An Introduction to Kubernetes
Containerization became popular over time and revolutionized the creation, dispatch, and maintenance of applications, making the effective management of these containers a necessity of the times. Several tools have been introduced to manage the life cycle of these containers in large-scale systems. These instruments are called container orchestration instruments.
An orchestration tool oversees delivery and deployment, resource allocation, load balance, service innovation, over-availability, and other key aspects of any organization. Using container orchestration tools such as Toker Swarm and Kubernetes, you can easily describe configurations such as volume loads, NV variables, image source, CPU, memory configuration, and use them as diagrams for building containers.
In this post, we will look at the basic elements of Kubernetes.
- Cluster: As the name implies, a cluster is a set of primary and labor nodes. It has at least one primary node and may have one or more working nodes. The primary node has a control plane to manage the working nodes. Control aircraft have many decision-making components such as planning and life cycle management.
The components of the control aircraft are Kube-APIserver, etcd, Kube Scheduler, Kube-controller-manager, cloud-controller-manager.
Some components of the control plane operate at each node. These components are kubelet, Kube-proxy, container-run time.
Tip: Containers placed on pods are operated at Kubernetes working nodes. Each node has the required configuration and operating time environment to support containers running on .NET. The nodes are managed by the control plane.
Pod: The pods run into a node. One node runs inside one or more pods. One or more containers will flow inside each piece. Containers running on the same pod can communicate using a local host network but this does not apply to inter-bot communication as they operate in separate environments and know nothing about each other.
Deployment: These are enhanced versions of copy controllers. They manage the duplicate package sorting and use pod sorting as a graph. The deployment describes all the basic details for a pod, such as a name, memory, CPU, volume loads, Env variables, number of copies running at a time, and container image.
Service: Kubernetes pods are dynamic. They are often created and destroyed. Each time a new pod is created it has a new name and address on the Kubernetes tip. Therefore, it is not possible to communicate between pods using the physical address or IP of the pods. To solve this problem, Kubernetes services are being developed. These services define the principles for accessing logical pieces.
Confidentiality: Secrets are used to securely store important information. It could be anything like DB credentials or service account details. It is always advisable to keep this information confidential instead of hardcoding it in K8s configuration files.
Continuous module: Continuous modules can be used to load any external storage drive to a specific location in the container. This is usually done to keep the containers in the state. The various types of continuous modules supported by Kubernetes can be found in detail in the official document.
Continuous block claim: This can be described as a user request for some storage. We can configure the properties of the desired sequence module using the claims. Similar to the pod (consuming tip resources), the claims consume a series of volumes. Modules can be provided dynamically or statically depending on our claims.