Manage Your Containers through Kubernetes

September 22, 2021

Science and technology have entered an era where automation and scalable applications play a crucial role in the development industry. These heavyweight projects often need to be curated, deployed and maintained on a robust platform on a large scale. Kubernetes is one such extensible and open-source platform.

Before the introduction of Kubernetes, large organizations used to deploy their applications only on local servers. However, this had a tremendous disadvantage. In a physical server, it was not possible to define resource limits for organizational applications. Thus, this resulted in resource allocation errors in the memory.

To mark an improvisation in the above technology, Virtual Machines got introduced. Further enhancement in the process was provided by introducing Container Deployment Technology that led to the concept of Kubernetes.

What is Kubernetes?

Container Deployment Technology has given rise to Kubernetes. It is an extensible, open-source platform that is widely used for storing, managing and deploying workloads for containers. It gets referred to as an orchestration platform that acts on cloud-based applications and robust web servers efficiently.

Some crucial properties of Kubernetes include:

1. Provides dual workload facility: Declarative configuration and automation.

2. The open-source community is rapidly growing and introducing new features for its services and support.

3. Kubernetes can be used in web backend on a large scale and can be used to deploy web applications, minimizing the expenses incurred on providing provisions for web servers.

4. The orchestration feature allows us to mount storage spaces automatically in the form of local storage devices and cloud providers.

5. It is possible to automate Kubernetes to create new containers that need to be deployed and replace all existential containers. In this process, all new resources get transferred to the new container.

6. Bin packing systems can guarantee you the best utilization of your resources by automating the process. Depending on the CPU and memory (RAM) requirement for each container, you can supply the necessary workload balance. Kubernetes will only fit those containers onto the nodes that satisfy your memory specifications.

7. Kubernetes is a low-maintenance, virtual machine that can self-restart failed containers, and substitute and destroy containers that do not respond to your user-defined health check. It will not promote them to clients unless ready.

8. Kubernetes is also an efficient configuration management system that allows you to store and manage private information which can be deployed, accessed and updated anytime without the need to develop container images from scratch. This prevents any privacy breach of the stack configuration.

How to manage containers

Containers are lightweight, virtual machines that have relaxed isolation properties to enable dividing of the node Operating System (OS) among the different sub-applications. A container image is a collection of software, libraries and packages that are compiled and ready to run. A container will make space for its file system, CPU memory and processing space.

Containers are managed by Kubernetes and deployed from a single server to a multi-server resource by the Kubernetes cluster. It first receives the containers and divides them among the applications based on the requirement and availability of various nodes. It can be demonstrated as a single entity as well as a multiple node entity.

Kubernetes manages containers using in-built support techniques such as:

1. Service discovery

2. Load balancing

3. Scaling

The main Kubernetes components in managing containers are:

1. Control plane: The control plane is the primary center of all processing, from scheduling of events to clustering them. It stores the Kube-Episerver, which handles all processes related to API services and the Kube-scheduler that checks the deployment of pods concerning each node. Generally, one instance gets connected to each control plane task.

2. Nodes: Nodes mark the end-point processes or virtual machines of an ongoing Kubernetes cluster. The position at which a container gets deployed in the Kubernetes engine gets termed the nodal point. They provide a suitable runtime environment for containers to work on. It consists of the Kube-proxy that keeps the network routes in order and the Kubelet that manages and analyses the health and status of the containers from time to time.

3. Pods: Pods are the most crucial components of containers that act as a logical wrapper for a container. They are the smallest unit of components that are capable of deployment. It can either represent a single container or several containers clustered in a group with a shared medium for resources such as network bandwidth or storage capacity. The containers are encapsulated together tightly inside a pod along with all-important central functionalities of the applications.

Combining the above components in a sequential process, we conclude that the control plane is responsible for dividing the pods or clusters of containers into the nodes in a Kubernetes cluster. This process is further dependent on the requirements, resource availability and load of the application server.

Conclusion

Kubernetes is an amazing open-source technology that provides the basic framework for building developer tools from scratch. It is also keen on maintaining the flexibility of a user's necessities. It comprises various control processes that work parallelly and are not interdependent. This generates an easy-to-use, efficient and robust system to work on. For more information, check out E2E Cloud for sustainable Kubernetes Container Maintenance Platform and get our services at affordable prices.

For trying out our Kubernetes please signup using the link: https://bit.ly/31vYwEA

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