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Kubernetes.md

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Kubernetes

Notes:

  • It is the 1st rank technology
  • made by google, Orchestration Engine
  • Manage and Schedule Containerization
  • Now donated to CNCF by google and being managed
  • Docker works in Platform As a Service
  • To check the kernal version run command uname -r
  • in ubuntu, we can use dpkg command to check if a software is installed or not
dpkg -l | grep -i docker
  • sleep command is used in linux same as time.sleep

Packaging of Software

old fashioned 

CODE -> Integrate -> Test -> Deploy -> Release

New Generation 

code + platform ~> OS (will be obtained through Docker)
  • Code means extensions like .exe , .rpm, .deb, .py
  • Platform ~> Creates an environment of software and runs the code over it

Docker

  • Docker can be installed over any linux or window 2016+ OS
  • It provides a platform where we can test and deploy our code
  • Kata Coda Resource to setup docker
  • requires kernal above .4.0
  • Docker's community edition is Docker -ce
  • It can be installed over Cloud, Virtual Machine or normal OS
  • Docker image is a kind of micro OS
  • Alpine linux is the most smallest OS of Linux Kernel
  • to run specific code in different specific platform, run command docker run -it --rm -v /root/code:/code alpine sh /code/hello.sh
  • using docker, no need to install any language in main OS as long as using Docker
  • run provide with a new platform
  • -it interactive terminal is provided with platform being given
  • --rm remove platform as soon as code is completed successfully that is no shutdown containers
  • The new platform being provided by docker is isolated in nature away from main OS
  • -v stands for volume , used to share code from main OS to Docker container -v path-in-os:path-created-in-container
  • sh name of the shell
  • maximum code of docker is written in golang
  • Containers require around 5 ~ 10 mb ram and about 0.0001% core CPU

GO

  • made around 2008 and 2009
  • write everything under a function
  • libraries can be compiled and run both offline as well as online, not really need to download it
  • It does not support dead code
package main  // defining main function
import {
    'fmt'
} 

func main() {
    a := 10;  // declared a variable, not being used , its dead code
    fmt.Println("hey pykid , is this thing working")
}
  • to run the above code use command go run file-name.go

Kubernetes

https://kubernetes.io

  • Container Orchestration all container related tasks whether they are running, dead, in proper state
  • Orchestration is managing and scheduling each and every container for which we need to use kubernetes application engine <<<<<<< HEAD
  • While using kubernetes make sure docker is installed over all the machines
  • To create a cluster we run the command kubeadm init
  • To find the available nodes run the command kubectl get nodes

Points to Note:

  • Why do we need Container Oriented Platform?
  • Business / Performance whats is its Scope
  • Is it Platform oriented

Possible Development Ideas

  • Run some code any language based
  • Host some Apps
  • Test your Software
  • Put your website live

Methods for launching Kubernetes

  1. Kaps ~> AWS
  2. MiniKube ~> Virtual Box
  3. Kubeadm ~> Open Source ~> Used to create mainframe Clusters

Master System

  • Has the authority to accept the requests of users and be able to deploy the actions as well

  • deployment it is a function which has the ability to store multiple containers that can be used all together

Podman

Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System.

Setting Up Kubernetes over AWS

  • Start a 4gb ram instance with 20 GB storage
  • Install docker running command yum install docker -y
  • start the service
  • Create a new Repo by running the following commands 
    $cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://packages.cloud.google.com/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
  • run the following command to install the kubernetes 
    yum install kubeadm kubectl docker -y
  • Run 
    cat <<EOF> /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
  • Run 
    sysctl --system
  • Run 
    modprobe br_netfilter

=======

  • Why we need container oriented platform?
  • Will it grow in terms of business or performance
  • Is it platform independent ?

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