Difference between Kubernetes and Docker?

Here’s a table summarizing the differences between Kubernetes and Docker:

Kubernetes	Docker
Container orchestration system	Containerization platform
Used for managing and scaling containerized applications	Used for creating, deploying, and running containerized applications
Manages containers at the cluster level	Manages individual containers
Provides high-level abstractions for containerized applications, such as pods, services, and deployments	Provides a low-level interface for working with containers
Supports automatic scaling, self-healing, and rolling updates	Does not provide built-in support for these features
Supports multiple container runtimes, including Docker	Uses Docker as its default container runtime
Requires a separate container registry for storing and distributing container images	Includes a built-in container registry for storing and distributing container images
Typically used in conjunction with Docker to manage Docker containers	Can be used without Kubernetes for managing individual containers

Here are some examples to illustrate the differences between the two:

Scenario 1: Scaling a containerized application

Kubernetes: Using the kubectl scale command, you can easily scale a deployment to increase the number of replicas of your application running in the cluster.
Docker: Docker does not provide built-in support for scaling an application. You can use a tool like Docker Compose to define a multi-container application, but scaling requires additional configuration and management.

Scenario 2: Managing containerized applications across multiple nodes

Kubernetes: You can define a cluster of nodes and manage containerized applications across them using Kubernetes. Kubernetes provides a variety of tools for managing node resources and distributing workloads across them.
Docker: Docker is primarily focused on managing containers on a single node. While you can use Docker Swarm to manage containers across multiple nodes, it does not provide the same level of functionality and abstraction as Kubernetes.

Scenario 3: Updating a containerized application

Kubernetes: Using Kubernetes, you can update your application by creating a new deployment with the updated container image and rolling it out to your nodes using a rolling update strategy. This allows you to update your application with minimal downtime.
Docker: Updating a containerized application with Docker requires manually stopping the container, pulling the new image, and starting a new container with the updated image. This can result in downtime for your application.