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Kubernetes Introduction
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
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Kubernetes Introduction
- 1. Kubernetes Introdution Production-Grade Container Orchestration Jan 2017,Peng Xiao Network Consulting Engineer Cisco Systems 8
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- 3. In The VeryBeginning… Hardware Application Operating System
- 4. Scale & HighAvailability Hardware App Operating System Hardware App Operating System Hardware App Operating System
- 5. Hardware Virtualization Infratructure App Operating System App OperatingSystem App Operating System Machine Machine Machine
- 6. Containerized Infratructure App Operating System App Operating System App OperatingSystem Machine Machine Machine Container Runtime Container Runtime Container Runtime
- 7. Container Orchestration Infratructure App Operating System OperatingSystem Operating System Machine Machine Machine Container Runtime Container Runtime Container Runtime Container Orchestration App App App App
- 8. Container Orchestration Infratructure Operating System OperatingSystem Operating System Machine Machine Machine Container Runtime Container Runtime Container Runtime Resource Management Scheduling Service Management Apps Orchestration
- 9. Container Orchestration • Schedule containersto physical/virtual machines • Restart containers if they stop • Provide private container network • Scale up and down • Service discovery
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- 11. Kubernetes • Greek for“Helmsman”; also the root of the word “governor” and “cybernetic” • Orchestrator for containers • Builds on Docker containers • Also supporting other container technologies • Multi-cloud and bare-metal environments • Inspired and informed by Google’s experiences and internal systems • 100% Open Source, written in Go. • Release 1.0 21th July 2015 Large-scale cluster management at Google with Borg https://research.google.com/pubs/pub43438.html
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- 14. Quick Recap • Docker •Docker Compose • Docker Swarm
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- 16. Setup Kubernetes Environment •Minikube • Simplest way to get Kubernetes cluster up and running • Support Microsoft Windows and Mac OSX • Kubernetes Multi-Node Cluster • Emulates production environment • Good for testing advanced scenarios • Google Container Engine • Hosted and managed by Google • Powered by Google Compute Engine
- 17. Getting Started withMinikube • Install Oracle VirtualBox for Mac • Install Docker Toolbox for Mac • Install Docker Version Manager • Install the latest version of Minikube for Mac OSX • Download the latest version of kubectl from this link • Run the following commands from the directory where kubectl is downloaded • chmod +x ./kubectl • sudo mv kubectl /usr/local/bin • Launch minikube with the following command: • minikube start –wm-driver=virtualbox • Test minikube installation with the following commands • minikube status • kubectl get cs
- 18. kubeadm master.myco.com# apt-get install-y kubelet kubeadm kubectl kubernetes-cni master.myco.com# kubeadm init Kubernetes master initialized successfully! You can now join any number of nodes by running the following command: kubeadm join --token 48b69e.b61e2d0dd5c 10.140.0.3 node-01.myco.com# apt-get install -y kubelet kubeadm kubectl kubernetes-cni node-01.myco.com# kubeadm join --token 48b69e.b61e2d0dd5c 10.140.0.3 Node join complete. master.myco.com# kubectl apply -f https://git.io/weave-kube Network setup complete.
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- 21. Kubernetes Pod • Group of one or more containers that are always co-located, co- scheduled, and run in a shared context •Containers in the same pod have the same hostname • Each pod is isolated by • ○ Process ID (PID) namespace • ○ Network namespace • ○ Interprocess Communication (IPC) namespace • ○ Unix Time Sharing (UTS) namespace • Alternative to a VM with multiple processes
- 22. Kubernetes Pod • Containers within the same pod communicate with each other using IPC •Containers can find each other via localhost • Each container inherits the name of the pod • Each pod has an IP address in a flat shared networking space • Volumes are shared by containers in a pod
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- 24. Services • An abstraction to define a logical set of Pods bound by a policy by to access them • Services are exposed through internal and external endpoints •Services can also point to non-Kubernetes endpoints through a Virtual-IP-Bridge • Supports TCP and UDP • Interfaces with kube-proxy to manipulate iptables • Service can be exposed internal or external to the cluster
- 25. Service Types • ClusterIP •Service is reachable only from inside of the cluster • NodePort • Service is reachable through <NodeIP>:NodePort address. • LoadBalancer • Service is reachable through an external load balancer mapped to <NodeIP>:NodePort address
- 26. Service Discovery -Environment variables •Kubernetes creates Docker Link compatible environment variables in all Pods • Containers can use the environment variable to talk to the service endpoint
- 27. Service Discovery -DNS • The DNS server watches Kubernetes API for new Services • The DNS server creates a set of DNS records for each Service • Services can be resolved by the name within the same namespace • Pods in other namespaces can access the Service by adding the namespace to the DNS path • my-service.my-namespace
- 28. Replication Controller • Ensures that a Pod or homogeneous set of Pods are always up and available •Always maintains desired number of Pods • If there are excess Pods, they get killed • New pods are launched when they fail, get deleted, or terminated • Creating a replication controller with a count of 1 ensures that a Pod is always available • Replication Controller and Pods are associated through Labels
- 29. Scaling Pods withReplication Controller
- 30. Replica Set • Replica Sets are the next generation Replication Controllers •Ensures specified number of pods are always running • Pods are replaced by Replica Sets when a failure occurs • New pods are automatically scheduled • Labels and Selectors are used for associating Pods with Replica Sets • Usually combined with Pods when defining the deployment
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- 33. Kubernetes Networking • Highly-coupled container-to-containercommunications • Pod-to-Pod communications • Pod-to-Service communications • External-to-internal communications
- 34. Container to Container •All containers within a pod can reach each other’s port on localhost
- 35. Pod to Pod •Kubernetes imposes the following fundamental requirements on any networking implementation • all pods (containers) can communicate with all other containers without NAT • all nodes can communicate with all containers (and vice- versa) without NAT • the IP that a container sees itself as is the same IP that others see it as • Network model • Can be L3 routed • Can be underlayed (cloud) • Can be overlayed (SDN)
- 36. Pod to Pod:How? • On GCE/GKE • GCE Advanced Routes (program the fabric) • “Everything to 10.1.1.0/24, send to this VM” • Plenty of other ways • AWS: Route Tables • Weave • Calico • Flannel • OVS • OpenContrail • Cisco Contiv • Others...
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- 38. Adoption ~4k Commits in 1.5 +25%Unique Contributors Top 0.01% of all Github Projects 3500+ External Projects Based on K8s Companies Contributing Companies Using
- 39. Thanks for yourtime