Paper Title

Workflow Management Automation: Ansible vs. Terraform

Authors

ER. FNU ANTARA , DR. SHAKEB KHAN , ER. OM GOEL

Keywords

Workflow Management • Automation • Ansible • Terraform • Configuration Management • Infrastructure Provisioning • Declarative Language • HashiCorp Configuration Language (HCL) • Idempotence • Orchestration • State Management • Cloud Providers • Multi-cloud Management • Ease of Use • Scalability

Abstract

Workflow management automation has become a pivotal component in modern IT operations, streamlining processes and enhancing efficiency. Among the prominent tools in this domain are Ansible and Terraform, both of which offer distinct approaches to automating workflows and infrastructure management. This study provides a comprehensive comparison of Ansible and Terraform, focusing on their features, advantages, and use cases to determine which tool is better suited for specific automation needs. Ansible, an open-source automation tool developed by Red Hat, excels in configuration management, application deployment, and task automation. It employs a declarative language to describe system configurations and utilizes SSH for communication with managed nodes, making it agentless. Ansible’s simplicity and ease of use stem from its YAML-based playbooks, which allow users to define and execute tasks in a straightforward manner. The tool's design promotes idempotence, ensuring that repeated executions yield consistent results, which is critical for maintaining stable environments. Ansible is particularly effective for managing complex deployments and orchestrating multi-tier applications, providing robust support for both Linux and Windows systems. In contrast, Terraform, developed by HashiCorp, is a leading tool for infrastructure provisioning and management. Unlike Ansible, Terraform is focused on defining and provisioning infrastructure through a declarative configuration language known as HashiCorp Configuration Language (HCL). It operates by creating an execution plan and applying changes incrementally, which helps maintain the desired state of infrastructure resources. Terraform’s strength lies in its capability to work with a wide range of cloud providers and infrastructure services, enabling users to manage resources across multiple environments with a single tool. Its state management and dependency resolution features ensure that infrastructure changes are applied in the correct order, minimizing the risk of configuration drift. The study evaluates Ansible and Terraform based on several criteria: ease of use, scalability, integration capabilities, and support for various environments. Ansible’s agentless architecture and user-friendly syntax make it suitable for tasks requiring detailed configuration management and application deployment. Terraform’s powerful state management and multi-cloud support, on the other hand, are advantageous for complex infrastructure provisioning and scaling operations.

How To Cite

"Workflow Management Automation: Ansible vs. Terraform", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.1, Issue 8, page no.a1-a11, August-2023, Available :https://rjpn.org/JETNR/papers/JETNR2308001.pdf

Issue

Volume 1 Issue 8, August-2023

Pages : a1-a11

Other Publication Details

Paper Reg. ID: JETNR_230851

Published Paper Id: JETNR2308001

Downloads: 000200

Research Area: Science and Technology

Country: -, -, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2308001

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2308001

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 8.27 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.27 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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