0、k8s的前世今生

参考链接: https://kubernetes.io/blog/2015/04/borg-predecessor-to-kubernetes/

1、下载k8s

下载链接: https://kubernetes.io/releases/download/#binaries

2、k8s文档

k8s介绍: https://kubernetes.io/docs/concepts/overview/

k8s下载：https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG/CHANGELOG-1.27.md#downloads-for-v1271

k8s安装：https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/

2.1、容器化部署的优越性

2.1.1、Traditional deployment era

Early on, organizations ran applications on physical servers. 
There was no way to define resource boundaries for applications 
in a physical server, and this caused resource allocation issues. 
For example, if multiple applications run on a physical server, 
there can be instances where one application would take up most 
of the resources, and as a result, the other applications would 
underperform. A solution for this would be to run each 
application on a different physical server. But this did not 
scale as resources were underutilized, and it was expensive for 
organizations to maintain many physical servers.

2.1.2、Virtualized deployment era

As a solution, virtualization was introduced. It allows you to 
run multiple Virtual Machines (VMs) on a single physical server's 
CPU. Virtualization allows applications to be isolated between 
VMs and provides a level of security as the information of one 
application cannot be freely accessed by another application.


Virtualization allows better utilization of resources in a 
physical server and allows better scalability because an 
application can be added or updated easily, reduces hardware 
costs, and much more. With virtualization you can present a set 
of physical resources as a cluster of disposable virtual 
machines.

Each VM is a full machine running all the components, including 
its own operating system, on top of the virtualized hardware.

2.1.3、Container deployment era

Containers are similar to VMs, but they have relaxed isolation 
properties to share the Operating System (OS) among the 
applications. Therefore, containers are considered lightweight. 
Similar to a VM, a container has its own filesystem, share of 
CPU, memory, process space, and more. As they are decoupled from 
the underlying infrastructure, they are portable across clouds 
and OS distributions.

Containers have become popular because they provide extra benefits, such as:

1. Agile application creation and deployment: increased ease and efficiency of container image creation compared to VM image use.
2. Continuous development, integration, and deployment: provides for reliable and frequent container image build and deployment with quick and efficient rollbacks (due to image immutability).
3. Dev and Ops separation of concerns: create application container images at build/release time rather than deployment time, thereby decoupling applications from infrastructure.
4. Observability: not only surfaces OS-level information and metrics, but also application health and other signals.
5. Environmental consistency across development, testing, and production: runs the same on a laptop as it does in the cloud.
6. Cloud and OS distribution portability: runs on Ubuntu, RHEL, CoreOS, on-premises, on major public clouds, and anywhere else.
7. Application-centric management: raises the level of abstraction from running an OS on virtual hardware to running an application on an OS using logical resources.
8. Loosely coupled, distributed, elastic, liberated micro-services: applications are broken into smaller, independent pieces and can be deployed and managed dynamically – not a monolithic stack running on one big single-purpose machine.
9. Resource isolation: predictable application performance.
10. Resource utilization: high efficiency and density.

3、安装k8s

3.1、Install kubectl on Linux

https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/#install-kubectl-on-linux

3.2、