Kubernetes and Docker are leading containerization technologies. But both do not have the same functions and therefore offer different benefits. While new versions of Docker have built-in Kubernetes integration, one can implement the technologies separately. So, it is crucial to understand which is better and how they complement each other.

Understanding Kubernetes and Docker

Kubernetes

Kubernetes is a container management software that is open source. It was developed on the Google platform and is highly flexible and suitable for multiple complex applications. Businesses with different types of architecture can use Kubernetes as it is ideal for managing containerized applications in cloud, virtual or physical environments.

Kubernetes has a few unique features that add to its functionality. These include the following:

• Automated Scheduling

Automated scheduling is available with Kubernetes. Therefore, there is no need for a manual workforce to initiate or stop routine processes.

• Self-Healing Properties and Services

The Kubernetes software has self-healing properties. So, clients will not face the impact of any errors within applications or management systems.

• Declarative Configuration

Kubernetes offers declarative configuration. Due to this feature, multiple files for configuration can be stored to create, update, and even delete specific objects.

• Horizontal Scaling of Applications and Load Balancing

Kubernetes offers horizontal scaling of all applications. It is also instrumental in maintaining load balance.

• Auto-Scalability

Auto-scalable infrastructure is available with Kubernetes. While most companies invest in IT infrastructure managed services, it is also essential to seek automated infrastructure. Such infrastructure is easier to monitor and manage.

• Creation of Predictable Infrastructure

Kubernetes allows clients to create an infrastructure that is easily predictable and accessible. Predictability helps to determine the condition of the applications and operations and resolve issues quickly.

• High-Density Resource Utilization

Utilization of available resources is crucial for the proper functioning of applications, and Kubernetes initiates a high density of resource utilization. High-density resource utilization helps determine the performance metrics over a particular period.

• Environmental Consistency

Kubernetes introduces a consistent environment suitable for various processes like testing, development, and production.

• Application-Centric Management

The management system introduced by Kubernetes focuses on the application rather than any other aspects of the business.

Docker

While Kubernetes is essential for management purposes, Docker is a lightweight, open-source containerization technology. Businesses that have cloud environments and are focused on services for application packaging usually prefer Docker. The technology also supports application deployment automation, which is done in easily portable and lightweight containers.

Here are the features of Docker:

• Easy and Quick Modeling

A machine learning model may be essential for certain companies. For such modeling to work, training sessions are necessary. Docker can create a working environment that supports the model and helps run it.

• Affinity and Placement

Container affinity is when the containers are scheduled on the available or nearest nodes. Placement in Docker has several constraints that configure services in a way that allows them to run on specific nodes. These have a particular metadata set that supports deployment.

• Secure Isolated Environments

The containers are isolated environments, and they are ideal for packaging applications. Docker ensures the security of these isolated environments and allows operations teams to run multiple containers on one particular host at the same time.

• Increased Productivity for Developer

Docker enables developers to be more productive by ensuring faster and more efficient processes. Developer productivity is observed across platforms and in the creation and deployment of containerized software.

• Version Control

Version control is available for Docker images. As they function in a manner similar to GIT repositories, one can implement changes to the Docker images.

• Agility

Docker promotes agility by allowing clients to create container images from easily understandable code. Simple code instructions enable the containers to be used in any operating system without any issues.

• Improved Operational Efficiency

Most IT operations are central to cloud environments, and therefore, Docker is essential. It enables processes to be efficient and modern and improves the application performance metrics.

Kubernetes and Docker have different features. But they can be integrated, if necessary, and this will provide better automation and management services.

Kubernetes vs. Docker: Which to Choose?

To choose between Kubernetes and Docker, it is essential to understand their advantages and benefits for a business. Kubernetes is ideal for companies that require auto-scaling but can work with simple cluster setups and moderate cluster strength. However, for businesses that are using cloud enablement services and are looking to migrate from traditional systems towards cloud infrastructure, Docker may be a better choice.

Listed below are a few key differences between Kubernetes and Docker. Before choosing, one should thoroughly go through these differences and settle for the most suitable software solution.

• Kubernetes offers auto-scaling. However, no scaling services are available with Docker.
• One can easily set up the cluster with Kubernetes with just a couple of commands. However, the cluster strength will not be very high. On the other hand, cluster setup for Docker can be challenging. It will involve a complicated set of commands. However, cluster strength will be extremely high.
• Unlike cluster setup, the installation of Kubernetes is not simple or easy. It is rather time-consuming. But the installation of Docker is quick and relatively hassle-free.
• Kubernetes shares the data volume with other containers. While the same is available in Docker, volume sharing can only be done between containers within the same pod.

Load balancing is available for both. However, in Kubernetes, load balancing must be manually configured. But automated load balancing is available in Docker.

Conclusion

Both Kubernetes and Docker have advantages. However, they are not beneficial to the same companies. For example, businesses looking for valuable industry experience can choose Kubernetes since Google has developed it. But, if a business is planning a stateless migration, Kubernetes is not preferable. While it will support the environment, it will involve a lot of effort from the operations team. But Docker can easily be used, especially for increased functionality and quick installation. Other businesses looking for shareable storage, scaling, and container deployment can opt for Kubernetes. Therefore, it is crucial to weigh all pros and cons and then select a software solution.