While trying out new technologies is certainly enticing, a stable and reliable platform should always be the goal.įollowing are the three basic models for Kubernetes deployment:

With its somewhat steep learning curve and extensive setup, hosting Kubernetes can be challenging. This is where services jump into action to provide static IP and DNS names for selected pods with appropriate labels. Pods are ephemeral, which means they can be rescheduled to other nodes or deleted when no longer needed. Service: A Kubernetes-specific abstraction that allows you to route traffic to designated pods. Each of the nodes provides an environment for managing and running nodes inside the cluster.Ĭluster: A set of virtual or physical machines that contains the control plane processes such as the Kubernetes API server, scheduler, and core resource controllers and nodes (the worker machines covered above).

Depending on how the cluster is hosted, nodes can be either virtual machines or physical computers.

Node: Nodes are worker machines that run applications stored in containers. Containers inside the pod share the network interface (the same network namespace and port space), volumes (which can be mounted inside any of the containers), and resources (CPU and memory are specified for a pod and shared across all of the containers.). Pod: A basic Kubernetes component that consists of one or more containers that are deployed on a single host. Containers are based on images that include everything required to run the application-the app’s code (as mentioned), runtime, tools, libraries, and settings. It contains the application’s code and dependencies running in an isolated environment. Basic K8s ConceptsĬontainer: A piece of software to help create a single instance of an application. Before we get into the details, let’s review the basic components of a Kubernetes cluster. This article provides a brief overview of how communication between components inside the cluster is designed. Fortunately, there are existing networking implementations that take care of the internal connectivity. Maintaining the networking inside clusters manually would be an ordeal. Originating from Google’s Borg, it supports automatic deployment, scaling, and management of containerized applications. Kubernetes is one of the most popular container orchestration tools used in the vast microservices landscape.

What is kubernetes networking