Utilization of Bionic Principles in the Deployment of Kubernetes Orchestration Systems

Abstract

This article explores the possibility of applying bionic principles in the design of container orchestration deployment systems based on Kubernetes. The key components of the Kubernetes architecture are considered as an example of a complex dynamic system characterized by self-regulation, scalability, and adaptability. A modulation of the deployment of Kubernetes components is presented. Analogies are drawn between the functional modules of Kubernetes and the structures of living organisms, which makes it possible to identify similarities in organizational principles and functioning.

The study proposes the application of bionic concepts such as homeostasis, emergent behavior, and subjective systems, and outlines their implementation through modern technologies — in particular KEDA, Prometheus, Grafana, and Kubecost. Examples of configurations are provided to demonstrate the reactivity of the system to external events and workload changes, as well as its ability to optimize resource usage. Special attention is given to the prospects of Kubernetes evolving into an adaptive and self-protective platform through integration with machine learning methods and bio-inspired algorithms.

A comparative analysis of the organs of biological organisms and the corresponding structures of Kubernetes is conducted, along with an examination of the potential for building subjective systems based on its components. Since subjective systems can provide greater autonomy to Kubernetes components in the future, the study concludes that the bionic approach is a promising foundation for enhancing the resilience and flexibility of Kubernetes under unstable environmental conditions.