In the world of containerization both the tools server as vital tools with respective their features. Docker is a platform for containerization, while Kubernetes manages containers for numerous container runtimes. There is various container runtimes supported by Kubernetes, some of those are as follows:
- Docker
- Containers
- CRI-O
- Mirantis Container Runtime
In this article, we will through be discussing what is docker, containers benefits, advantages, disadvantages and use cases and then about the Kubernetes, its benefits, advantages, disadvantages, use cases and then final making the comparison between these two, when to use when and their limitations.
Master DevOps with industry experts to streamline your workflow and deliver high-quality software rapidly. Checkout: DevOps Engineering - Planning to Production
What are Containers?
Container package application software with their dependencies in order to abstract from the infrastructure it runs on. Now containers basically offer a logical packaging mechanism in which applications can be abstracted from the environment in which they actually run. Now, this decoupling allows container-based applications to be deployed easily and consistently regardless the target environment is a private data center, the public cloud even a developer’s personal laptop.
What is Kubernetes?
Kubernetes is a container management system developed in the Google platform (GO Language). It helps you to manage a containerized application in various types of physical, virtual, and cloud environments. Google Kubernetes is a highly flexible tool to deliver even complex applications consistently. Applications run on clusters of 100 to 1000 individual services.
Key Feature of Kubernetes
The following are the key features of Kubernetes:
- Runs everywhere: It is an open-source tool and gives you the freedom to take advantage of on-premises, Public & hybrid cloud infrastructure letting you move your workload anywhere you want.
- Automation: For instance, Kubernetes will control for you with a servable host of the container that will be launched.
- Interaction: Kubernetes is able to manage more clusters at the same time. & It allows not only horizontal but even vertical scaling also.
- Additional services: It provides additional features as well as the management of containers, Kubernetes offers security networking & storage services.
- self-monitoring: It also gives you a provision of self-monitoring as it constantly checks the health of nodes and the container itself.
Kubernetes Advantages
The following are the advantages of Kubernetes:
- Automatic container schedule: Kubernetes may reschedule a container from one node to another to increase resource utilization. This means you get more work out of the same number of machines, which saves money.
- Service discovery: When you have a bunch of services that need to communicate with each other it’s critical that they are able to find each other first. This is especially true because containers are automatically scheduled and may potentially get moved around. Thankfully, Kubernetes makes it easy for containers to communicate with each other.
- Self-Healing: Kubernetes automatically monitors containers and reschedules them if they crash or are terminated when they shouldn’t. Kubernetes will also reschedule containers in the event that the node that they’re living on fails.
- Rolling Upgrades: Fortunately, Kubernetes has the ability to perform rolling updates. This is where old containers are judiciously swapped out of a new version of the same containers all without disrupting the service provided by the running application.
Kubernetes Disadvantages
The following are the disadvantages of Kubernetes:
- Steep learning curve: Kubernetes is not an easy platform to learn, even for the most experienced developers and DevOps engineers.
- Install & configure: Kubernetes consists of multiple no. of components that should be configured and installed separately to initialize the cluster. if you install Kubernetes manually you should also configure the security which includes creating a certificate authority & issuing the certificate
- No high availability: Kubernetes does not provide high availability mode by default to create a fault-tolerant cluster you have to manually configure HA for your etcd cluster.
- Compatibility issues: Sometimes when you have containers you may need to use Docker with communities. But at that time communities were not compatible with existing Docker CLI and composing tools. And it requires more effort during the migration whenever you have to migrate to a stateless It actually requires many efforts.
Use Cases of Kubernetes
The following are the use cases of Kubernetes:
- Microservices Architecture: Kubernetes efficiently manages and scales microservices, ensuring seamless communication and deployment across distributed systems.
- CI/CD Pipelines: By automating deployment processes, Kubernetes enhances continuous integration and delivery, reducing time to market and improving software quality.
- Hybrid and Multi-Cloud Deployments: Kubernetes supports seamless application deployment and management across multiple cloud providers and on-premises environments, offering flexibility and resilience.
- Resource Optimization: Kubernetes dynamically allocates resources based on workload demand, maximizing hardware utilization and reducing operational costs.
What is Docker?
Docker is a platform used to containerize your software, using which you can easily build your application, the package with the dependencies required for your application into the container further, these containers are easily shipped to run on other machines. Docker is simplifying the DevOps methodology by allowing developers to create templates called images using which you can create a lightweight, virtual machine called a container.
Docker is making things easier for software industries giving them the capabilities to automate the infrastructure, isolate the application, maintain consistency, and improve resource utilization.
Key Features of Docker
The following are the key features of docker:
- Easy configuration: This is one of the key features of Docker in which you can easily deploy your code in less time & effort as you can use Docker in a wide variety of environments. The requirement of the infrastructure is no longer linked with the environment of the application helping in configuring the system easier and faster.
- You can use swarm: It is a clustering and scheduling tool for Docker containers, SO swarm used the Docker API as a frontend which helps us to use various tools to the controller, it also helps us to control clusters for Docker host as a single virtual host, it is a self-organizing group of engines that is used to enable, pluggable backbends.
- Manages security: Docker allows us to save secrets in the swarm itself. And then choose to give services access to certain secrets. It includes some important commands to the engine like secret inspection, secretly creating, etc.
- Services: Service is a list of tasks that lets us specify the state of a container inside of a cluster. Each task represents one instance of a container that should be running and Swan schedules them across the nodes.
- More Productivity: By easing technical configuration & rapid deployment of applications no doubt it has increased productivity, Docker not only helps to execute the application in an isolated environment but also reduces the resources also.
Docker Advantages
The following are the advantages of docker:
- Build app only once: An application inside a container can run on a system that has Docker installed. So there is no need to build and configure apps multiple times on different platforms.
- More sleep and less worry: With Docker, you test your application inside a container and ship it inside a container. This means the environment in which you test is identical to the one on which the app will run in production
- Portability: Docker containers can run on any platform. It can run on any local system, Amazon EC2, Google Cloud, Virtual Box, etc.
- Version control: Like git, Docker has a built version control system. Docker containers work just like GIT repositories, allowing you to commit changes to your Docker images and version control them.
Docker Disadvantages
The following are the disadvantages of docker:
- Missing feature: It has got Missing features. There are tons of features that are under progress like container self-registration, self-inspect copying files from host to container, and many more.
- Data in the container: When the container is going down after that it needs a backup and recovery strategy although we have several solutions for that they are not automated or not very scalable yet.
- Graphical app: Docker was designed as a solution for deploying server apps that do not require a graphical interface, while there are some creative strategies such as x11 video forwarding that u can use to run GUI apps inside the container.
- The benefit is few: Generally, only apps that are designed to run as a discrete set of microservices stand to gain the most from containers, otherwise, Docker's only real benefit is that it can simplify application delivery by providing an easy package machinima.
Use Cases of Docker
The following are the use cases of Docker:
- Simplified Development and Testing: Docker enables developers to create, test, and deploy applications in consistent environments, reducing "it works on my machine" issues.
- Microservices Architecture: Docker facilitates the adoption of microservices by allowing the packaging and deployment of each service as a lightweight, portable container.
- Continuous Integration and Continuous Deployment (CI/CD): Docker integrates seamlessly with CI/CD pipelines, enabling automated testing, building, and deployment of applications.
- Environment Standardization: Docker ensures consistency across multiple development, testing, and production environments, making it easier to manage and deploy applications across various stages.
Docker or Kubernetes: Which one is right for you?
When compared to Kubernetes, Docker takes less setup and configuration. For example, you may deploy your application using YAML files, automatically achieve the appropriate state, load balance amongst containers in the cluster, and provide security and access control for your services. If the burden is not heavy, choosing Docker Swarm instead of Kubernetes is a smart option.
The initial setup of Kubernetes is more difficult, but it has a lot of functionality. We can manage network ingress and observability with kubernetes. The majority of cloud platforms offer Kubernetes as services like EKS, AKS, and GKS, allowing Kubernetes to benefit from functions like autoscaling, load balancing, etc. The pods and containers that are deployed in Kubernetes can be segregated with the use of a namespace. If you want high security and excellent availability, Kubernetes is a fantastic option.
Using Kubernetes with Docker
Kubernetes will serve as a container orchestration tool when used with Docker, and Docker will assist us in creating the images needed to execute containers in Kubernetes. All container deployments, scaling, and scheduling to the correct node in the cluster may be handled by Kubernetes.
Kubernetes vs Docker: Comparison Table
The following are the difference between kubernetes and docker:
Kubernetes | Docker |
|---|
| Kubernetes is an open-source platform used for maintaining and deploying a group of containers | Docker is a tool that is used to automate the deployment of applications in lightweight containers so that applications can work efficiently in different environments. |
| In practice, Kubernetes is most commonly used alongside Docker for better control and implantation of containerized applications. | With Docker, multiple containers run on the same hardware much more efficiently than the VM environment & productivity of Docker is extremely high. |
| Applications are deployed as a combination of pods, Deployment, and services. | Apps are deployed in the form of services. |
| It supports auto-scaling of the container in a cluster. | Docker does not support auto-scaling. |
| The health check is of two kinds: liveness and readiness. | Health checks are limited to service. |
| Hard to set up and configure. | Docker’s setup and installation are easy. |
| It does not have extensive documentation but is quite less than Docker. But it does include everything from installation to deployment. | Docker documentation is more effective, more extensive, and has even more capabilities & it includes everything from installation to deployment & quick-start instructions as well as a more detailed tutorial. |
| Kubernetes installation is provided to be quite difficult than Docker and even the command for Kubernetes is quite more complex than Docker. | Docker installation is quite easier, by using fewer commands you can install Docker in your virtual machine or even on the cloud. |
| Azure, buffer, intel, Evernote, and Shopify Using Kubernetes. | Google, Amazon, ADP, VISA, citizens bank, and MetLife companies using Docker. |
Similar Reads
Kubernetes Tutorial
Kubernetes is an open-source container management platform that automates the deployment, management, and scaling of container-based applications in different kinds of environments like physical, virtual, and cloud-native computing foundations. In this Kubernetes Tutorial, you are going to learn all
8 min read
Introduction to Kubernetes
Application Deployment
What are Kubernetes Containers?
Kubernetes is an open-source container orchestration framework that was originally developed by Google. Container orchestration is automation. It can facilitate you to deploy the identical application across different environments like physical machines, virtual machines cloud environments, or perha
15 min read
Kubernetes - Introduction to Container Orchestration
In this article, we will look into Container Orchestration in Kubernetes. But first, let's explore the trends that gave rise to containers, the need for container orchestration, and how that it has created the space for Kubernetes to rise to dominance and growth. The growth of technology into every
4 min read
Kubernetes - Images
Pre-requisite:- Kubernetes A container image is used to represent binary data that is being used to encapsulate an application and all its software dependencies. Container images can be represented as executable software bundles that run standalone and make very defined assumptions about their runti
3 min read
Kubernetes - Jobs
Pre-requisite: Kubernetes In the Kubernetes world, jobs are considered an object to act as a supervisor or controllers of a task. The Kubernetes job will create a pod, monitor the task, and recreate another one if that pod fails for some reason. Upon completion of the task, it will terminate the pod
4 min read
Kubernetes - Labels & Selectors
An open-source container management platform called Kubernetes automates the deployment, scaling, descaling, and load balancing of containers (also called a container orchestration tool). It was created by Google in Golang and has a sizable community as a result of that. Google eventually donated it
5 min read
Kubernetes - Namespaces
Kubernetes Namespace is a mechanism that enables you to organize resources. It is like a virtual cluster inside the cluster. A namespace isolates the resources from the resources of other namespaces. For example, You need to have different names for deployments/services in a namespace but you can ha
9 min read
Kubernetes - Node
Kubernetes Nodes are the Worker or master machines where the actual work happens. Each Kubernetes node has the services required to execute Pods and is controlled by the Control Plane. Each Kubernetes Node can have multiple pods and pods have containers running inside them. 3 processes in every Node
13 min read
Kubernetes - NodePort Service
NodePort service in Kubernetes is a service that is used to expose the application to the internet from where the end-users can access it. If you create a NodePort Service Kubernetes will assign the port within the range of (30000-32767). The application can be accessed by end-users using the node's
5 min read
Kubernetes - ClusterIP vs NodePort vs LoadBalancer
Three main service types are used in Kubernetes networking: ClusterIP, NodePort, and LoadBalancer. Each has a specific function in controlling external access and service-to-service communication. Comprehending their distinctions is essential for efficiently coordinating applications. This article e
7 min read
Kubernetes - Services
Software deployment, scaling, and management are all automated using Kubernetes, an open-source container orchestration system. K8s is another name for Kubernetes. Kubernetes was initially developed by Google and is now managed by the Cloud Native Computing Foundation. Despite the fact that it now s
3 min read
Kubernetes Pods: How to Create and Manage Them
Kubernetes is an open-source container orchestration system mainly used for automated software deployment, management, and scaling. Kubernetes is also known as K8s. Kubernetes was originally developed by Google, but it is now being maintained by the Cloud Native Computing Foundation. It was original
13 min read
How to Run Shell Commands in Kubernetes Pods or Containers
In Kubernetes, we create pods by adding an extra layer of information on containers. This Kubernetes in short is known as K8s, an open-source container orchestration tool developed by Google. It is used to orchestrate the containers for bringing Agility in software deployment through scaling, and ma
6 min read
Kubernetes - Creating Multiple Container in a Pod
Pre-requisite:- Kubernetes Kubernetes is a container management tool and it automates container deployment, load balancing, and container scaling. It is open-source and developed by Google in 2014 and written in Golang. All cloud providers adopt Kubernetes. It is scheduled runs and manages isolated
3 min read
Kubernetes - Replication Controller
With the help of the open-source container orchestration technology Kubernetes, software deployment, scalability, and management are mostly automated. Another name for Kubernetes is K8s. Google created Kubernetes, which is now overseen by the Cloud Native Computing Foundation. Even though it now wor
7 min read
Kuberneters - Difference Between Replicaset and Replication Controller
Pre-requisite: Kubernetes Kubernetes is also known as K8s is an open-source container orchestration tool developed by google which is used for automating software deployment, scaling, and management. Currently, it is being maintained by the cloud native computing foundation(CNCF). K8s has two versio
4 min read
What is Kubernetes Deployment?
Kubernetes is an open-source Container Management tool that automates container deployment, container scaling, descaling, and container load balancing (also called as container orchestration tool). It is written in Golang and has a huge community because it was first developed by Google and later do
10 min read
Configmaps
Kubernetes - ConfigMaps
An open-source container orchestration system called Kubernetes is primarily used for automated software deployment, scaling, and management. Another name for Kubernetes is K8s. Originally developed by Google, Kubernetes is now managed by the Cloud Native Computing Foundation. Although it now suppor
10 min read
Kubernetes - Create Config Map From Files
Pre-requisite: Kubernetes While creating a manifest file in Kubernetes, we can define environment variables. However, when you have a lot of manifest files, it will become difficult to manage the environment data stored in various manifest files. To overcome this issue, we can manage environment dat
3 min read
Kubernetes - Create ConfigMap From YAML File
A ConfigMap is a dictionary consisting of non-confidential data. Its primary role is to keep the configuration separate from the container image. ConfigMap can be created in different ways. This article will cover the declarative approach to creating ConfigMap from the YAML file. Example: apiVersion
1 min read
Kubernetes - Config Map From Directory
Pre-requisite:- Kubernetes Software deployment, scalability, and administration are mostly automated using Kubernetes, an open-source container orchestration framework. K8s is another name for Kubernetes. Kubernetes was initially developed by Google and is now managed by the Cloud Native Computing F
2 min read
Kubernetes - Injecting ConfigMap as Files
Pre-requisite:- Kubernetes The automated deployment, scaling, and administration of software using a system called Kubernetes, an open-source container orchestration tool. K8s is another name for Kubernetes. Kubernetes was initially developed by Google and is now managed by the Cloud Native Computin
3 min read
Kubernetes - Injecting ConfigMap in Pods
Pre-requisite: Kubernetes Leveraging the open-source container orchestration engine Kubernetes to automate the deployment, scalability, and management of applications. Another name for Kubernetes is K8s. Google originally created Kubernetes, which is currently overseen by the Cloud Native Computing
3 min read
Scaling and Updating Applications
Kubernetes - Service DNS
An open-source container orchestration system called Kubernetes is primarily employed for the automated deployment, scaling, and management of software. Another name for Kubernetes is K8s. Initially created by Google, Kubernetes is currently maintained by the Cloud Native Computing Foundation. Altho
11 min read
Additional Topics
What is Kubernetes API ?Complete Guide
Kubernetes API is an application that serves Kubernetes functionality through a RESTful interface and stores the state of the cluster via HTTP. Users can directly interact with the Kubernetes API or via tools like kubectl. It supports retrieving, creating, updating, and deleting primary resources vi
14 min read
Kubernetes - Taint and Toleration
A pod is a group of one or more containers and is the smallest deployable unit in Kubernetes. A node is a representation of a single machine in a cluster (we can simply view these machines as a set of CPU and RAM). A node can be a virtual machine, a physical machine in a data center hosted on a clou
6 min read
Kubernetes Resource Model (KRM) and How to Make Use of YAML?
Here we will explain how YAML can simplify system management and automation of most processes so that Kubernetes is a convenient working system. Basic Kubernetes Models: KRM and Everything-as-CodeAccording to Kubernetes co-founder Brian Grant, Kubernetes is very convenient thanks to the Kubernetes R
6 min read
Installing Private Git Server on K8s Cluster with Gitea and AKS
In this article, we are going to install a self-hosted Gitea server on top of Azure Kubernetes Service with Helm and set up a git repo. Having a private Git server might be beneficial these days. Gitea is a community-managed Git-compatible lightweight code hosting solution written in Go. It is publi
4 min read
Enable Remote Debugging For Java Application Deployed in Kubernetes Environment
During Development, developers have to debug their applications to resolve code problems. In order to debug a java application which is deployed on remote machine in a Kubernetes cluster, first developer has to do some steps to enable its application ready for debugging. Below are the manual steps t
2 min read
How to Enable JMX For Java Application Running in the Kubernetes Cluster?
Many times we want to monitor our application's CPU utilization, background thread behavior, and most importantly memory consumptions for tasks that deal with loads for data (500MB - 1GB) or much more data. Such monitoring helps to find which operation is causing heavy CPU or Memory utilization and
3 min read