session-56.txt

1. image building
	develop in vscode
	push to github
	pull in workstation
	build images
	push to docker hub
	
2. login to workstation
	install docker, kubectl and eksctl
	either aws configure or attach the role
	eks.yaml
	now create cluster through eksctl command
	kubectl get nodes
3. develop K8 YAML files
	push to github
	pull in workstation
	apply using kubectl command

namespace
pod
multi container
1 CPU = 1000m or 1024m
resources:
	  # soft limits
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
		
if there is a code chage, should I go for build or not?

code and configuration

what is configuration?
db urls, db usernames, passwords, api endpoint, other system urls.

keep the key inside code, but value should be out of the code.

if changes, change the value and restart the application.

How can you access pod outside?

Services

pods are ephemeral, IP address is temorary, but you can attch this to the service

Service:
	load balancer
	service mesh
	
Cluster IP < Node Port < Load Balancer

1. cluster IP
2. Node Port
3. Load Balancer

NodePort --> 
internet --> external
intranet --> inside

Load Balancer