- Kubernetes on AWS
- Ed Robinson
- 363字
- 2021-06-10 18:41:28
Reach for the Cloud
In this chapter, we are going to learn how to build a Kubernetes cluster that runs on Amazon Web Services from first principles. In order to learn how Kubernetes works, we are going to manually launch the EC2 instances that will form this first cluster and manually install and configure the Kubernetes components.
The cluster that we will build is suitable for you to use when learning about managing Kubernetes and for developing applications that can run on Kubernetes. With these instructions, we are aiming to build the simplest possible cluster that we can deploy to AWS. Of course, this does mean that there are some things that you will want to do differently when building a cluster of mission-critical applications. But don't worry—there are three chapters in Part 3 - Ready for Production where we cover everything you need to know to get your cluster ready for even the most demanding applications.
If you have finished with the cluster, terminate the instances and make sure that the EBS volumes have been deleted, because you will pay for these storage volumes even if the instances they are attached to have been stopped.
This chapter is designed to be a learning experience, so read through and type out the commands as you read them. If you have the e-book version of this book, then resist the urge to copy and paste, as you will learn more if you type out the commands and take some time to understand what you are doing. There are tools that will do everything this chapter covers and more just by running one command, but hopefully building your first cluster manually, step by step, will give you some valuable insight into what is required to make a Kubernetes cluster tick.
- 計算機應用
- AutoCAD繪圖實用速查通典
- Zabbix Network Monitoring(Second Edition)
- Python Data Science Essentials
- Spark大數(shù)據(jù)技術(shù)與應用
- Arduino &樂高創(chuàng)意機器人制作教程
- 具比例時滯遞歸神經(jīng)網(wǎng)絡(luò)的穩(wěn)定性及其仿真與應用
- 大數(shù)據(jù)驅(qū)動的機械裝備智能運維理論及應用
- ZigBee無線通信技術(shù)應用開發(fā)
- 寒江獨釣:Windows內(nèi)核安全編程
- Mastering Predictive Analytics with scikit:learn and TensorFlow
- Windows 7故障與技巧200例
- Linux常用命令簡明手冊
- 項目實踐精解:C#核心技術(shù)應用開發(fā)
- 傳感器原理及應用(第二版)