JOURNAL ARTICLE

Automating Multi-Cluster Kubernetes Deployments with Terraform

Gudelli, Venkata Ramana

Year: 2024 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

The increasing complexity of distributed systems and the widespread adoption of Kubernetes have necessitated scalable, consistent, and automated deployment strategies across multi-cluster environments. This paper explores the application of Terraform, an Infrastructure as Code (IaC) tool, in orchestrating automated multi-cluster Kubernetes deployments. Leveraging Terraform's modularity, state management, and provider ecosystem, the study demonstrates how infrastructure provisioning, resource abstraction, and environment consistency can be achieved across heterogeneous clusters. Emphasis is placed on security, scalability, and idempotent workflows, with an evaluation of patterns such as workspace isolation, dynamic provider configuration, and GitOps integration. The paper also discusses the challenges of managing lifecycle operations and cross-cluster dependencies in declarative infrastructure contexts. Drawing on practices up to March 2024, this research contributes to operational resilience and DevOps efficiency in cloud-native deployments.

Keywords:
Software deployment DevOps Consistency (knowledge bases) Resource (disambiguation) Resilience (materials science) State (computer science) Workflow Adaptation (eye)

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Topics

Software System Performance and Reliability
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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