Implementação e orquestração automatizada de clusteres kubernetes com GitOps: um estudo de caso

Abstract

This thesis presents a case study on the automated implementation and orchestration of Kubernetes clusters using the GitOps methodology. Kubernetes is an open-source platform widely used for container management and application scalability. However, configuring and managing a Kubernetes cluster can be complex and require significant effort (KUBERNETS, s.d.). In this case study, we propose the use of the GitOps approach, which relies on Git repositories to control and automate the lifecycle of infrastructure and applications in a Kubernetes cluster. This methodology enables more efficient deployment and management of the environment, ensuring consistent and traceable configuration. During the case study, we implemented a Kubernetes cluster in a public cloud environment and utilized GitOps to automate the deployment of applications and updates to the cluster. We explored tools such as Rancher and Fleet to synchronize Kubernetes configuration definitions stored in a Git repository with the actual state of the cluster. Throughout the study, we evaluated the effectiveness of the GitOps approach in terms of ease of deployment, maintenance, and scalability of the Kubernetes cluster. We also considered aspects such as security, reliability, and continuous monitoring of the environment. The results of the case study demonstrate that the automated implementation and orchestration of Kubernetes clusters with GitOps offer significant benefits in terms of operational efficiency, traceability, and reliability of the environment. The GitOps approach simplifies cluster management, allowing forgreater agility in application development and deployment. This case study serves as a practical guide for IT professionals interested in adopting the GitOps methodology for automated management of Kubernetes clusters. It highlights best practices, challenges faced, and relevant insights for successfully implementing a GitOps-based automated orchestration approach in a Kubernetes environment.