Disaster Recovery and State Management Strategies Using Terraform Enterprise in CI/CD Workflows

The analysis demonstrates how Terraform Enterprise enables effective disaster recovery (DR) and state management practices for contemporary CI/CD pipelines. Our analysis surveys Infrastructure-as-Code methodology together with CI/CD fundamentals followed by examining Terraform Enterprise's system architecture that involves workspaces alongside remote state backends and policy enforcement through Sentinel for disaster recovery planning purposes. An analysis of Terraform state handling, locking and encryption and backup procedures from relevant industry sources and literature exists. Our presentation includes information about how DR workflows operate through Terraform automation in CI/CD environments to demonstrate how pipelines execute failover processes (such as DNS switching) by implementing conditional Terraform commands. The article showcases integration through examples of GitLab CI combined with Jenkins where pipeline code displays script simulations in YAML format. The article examines the implementation of Terraform Enterprise by a big-cloud-native service resembling Netflix in order to create multi-region disaster recovery capabilities. Furthermore, the article presents standardized practices which combine enforceable environment isolation with state management versions alongside continuous disaster recovery testing and policy-enabled automation to secure predictable infrastructure systems that produce swift recovery capabilities. Resilient Infrastructure-as-Code implementations together with automatic recovery solutions form the foundation of minimizing enterprise deployment downtime along with data risks.

Authors

Publication Details

Journal
Journal of Software Engineering and Simulation
Published
2025-01-01
DOI
https://doi.org/10.35629/3795-11017787
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Disaster Recovery and State Management Strategies Using Terraform Enterprise in CI/CD Workflows

Anil Kumar Manukonda
Journal of Software Engineering and Simulation
Scientific Computing and Data Management
article

Disaster Recovery and State Management Strategies Using Terraform Enterprise in CI/CD Workflows

Anil Kumar Manukonda
article en

Abstract

The analysis demonstrates how Terraform Enterprise enables effective disaster recovery (DR) and state management practices for contemporary CI/CD pipelines. Our analysis surveys Infrastructure-as-Code methodology together with CI/CD fundamentals followed by examining Terraform Enterprise's system architecture that involves workspaces alongside remote state backends and policy enforcement through Sentinel for disaster recovery planning purposes. An analysis of Terraform state handling, locking and encryption and backup procedures from relevant industry sources and literature exists. Our presentation includes information about how DR workflows operate through Terraform automation in CI/CD environments to demonstrate how pipelines execute failover processes (such as DNS switching) by implementing conditional Terraform commands. The article showcases integration through examples of GitLab CI combined with Jenkins where pipeline code displays script simulations in YAML format. The article examines the implementation of Terraform Enterprise by a big-cloud-native service resembling Netflix in order to create multi-region disaster recovery capabilities. Furthermore, the article presents standardized practices which combine enforceable environment isolation with state management versions alongside continuous disaster recovery testing and policy-enabled automation to secure predictable infrastructure systems that produce swift recovery capabilities. Resilient Infrastructure-as-Code implementations together with automatic recovery solutions form the foundation of minimizing enterprise deployment downtime along with data risks.

Journal of Software Engineering and SimulationVol. 11(1)
Openalex Percentile: Top 82%
Scientific Computing and Data Management
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