- Mastering Kubernetes
- Gigi Sayfan
- 184字
- 2021-06-18 18:37:00
Summary
In this chapter, we got into some hands-on cluster creation. We created a single-node cluster using Minikube and a multi-node cluster using KinD and k3d. Then, we looked at the many options to create Kubernetes clusters on cloud providers. Finally, we touched on the complexities of creating Kubernetes clusters on bare metal. The current state of affairs is very dynamic. The basic components are changing rapidly, the tooling is getting better, and there are different options for each environment. Kubeadm is now the cornerstone of most installation options, which is great for consistency and consolidation of effort.
It's still not completely trivial to stand up a Kubernetes cluster on your own, but with some effort and attention to detail, you can get it done quickly.
In the next chapter, we will explore the important topics of scalability and high availability. Once your cluster is up and running, you need to make sure it stays that way, even as the volume of requests increases. This requires ongoing attention and building the ability to recover from failures, as well as adjusting to changes in traffic.
- 大數據管理系統
- Google Cloud Platform Cookbook
- Mastering D3.js
- 21天學通C#
- INSTANT Autodesk Revit 2013 Customization with .NET How-to
- 具比例時滯遞歸神經網絡的穩定性及其仿真與應用
- 人工智能趣味入門:光環板程序設計
- 電氣控制與PLC技術應用
- AI的25種可能
- MATLAB-Simulink系統仿真超級學習手冊
- 深度學習原理與 TensorFlow實踐
- Hadoop Beginner's Guide
- Hands-On Deep Learning with Go
- 新一代人工智能與語音識別
- 菜鳥起飛電腦組裝·維護與故障排查