating and managing Machines Deployment manages replica changes, including rolling updates and scaling ...

23. DEMO TIME “Praise the demo gods” - Kelsey Hightower

24. Questions?

25. We are hiring! Hamburg, Berlin, Munich, San Francisco, Gdańsk, … Homepage: www.loodse.com Twitter: @Loodse

26. 20% with CDS2018_DEVOPS