Automating Deployment of Microservices Using Minimalistic Tools – GitLab, Docker and Kubernetes.

Abstract

This research work is based on the deployment, configuration, and management of microservices in a Kubernetes cluster, which relates to how container orchestration can enhance its scalability and performance using the least tools. The project includes the configuration of essential services and utilization of powerful capability in Kubernetes for deployment, scaling, and operation automation of the application containers across host clusters. The CI/CD pipeline is built to work with the integration of GitLab and other industrial standard tools, both Git and Docker. In effect, GitLab implements this pipeline automatically to ensure the flawless state of continuous integration and deployment. It downloads code from the Git repository and collaborates with Docker Hub to publish and pull Docker images, which are then deployed to the Kubernetes cluster. This integration fully automates the process from code commit to application deployment. In such fast-moving fields as software development, being quick and maneuverable is of the essence. This paper investigates how the latest cloud-based development and DevOps methods reshape the design of software and, in large part, is due to the move from traditional, all-in-one software systems into modular microservices managed by Kubernetes. We performed a detailed literature review in addition to practical experiments in using Kubernetes to orchestrate microservices that help us see both the benefits and challenges of this modern approach. We found out that deploying and managing microservice applications were simplified, with Kubernetes becoming less prone to crashes. Another point that my research helps to highlight is that Kubernetes brings the ease of handling, growth, and improvement to microservices in pursuit of creating a far better and more reliable application. Reliability becomes very important, especially in the current fast-paced market, where time is money, and any delay or interruption will be a loss. Besides, such microservices allow me to adapt quickly to technological shifts, providing scalable options that meet current business demands. The findings showed that Kubernetes and microservices make the process easy and keep my research ahead in the digital age with less investment in resources and technologies since Kubernetes can a lot of tasks automatically. For this reason, it gives people time to think of new features and improvements that will make things better. It is believed that better automation tools and cloud technology will make DevOps procedures even more efficient and adaptable in the future.

Keywords: Microservices, Kubernetes, CI/CD pipeline, Scalability, Orchestration, Docker, Kubernetes Dashboard, JMeter.