Essential Kubernetes concepts explained
Get your hands on Kubernetes in few minutes
Kubernetes is an open source container orchestration system that automates the deployment, scaling, and management of containerized applications. It was originally developed by Google, and is now maintained by the Cloud Native Computing Foundation.
Kubernetes enables developers to build, deploy, and manage applications quickly and reliably across multiple cloud providers, on-premise environments, and hybrid cloud environments.
Kubernetes is designed to allow applications to be deployed in a highly available and fault-tolerant manner, as well as to provide the necessary infrastructure to support the development and deployment of distributed applications.
Fundamentals of Kubernetes
Kubernetes is based on a few core concepts that are essential to understanding how it works. These concepts include nodes, pods, services, and labels. Each of these components is necessary for Kubernetes to operate, and together they form the basis of the Kubernetes architecture.
Nodes
Nodes are the physical or virtual machines in which Kubernetes runs. Each node contains a Kubernetes agent, which is responsible for monitoring and managing the Kubernetes cluster. Nodes also contain the container runtime environment, which is used to launch and manage the containers that are part of the application.
Pods
Pods are the smallest unit of deployment in Kubernetes. A pod is a group of containers that are deployed together and share resources. Pods are usually composed of one or more containers, and can be used to deploy applications or services.
Services
Services are the entry points into the Kubernetes cluster. They are responsible for exposing the application to the outside world, and provide a way for external clients to access the application. Services are usually associated with a set of pods, and are responsible for routing traffic to the correct pod.
Labels
Labels are used to identify and group objects within the Kubernetes cluster. Labels can be used to label nodes, pods, and services, and are used to organize and manage the Kubernetes cluster.
Deployment
Kubernetes deployments are used to deploy and manage applications in the cluster. Deployments can be used to deploy applications in a highly available and fault-tolerant manner, and are managed by the Kubernetes control plane.
Storage
Kubernetes provides a variety of storage options, including persistent storage, shared storage, and external storage. Persistent storage is used to store data that is expected to persist even when the cluster is rebooted. Shared storage is used to store data that is shared across multiple nodes. External storage is used to store data that is not managed by Kubernetes, such as data stored in an external database.
Networking
Kubernetes networking provides the necessary infrastructure to connect the containers in the cluster. Kubernetes networking is based on a software-defined networking model, which provides an isolated network for the containers in the cluster. Kubernetes networking also provides an overlay network for connecting containers across multiple nodes.
Kubernetes in Action
Kubernetes uses a declarative approach to define how applications should be deployed and configured. This is done using YAML files, which define the desired state of the cluster.
For example, the following YAML file can be used to deploy a web application:
apiVersion: apps/v1
kind: Deployment
metadata:
name: web-app
spec:
selector:
matchLabels:
app: web-app
replicas: 1
template:
metadata:
labels:
app: web-app
spec:
containers:
- name: web-app
image: nginx
ports:
- containerPort: 80
Code Explanation
In this example, the Deployment resource is used to define the desired state of the web application. The Deployment resource defines the number of replicas (in this case, 1), and a template which is used to define the properties of the container.
The template defines the container image (nginx) and the port that the application will be exposed on (80). Kubernetes also provides a variety of other resources that can be used to define the desired state of the cluster.
Conclusion
Kubernetes is a powerful tool for managing distributed applications and can provide a great deal of flexibility and scalability. Understanding the fundamentals of Kubernetes is essential for successfully deploying and managing applications in the cluster.