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Cluster api devopscon berlin
The document outlines Kubernetes cluster management and the capabilities of Kubermatic, a product from Loodse GmbH. It describes the challenges of current node deployment solutions and introduces the Cluster API for more efficient and automated scaling and management of clusters. The presentation encourages collaboration and mentions job opportunities within the company.
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Cluster api devopscon berlin
- 1. K8s ClusterAPIManaging theinfrastructure 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
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- 6. Kubernetes is anopen-source system for automating deployment, scaling, and management of containerized applications. Kubernetes - a short recap
- 7. Kubernetes - ashort recap
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- 11. Current approach • NeedOps 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 atthe 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 storageabstraction • 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
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- 15. Cluster API Repos Inmigration https://github.com/kubernetes/kube-deploy New repo https://github.com/kubernetes-sigs/cluster-api
- 16. Native integration • Devcan 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 newMachine resources Provision the machine using provider-specific drivers • Machine joins the cluster • Kubelet creates the Node resource Machine Resources
- 19. MachineClass (Optional) Encapsulate CloudProvider & 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 similarnodes 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 deletenode resources Ensures {Cluster Nodes} == machineset.replicas
- 22. Reliable mechanism forcreating, updating and managing Machines Deployment manages replica changes, including rolling updates and scaling ...
- 23. DEMO TIME “Praise the demogods” - Kelsey Hightower
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- 25. We are hiring! Hamburg,Berlin, Munich, San Francisco, Gdańsk, … Homepage: www.loodse.com Twitter: @Loodse
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