Practical aspects of kubernetes cloud provider integration - Michał Jura, SUSE
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This document discusses Kubernetes cloud provider integration (CPI) with public clouds. It explains that Kubernetes can be deployed on public clouds using tools from cloud providers like Amazon EKS, Google GKE, and OpenStack Magnum. CPI allows Kubernetes to utilize storage, networking, load balancing, and other resources from the underlying cloud platform. Key aspects of CPI covered include in-tree and out-of-tree CPI drivers, static and dynamic volume provisioning, using load balancers and private networks, and other cloud resources like authentication, file storage and metadata services. The document concludes with a demo of Kubernetes CPI on an OpenStack cloud infrastructure.
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Currently Apache CloudStack supports two methods to deploy Kubernetes Clusters (CKS, CAPC). This session gives a demo on how to easily deploy CKS and CAPC on Apache CloudStack and will also give an overview of various use cases which will help you to choose the best deployment based on your requirement.
http://docs.cloudstack.apache.org/en/latest/plugins/cloudstack-kubernetes-service.html
https://cluster-api-cloudstack.sigs.k8s.io/getting-started.html
Speakers Bio:
For work, Kiran is a QR engineer at ShapeBlue. Kiran has experience in providing technical support on various issues related to CloudStack.
Vishesh is a software engineer at ShapeBlue. He has experience in developing and managing cloud infrastructure. He has a particular interest in databases and has worked extensively on them.
---------------------------------------------
On Friday 18th August, the Apache CloudStack India User Group 2023 took place in Bangalore, seeing CloudStack enthusiasts, experts, and industry leaders from across the country, discuss the open-source project. The meetup served as a vibrant platform to delve into the depths of Apache CloudStack, share insights, and forge new connections.
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แนวทางการการพัฒนา Application สำหรับการทำงานกับ AKS ซึ่งรวมถึงการ Handling Failures การกำหนดข้อจำกัดในการใช้ Resource ของ Pod และแนวทางการ Debug Application
โดยคุณฟูเกียรติ จุลนวล
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Олександр Занічковський
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Віднедавна займається менторінгом майбутніх техлідів
У вільний від роботи час грає на гітарі і мріє про велику сцену
Олександр поділиться власним досвідом роботи з Kubernetes:
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ohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohohvvvvvvvvvvvvvvvvvvvvvvv
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- 12. Enable Cloud Provider Integration • Provide --cloud-provider=openstack flag – kube-controller-manager – kube-apiserver – kubelet • Create cloud.conf file and enable --cloud-config=
- 14. In-tree and out-tree CPI drivers • In-tree cloud providers drivers develop in the main Kubernetes repository – OpenStack, AWS, GCE, Azure, VMware • Out-tree cloud providers drivers provided and develop by third-party – Alibaba Cloud, Rackspace
- 15. Static and dynamic volume provisioning ● Use storage resources from cloud platform ● Allows storage volume to be created on-demand ● Eliminates the need for cluster administrators to provision storage ● It automatically provisions storage when it is requested by users
- 16. Use Load Balancer and private network ● Create Load Balancer pool to expose user application ● Support different Load Balancer drivers like HAproxy or Octavia ● Uses cloud private networks and routers
- 17. Other resources ● Authentication – OpenStack Keystone ● File storage – OpenStack Manila ● Metadata service – OpenStack Metadata
- 18. Future of Kubernetes CPI
- 20. Controller Compute ComputeCompute StorageNetworkCompute OpenStack Ceph Kubernetes Cluster Physical SwitchAdmin OpenStack Cloud Infrastructure
- 21. Summary