Docker has created a small revolution in the development of container technology, as virtualization with self-contained packages as containers opens up completely new possibilities for software development work. Kubernetes, on the other hand, has met the need for efficient container management created by this new way of working. Management is based on Docker or other container platforms, which is why the term Kubernetes Docker does not exist. Docker also offers an orchestration tool called Docker Swarm for managing, scaling and moving containers - so it should be called Kubernetes vs Docker Swarm.

Kubernetes has advantages for companies:

• Accelerates development speed and convenience through homogeneous development, test and live environments
• Multi-cloud capability and portability, as applications work independently of the environment without compromising functionality
• Better stability and availability thanks to a higher degree of automation, greater robustness and less management and troubleshooting effort
• Cost optimization and effort reduction through optimal packing density as well as efficient utilization and use of resources

To get started with Kubernetes for microservices, you need a REST API that is provided as a microservice in containers on Kubernetes. The necessary files are available in a Kubernetes GitHub repository. This GitHub repository must be cloned and then the directory path changed. There are numerous simple instructions for using Kubernetes GitHub.

Different open source ingress controllers can be set up for clusters created with Container Engine for Kubernetes. The Kubernetes ingress controllers are set up together with the corresponding access controls in existing clusters. A Kubernetes ingress controller includes an ingress controller deployment that provides an image containing the binary for the ingress controller and the ingress controller service Nginx. Read a specific Kubernetes tutorial that explains how to set up a Kubernetes Ingress Controller in a cluster. Here are the most important steps:

• Create access rules for the Ingress controller
• Create service account and Ingress controller
• Check whether the Ingress Controller service is running as a load balancer service
• Create TLS secret

The Kubernetes Dashboard is a web-based user interface - as an alternative to the Kubernetes command line tool Kubectl. It can be used to deploy containerized applications in a Kubernetes cluster or to troubleshoot such applications. The Kubernetes architecture consists of containers, pod (collection of containers that work together for an application), node (virtual or physical machine on which one or more pods run) and cluster. The design of a Kubernetes cluster is based on three principles: Security, ease of use and extensibility. The Kubernetes architecture is also based on the principle of master (manages and controls nodes and ensures constant monitoring) and slave (controlled parts of the system).

A Kubernetes cluster consists of a series of node machines for running containerized applications. When using Kubernetes, a Kubernetes cluster is executed. This cluster contains at least one control plane - responsible for the state of the cluster and defining the container image used and the application to be executed - and one computing machine or node. The Kubernetes cluster makes it possible to plan and execute containers on different machines, detached from individual machines, because they are abstracted in the entire cluster. A Kubernetes cluster has a desired state that defines:

• Execution of applications and other workloads
• Use of Kubernetes Image
• Available resources
• Further configuration details

Kubernetes means helmsman in Greek, which is why the Kubernetes logo is a steering wheel. According to the Kubernetes Wiki, as an open source system, it automatically sets the path for the provision, scaling and management of containers. This also includes controlling the infrastructure required for the path, based on Linux container technology. According to the Kubernetes declaration in containers, the services can be automatically and intelligently distributed across the entire Kubernetes cluster. This allows the available resources to be optimally utilized. Each container contains the complete source code and all dependencies of a service. Kubernetes searches for servers with available capacity and only uses computing power until the task has been completed. This means that even if a server fails, the running containers are automatically moved to other servers in the data center. In a Kubernetes course, participants learn more about the function of Kubernetes.

Kubernetes - also known as K8s - is a container management tool that can also handle large numbers of containers. The container orchestration system relies on the automation of processes. This makes it easier for developers to test, maintain and publish applications. After the Kubernetes installation via Kubernetes download, e.g. for the Kubernetes Windows application, the Kubernetes command line program kubectl should be used. There are several methods for Kubernetes Install kubectl:

• Installing the kubectl application using the system's own package management
• Installation with snap on Ubuntu
• Installation with Homebrew on macOS
• Installation with Macports on macO
• Installation with PowerShell from PSGallery
• Installation on Windows with Chocolatey or scoop
• Download as part of the Google Cloud SDK
• Installing the kubectl application with curl

After that, kubectl still needs to be configured.