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Difference Between Docker Vs Kubernetes

StarAgilecalenderJune 25, 2020book20 minseyes2250

Docker vs Kubernetes is a comparative study to know them in greater detail.

Cloud technologies are the latest buzz words and transforming lives and technologies across all domains.  There are a lot of popular commercial cloud service providers and there are open source cloud providers also. 

Cloud architecture benefits in various ways than on-premises architecture such as no cost of deployment, scalability, business continuity, collaboration, meter cost that is Pay-as-u-Use, no overheads, no maintenance cost, and easy to deploy architectures. 

Cloud technology consists of three service models and they are Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). There are 4 deployment models and they are Private, Public, Community, and Hybrid Cloud. 

You can deploy both open sources as well as private applications on the cloud. In this article, we will get to know about 2 cloud technologies namely Kubernetes and docker

What are Kubernetes and dockers?

We will start knowing about the dockers first and it is the software that runs on the OS and supports many containerized applications. Containerization is a concept that makes each application runs on an OS that has its unique instance of the OS. By this, the application is said to be run in a container in such a way that it is independent and isolated from every other application and systems and gets its OS instance. Docker has such many containers and each container has its specific application. Docker allows creation, running, and managing containers in just one OS. 

Traditional Hypervisor and docker host

Unlike VM’s which take a long time to deploy and also configure the hardware in the cloud, we use docker which virtualizes the OS and runs isolated applications on top of the single OS. Each application with its libraries and binaries forms the container.

Now, coming to Kubernetes, it is used for the process of automating the scaling, fill in, managing, and getting rid of containers. It is used for orchestrating the containers. Kubernetes allows us to run containers across multiple compute nodes. 

There are 2 concepts to know in Kubernetes such as nodes and pods. 

  • Nodes are the VM’s and base metal servers that it manages. 
  • Pods are the basic unit of deployment in the Kubernetes, it is the process of combining 2 or more similar and interdependent containers. 

For example, if you have a web server and cache server that are interdependent on one another they can be put in a single pod. 

There are 2 types of nodes they are a Master node and worker node. 

  • The master node is the node where the Kubernetes is installed. 
  • Worker nodes are where the applications are installed and run.

 

Kubernetes node

Features of Docker

There are several features of docker, they are as follows,

  • Application Isolation
  • Easy and Faster Configuration
  • Increase productivity
  • Routing Mesh
  • Security Management
  • Services
  • Swarm

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We will look at 3 of the features in detail

a)Application Isolation – It is used to isolate the independent application and binds it with the OS with a unique and distinct instance. Thus it provides application isolation by isolating the application containers.

b)Swarm – This tool is used to schedule and cluster the Docker containers. It uses docker API as the front end which provides us the various tools to control it. It can be used as a pluggable backend and helps us to control the cluster of hosts as a single virtual host.

c)Security Management – It helps to create security management by allowing us to save secrets in the swarm itself. Then we can give the service access to certain secrets. Some of the commands such as secret create and secret inspect can be executed using this.

Features of Kubernetes

Again before we compare Docker vs Kubernetes you need to know their features in detail. Here you go with the same.

  • Taint and Tolerations
  • Feature gates
  • Sidecars
  • Custom Controllers
  • Helm Charts
  • Cluster Federation 
  • PodDisruptionBudget
  • Health Checking
  • GoModules
  • Custom Scheduling

We will discuss 3 of them in detail.

1) Sidecars – Sidecars enables the pod to have an additional container to be used as a watcher or proxy. This additional container then can be used for managing the applications. The sidecars can be used for logging or authentication of the primary containers. Sidecars can be used without modifying the source code of the primary container and can communicate with all the containers in a particular pod.

2) PodDisruptionBudget – PDB is the feature of Kubernetes which restricts the number of Pods in the cluster. It allows keeping the minimum number of pods active when there is auto-scaling down, maintenance and upgrading. When there is an administrative activity it helps to prevent application availability and performance from being impacted.

3) Health Checking – We can check the health of the pod or applications by putting a probe called a kubelet agent. 

There are 3 types of probes available they are:

a)Readiness Probe – This determines whether the pods are ready to take the requests. If the probe fails, then the IP address of the pod is removed from any endpoints that direct the traffic to the pod.

b)Liveness Probe – This determines if the container is live and if not then it kills the container and the container is restarted.

c)Start-Up probe – This determines if the application inside the container is ready and live, if not it kills the container and restarts the container.

Probes can be customized with parameters such as minimum retry attempts, delayed runtimes, timeouts, and minimum success or failure thresholds

Docker vs Kubernetes

Serial #
Parameters
Docker
Kubernetes
1DefinitionDocker allows us to make containers that host isolated applications.Kubernetes is used for the process of automating the scaling, fill in, managing, and get rid of containers. 
2Developed byDocker IncGoogle Inc
Features
  • Swarm
  • Increase productivity
  • Security Management
  • Easy and Faster Configuration
  • Routing Mesh
  • Application Isolation
  • Services
  • Cluster Federation
  • Custom Controllers
  • Custom Scheduling
  • Feature gates
  • GoModules
  • Health Checking
  • Helm Charts
  • PodDisruptionBudget
  • Sidecars
  • Taint and Tolerations
4Cluster SetupSetup is complicated. Cluster Strength is strong.The cluster setup is simple. Requires only two commands. Cluster Strength not as strong
5CommunityUser communities update the softwareOpen source communities and big companies like Google, Amazon, Microsoft, and IBM support Kubernetes
6Companies usingeBay, Spotify, Twitter, Pinterest, etcBuffer, 9GAG, Evernote, Intuit, etc.
7CompatibilityCustomizable and Less extensiveHighly customizable and highly comprehensive 
8Container LimitMaximum of 95000 containerMaximum of 300000 containers
9Data volumeShares storage volumes between multiple containers in the same Pod.Shares storage volumes with any other container
10Github forks15.5 k18.7 k
11Github starts53.8 k54.1 k
12InstallationEasy & fastComplicated & time-consuming.
13Large clustersHigh Speed is considered for the strong cluster statesDoes not consider the speed but Offers container deployment and scaling, even in large clusters 
14Load balancingAuto load-balancing is doneManually configure your load balancing settings
15Node SupportSupports up to 2000 nodes and moreSupports up to 5000 nodes
16OptimizationOptimized for a single large clusterOptimized for multiple smaller clusters of SDLC
17Public cloud service providerAzure only.Google, Azure, and AWS
18ScalabilityScaling up is faster than K8S. But, its cluster strength is not as robust.Scaling up is slow compared to docker. However, guarantees stronger cluster state Load balancing needs manual service configuration.
19ScalingNo AutoscalingAuto-scaling
20SlaveWorkerNodes
21Support for logging and monitoring toolIt allows you to use a 3rd party tool like ELKIt offers an in-built tool for logging and monitoring.
22Tolerance ratioHigh fault toleranceLow fault tolerance
23UpdatesAn agent update can be performed in place.A cluster can be upgraded in place.

Docker vs Kubernetes – It’s time to decide

Docker can be used without Kubernetes as it becomes very challenging to use Kubernetes. Whereas, Kubernetes is a container orchestration tool and can be used with Docker as well as other containerized applications. 

Both do not depend on each other; they can be used independently of each other. However, they can be used with one another also and its features can be leveraged to make the container applications stronger.

If you want to learn about Docker vs Kubernetes do enroll for the DevOps Online Training at StarAgile or call us on +91 – 80502 05233

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