Advances that Kubernetes would likely undergo in 2021: Intersection with artificial intelligence, machine learning, and automation

Kubernetes Introduction

Kubernetes is one of the most predominant cloud-based solutions for those companies that deal in container deployment. The advancement and maturity that Kubernetes has achieved in the recent past are really commendable from the perspective of deployment and management of applications. In this article, we look at the different predictions and advances that Kubernetes would likely undergo in the coming times.

Achieving Simplicity in artificial intelligence and machine learning techniques

The seamless functioning of a wide range of applications requires the maturity and growth of the underlined infrastructure. It needs to be noted beyond doubt that artificial intelligence and machine learning have witnessed enormous growth because of the rich and advanced underlying infrastructure. This means that the scalability that we have been able to achieve in the case of Kubernetes containerization is a direct feedback mechanism for the growth of artificial intelligence and machine learning techniques. This connotes that the development of software from the perspective of business intelligence and data analytics would witness great advances.

The improvisation of experience on the developing and operating sides

There is no doubt in the fact that Kubernetes containerization is reducing the gap between the unit of consumption and the related application. However, there is a need to further simplify the experience both on the developing and operating sites. In the recent past, we have seen the development of mature solutions based on the operational model of server absence. This does not mean that the requirement of servers is simply cut out. This means that the underlying service takes care of the functions in the absence of servers. Some of the examples of such a model include AWS Fargate and Knative.

Another important advantage of such solutions is that they lead to the reduction of interaction time and consequently the latency that culminates into improved focus on business applications.

The art of automation

Automation is an aspect of the technological infrastructure that allows for its development and improvisation. Needless to mention, the prime goal of Kubernetes containerization has been automation at a very large scale. Not only does automation lead to various types of upgrades in the system but it also leads to self-management of applications and the related cloud environment. Automation of applications is also pivotal for the acceleration of deployment and increasing scalability. Another important advantage of automation is that it helps in securing the infrastructure of applications in general and the cloud environment in particular.

Functioning at the edge

For the last few years, functioning at the edge has gained prominence in the case of hybrid environments. This has led to the close working of the telecom giants with edge based solutions to improve the functioning of their distributed infrastructure.

Concluding remarks

The state of the present pandemic has forced different kinds of businesses to react in an unplanned manner. One of the best tools in hand is Kubernetes which can allow the companies to customize the process of software development while simultaneously scaling up their present applications.

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