As more and more companies are migrating their infrastructure & architecture to keep up with the cloud-native era, we have seen a rise in tools for digital transformation. Terms like cloud computing, containerization, container orchestration are being used everywhere. When we talk about these, we can’t ignore names like Kubernetes and Docker.
These are the two tools that you have to be comfortable working with as they are both fundamental tools used to enable a company’s digital transformation strategy.
Let us understand how these two work and go hand-in-hand –
Docker makes it easier for developers to run their applications in an identical environment without any issues like dependencies or operating system issues, as Docker containers provide native operating system libraries. Before the introduction of Docker, a developer had to send the code to a tester, but due to several dependency issues, many times the code would not run on the tester’s machine, even though it worked fine on the developer’s machine.
Building & Deploying Containers with Dockers
Docker is an open-source tool that enables developers to make applications anywhere. With Docker, developers can build and deploy their software within containers.
Docker allows you to create Dockerfile, which states the process of building and when it is given to the ‘docker build’ command, it creates an immutable image. This Docker image looks like a snapshot of the app and the dependencies of that app. When the user wants to start the app, the ‘docker run’ command is used to run the image wherever the docker daemon is supported and running.
Docker also provides a cloud-based repository which is known as Docker Hub. This Docker Hub can be used as a registry for storing and distributing the container image that you build.
Some tasks need to be taken care of in the Docker cluster environment, such as scheduling, communication, scalability, etc. To handle these tasks, an orchestration tool is used – such as Kubernetes. It is one of the most popular open-source projects in the world.
Kubernetes – an open-source container orchestration tool, helps handle the main container responsibilities, such as the deployment of a container, scaling, healing, and container load balancing.
Kubernetes is not defined by the process, but by the states. It ensures that the pod is always running after it has been defined. It tries to start a new container when a container goes down or gets killed. Moreover, if the replication controllers are defined as having 3 replicas, Kubernetes will run that number, starting & stopping containers, in the required way.
Kubernetes & Docker Working Together
Docker and Kubernetes go hand-in-hand. One has to have another to work smoothly.
Docker is what helps you “create” containers and Kubernetes is what allows you to “manage” them during runtime. Docker is used to package and ship the app, whereas, Kubernetes deploys and scales the app.
Companies that have fewer containers to manage, can work without using Kubernetes. However, that might only work for start-ups and small companies. In the bigger companies, there is bigger infrastructure and as it rises further, so do the number of containers. As these containers continue to increase, it becomes hard to manage them. This is where Kubernetes is required.
When Kubernetes and Docker are used together, digital transformation becomes much easier as they serve as the tools for the company’s modern cloud architecture. To develop, deploy, and release applications fasters, more and more companies are using Kubernetes and Docker. Though it is highly recommended that while building a stack, you should understand the differences between Docker and Kubernetes.
Final WordsCompanies convert their large monolithic apps into small components with the help of microservices, then package and deploy them separately. These microservices provide more agile, scalable, and resilient apps and also enable you to update, change, and redeploy them faster. This is where tools like Docker and Kubernetes come into play and help the companies.
Kubernetes has spread like fire in the market and more & more organizations continue to adopt it every year. Many global companies have already been using Kubernetes in their massive scale production. On the other hand, Docker is another great piece of technology that has seen tremendous adoption growth over the years. This is the reason for the astounding demand for Docker and Kubernetes around the globe as organizations worldwide are integrating these two major platforms for their containers & microservices.
Learn Kubernetes online and enhance your career
Get certified in Kubernetes and improve your future career prospects better.
Enroll in Cognixia’s Docker and Kubernetes certification course, upskill yourself and make your way towards success & a better future. Get the best online learning experience with hands-on, live, interactive, instructor-led online sessions with our Kubernetes online training. In this highly competitive world, Cognixia is here to provide you with an immersible learning experience and help you enhance your skillset as well as knowledge with engaging online training that will enable you to add immense value to your organization.
Our Kubernetes online training will be covering the basic-to-advanced level concepts of Docker and Kubernetes. This Kubernetes certification course offers you an opportunity to take advantage of connecting with industry’s expert trainers, develop your competencies to meet industry & organizational standards, as well as learn about real-world best practices.
This Docker and Kubernetes Certification course will cover the following –
- Essentials of Docker
- Overview of Kubernetes
- Kubernetes Cluster
- Overview Kubernetes Pod
- Kubernetes Client
- Creating and modifying ConfigMaps and Secrets
- Replication Controller and Replica Set
- Exploring the Kubernetes API and Key Metadata
- Managing Specialized Workloads
- Volumes and configuration Data
- Monitoring and logging
- Maintenance and troubleshooting
- The ecosystem
Prerequisites for Docker & Kubernetes Certification
- Basic command knowledge of Linux
- Basic understanding of DevOps
- Basic knowledge of YAML programming language (beneficial, not mandatory)