The process of automating, managing, and assigning workloads that are defined by unique containers is referred to as container orchestration. Some of the noted players in this domain include the ECS services of Amazon and the Borg project of Google. That said, there are a lot of advantages and benefits that we get from Kubernetes containerization while working with open-source software. One of the prime advantages is the construction of other open-source dedicated software.
The components of Kubernetes
When we look at the components of Kubernetes, we find two main systems in operation. The first component is the workload manager. This component not only enables us to host different types of containers but also runs them effectively. The second type of component is called cluster manager. The prime function of this component is to make different decisions that aid in functionality.
After we have defined the different components of Kubernetes, it is important to describe the management of various clusters. The main nodes that perform the management functions are called worker nodes. On the other hand, the chief decisions about the cluster are taken by the Kubernetes control plane. The control plane is made up of several inbuilt components. The first component is called the memory store. This component not only stores all types of clustered data but also performs back-end functions. Another type of component is called the scheduler. The main function of the scheduler is to assign the nodes with different types of pods. The third component is called the API front-end. The application programming interface serves as the main platform with which the developer can interact. It performs different types of functions like the deployment of new services. The next component is called the controller manager. The main function of the controller manager is to monitor the clusters and update their state so as to keep up with the new changes. Other functions performed by the controller manager include the scaling up of nodes and the creation of new namespaces.
The use of templates
The various components of the cluster node not only determine cluster management but also give information about the maintenance of the software by the developers. The role of different templates and controllers is related to this maintenance.
The running of continuous services is yet another function of controllers and templates. When we talk about deployment-related functions, it is the controllers which perform the inevitable functions in this domain. After we have understood the functions of the template, we can briefly understand its anatomy. The template is a simple YAML file which means that it has its own code and is pivotal in determining the parameters through which the containers function. In addition to this, the template also gives information about the types of applications that we need to run.
With the help of the above-mentioned resources and templates, we can predict different types of environment variables. The cluster information about the different commands through which the container should run can also be mined out. Other information related to data values that are required by the containers can also be found out with the help of resources and templates.
The consolidated platform
After we have described different types of components related to Kubernetes, let’s now bring them together. The combination of templates from various resources enables the users to customize these components according to the requirements. We have seen the biggest companies deploying the different components within Kubernetes and making an application that is suitable for their requirements. The above-mentioned components allow companies to design and package software with hassle-free installation.
The way ahead
There are a lot of approaches to deal with container orchestration. The complexity of these approaches makes it difficult for companies to understand and adopt them. This article is a small step in this direction. In addition to giving a detailed overview of the various components of Kubernetes, the article also gives a description of various templates involved. The article concludes by bringing the working of all the components together so that companies can take the final call on timely adoption.
It is said that Kubernetes containerization is pivotal for running an application by isolating it from the rest of the system. This can prove useful for the companies who are looking at an orchestration system for automating their application development systems. The promotion of this approach will serve multiple purposes in the long run.