![apiVersion: v1
kind: Pod
metadata:
name: myapp-pod
labels:
app: myapp
spec:
containers:
- name: myapp-container
image: busybox
command: ['sh', '-c', 'echo
Hello Kubernetes! && sleep
3600']
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
OBJECTS apiVersion: v1
kind: Service
metadata:
name: dt-service
spec:
selector:
app: directeam
ports:
- protocol: TCP
port: 80
targetPort: 9376](https://image.slidesharecdn.com/kuberenetes-fromzerotoheromeetup-190703073547/85/Kuberenetes-From-Zero-to-Hero-21-320.jpg)
![Virtual cluster backed by the
same physical cluster
Volume
Namespace: prod
Pod
Labels: [app: dt-app]
Container
Name: dt-app
Image: nginx
Namespace
Pod
Labels
Volume
smallest deployable units of
computing
key/value pairs that are
attached to objects
Abstraction layer for
having persistence
storage](https://image.slidesharecdn.com/kuberenetes-fromzerotoheromeetup-190703073547/85/Kuberenetes-From-Zero-to-Hero-22-320.jpg)
Uploaded byOri Stoliar
Kuberenetes - From Zero to Hero
This document provides an overview of Kubernetes, including its architecture, components, and installation methods. It discusses the scalability, portability, and high availability of Kubernetes, as well as specific Kubernetes objects such as pods, services, and deployments. Additionally, the document highlights practical demonstrations and next steps in managing Kubernetes clusters.
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Kuberenetes - From Zero to Hero
- 1. From Zero toHero
- 2.
- 3. ● K8s Overview ●K8s Architecture ● K8s Objects ● Installing K8s ● Show time! ● Q&A AGENDA
- 4.
- 5. ? SO… WHAT IS “Open-source systemfor automating deployment, scaling, and management of containerized applications.”
- 6. Running containers at scale ProvidesObjects and APIs for building modern applications Open Source Container Management WHAT IS KUBERNETES?
- 7. HISTORY IN ANUTSHELL Borg was founded by Google 2004 Kubernetes was introduced 2014 2015 Kubernetes 1.0 & CNCF 2017 Docker fully embraces Kubernetes Minikube 2016
- 8.
- 9. WHY KUBERNETES Scalability Portability High AvailabilityOpen Source Market Leader Proven, Battle Tested
- 10.
- 12.
- 13.
- 14. kube-apiserver ● Exposes theKubernetes API ● Handles REST requests from kubernetes components and from user/automating systems
- 15. kube-controller- manager ● Responsible forrunning the different controllers
- 16. ● Strongly consist,distributed Key/Value store
- 17. kube-scheduler ● Responsible forplacement of Pods on Nodes in a cluster based on various factors.
- 18.
- 19. kubelet ● An Agentthat runs on each node of the cluster ● The kubelet takes a set of PodSpecs that are provided and ensures that the containers described in those PodSpecs are running and healthy
- 20. kube-proxy ● Kube-proxy isa network proxy that runs on each node of the cluster
- 21. apiVersion: v1 kind: Pod metadata: name:myapp-pod labels: app: myapp spec: containers: - name: myapp-container image: busybox command: ['sh', '-c', 'echo Hello Kubernetes! && sleep 3600'] apiVersion: apps/v1 kind: Deployment metadata: name: nginx-deployment labels: app: nginx spec: replicas: 3 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx:1.7.9 ports: - containerPort: 80 OBJECTS apiVersion: v1 kind: Service metadata: name: dt-service spec: selector: app: directeam ports: - protocol: TCP port: 80 targetPort: 9376
- 22. Virtual cluster backedby the same physical cluster Volume Namespace: prod Pod Labels: [app: dt-app] Container Name: dt-app Image: nginx Namespace Pod Labels Volume smallest deployable units of computing key/value pairs that are attached to objects Abstraction layer for having persistence storage
- 23. DaemonSet ● Implements asingle instance of a pod on a worker node. ● Common usage: ○ Monitoring ○ Logging Node Pod Node Pod Master Node Pod
- 24. Deployment ● Deployment controllershandles declarative updates for Pods and ReplicaSets. ● Manages changes from the actual state to the desired state at a controlled rate. Deployment Pod Pod ReplicaSet Pod Pod ReplicaSet ReplicaSet ● Guarantees the availability of a specified number of identical Pods.
- 25. Service ● An abstractway to expose an application running on a set of Pods as a network service. There are 3 types of Service: ○ Node Port ○ Load balancer ○ ClusterIP Service Pod Pod Pod
- 26. DNS CoreDNS - OpenSource DNS Server written in Go, Kubernetes default DNS server since version 1.13 ● CoreDNS runs as Deployment ● Default cluster domain - cluster.local ● Default allocated DNS records: ○ <SERVICE_NAME>.<NAMESPACE>.svc.cluster.local ○ <POD_IP>.<NAMESPACE>.pod.cluster.local
- 28.
- 29. Kubectl $> kubectl getdeployment webapp $> kubectl get pod web-pod-13je7 -o yaml $> kubectl apply -f example-service.yaml ● Kubectl is a command line interface for running commands against Kubernetes clusters. ● By default, looks for config file at $HOME/.kube
- 30. Installing Kubernetes ● Kubeadm ● Kops ●Kubespray ● ... ● AWS EKS ● GCP GKE ● Azure AKS ● Rancher ● ... Self installed Managed VS
- 31. FOCUS ON WHAT'SIMPORTANT
- 32. CREATING EKS CLUSTER ●Creating EKS using eksctl: $> eksctl create cluster --version=1.13 -- name=k8s-meetup --nodes=3 --node-ami=auto -- region=${AWS_REGION} ● Getting kubeconfig file: $> aws eks --region <REGION> update-kubeconfig -- name <cluster_name>
- 33.
- 34. IT’S SHOW TIME! ●Demonstration over AWS ● Run BE & FE services ● Expose the FE service to the internet via Load balancer ● Use secure HTTPS connection ● Attach DNS record to the load balancer ● Scale automatically the FE service based on collected metrics ● Scale manually the BE service.
- 35. ● Helm -deploy apps at ease ● Monitoring - what are the right metrics? ● Logging - what do we even look for? NEXT STEPS
- 36.
- 37.