Enterprise Terraform: Optimizing Infrastructure Management with Enterprise Terraform: Enhancing Scalability, Security, and Collaboration

Main Article Content

Sudheer Kolla

Abstract

Enterprise Terraform by HashiCorp is an advanced Infrastructure as Code (IaC) solution designed to manage and automate complex infrastructure environments. Building on the open-source Terraform tool, it offers enhanced features tailored for enterprise-level operations, including multi-cloud and on-premises infrastructures. Key capabilities include role-based access control (RBAC), workspaces, and policy as code through Sentinel, which collectively support secure team collaboration, governance, and compliance across infrastructure workflows. These features enable organizations to manage and provision infrastructure consistently, whether it spans on-premises systems or multiple cloud providers. Terraform Enterprise emphasizes scalability, ensuring that teams can manage large-scale infrastructure efficiently while maintaining control over resource provisioning. With tight version control system (VCS) integration, Terraform Enterprise facilitates automated deployments and consistent environment management. Remote state management and secure operations further ensure the reliability of deployments, reducing the risk of errors during infrastructure changes. By offering policy as code, team collaboration, and secure operations, Terraform Enterprise empowers organizations to streamline infrastructure provisioning, ensuring agility, consistency, and control. This research article delves into the key features of Enterprise Terraform, evaluates its implementation, and compares it with alternative IaC solutions to highlight its strengths and potential areas of improvement for enterprise use.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Kolla, S. . (2019). Enterprise Terraform: Optimizing Infrastructure Management with Enterprise Terraform: Enhancing Scalability, Security, and Collaboration. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 10(2), 2038–2047. https://doi.org/10.61841/turcomat.v10i2.15042
Section
Articles

References

Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58. https://doi.org/10.1145/1721654.1721672

Brikman, Y. (2016). Terraform: Up & Running: Writing Infrastructure as Code. O'Reilly Media.

Buyya, R., Broberg, J., & Goscinski, A. (2011). Cloud computing: Principles and paradigms. Wiley.

Erl, T., Puttini, R., & Mahmood, Z. (2013). Cloud computing: Concepts, technology & architecture. Prentice Hall.

Fowler, M. (2014). Microservices: A definition of this new architectural term. Retrieved from https://martinfowler.com/articles/microservices.html

HashiCorp. (2017). Sentinel: Policy as code. Retrieved from https://www.hashicorp.com/sentinel

HashiCorp. (2018). Terraform Enterprise documentation. Retrieved from https://www.terraform.io/docs/enterprise/index.html

Humble, J., & Farley, D. (2010). Continuous delivery: Reliable software releases through build, test, and deployment automation. Addison-Wesley.

Kavis, M. J. (2014). Architecting the cloud: Design decisions for cloud computing service models (SaaS, PaaS, and IaaS). Wiley.

Leite, L., Rocha, C., Kon, F., Milojicic, D., & Meirelles, P. (2019). A survey of DevOps concepts and challenges. ACM Computing Surveys (CSUR), 52(6), 1-35. https://doi.org/10.1145/3359981

Morris, K. (2017). Infrastructure as code: Managing servers in the cloud. O'Reilly Media.

Newman, S. (2015). Building microservices: Designing fine-grained systems. O'Reilly Media.

Pahl, C., & Jamshidi, P. (2016). Microservices: A systematic mapping study. In 2016 IEEE 9th International Conference on Cloud Computing (CLOUD) (pp. 758-761). IEEE. https://doi.org/10.1109/CLOUD.2016.0111

Pahl, C., Brogi, A., Soldani, J., & Jamshidi, P. (2017). Cloud container technologies: A state-of-the-art review. IEEE Transactions on Cloud Computing, 7(3), 677-692. https://doi.org/10.1109/TCC.2017.2702586

Richardson, L., & Ruby, S. (2007). RESTful web services. O'Reilly Media.

Roberts, M. (2018). Serverless architectures. Retrieved from https://martinfowler.com/articles/serverless.html

Sbarski, P., & Kroonenburg, S. (2017). Serverless architectures on AWS: With examples using AWS Lambda. Manning Publications.

Sharma, S., & Coyne, B. (2015). DevOps for dummies. John Wiley & Sons.

Sommerville, I. (2011). Software engineering (9th ed.). Addison-Wesley.

Taibi, D., Lenarduzzi, V., & Pahl, C. (2018). Processes, motivations, and issues for migrating to microservices architectures: An empirical investigation. IEEE Cloud Computing, 5(6), 22-32. https://doi.org/10.1109/MCC.2018.2883743

Turnbull, J. (2014). The Docker book: Containerization is the new virtualization. James Turnbull.

Villamizar, M., Garcés, O., Castro, H., Verano, M., Salamanca, L., Casallas, R., & Gil, S. (2015). Evaluating the monolithic and the microservice architecture pattern to deploy web applications in the cloud. In 2015 10th Computing Colombian Conference (10CCC) (pp. 583-590). IEEE. https://doi.org/10.1109/ColumbianCC.2015.7333475

Wettinger, J., Breitenbücher, U., & Leymann, F. (2014). Standards-based DevOps automation and integration using TOSCA. In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC) (pp. 59-68). IEEE. https://doi.org/10.1109/UCC.2014.15

Zimmermann, O. (2017). Microservices tenets: Agile approach to service development and deployment. Computer Science-Research and Development, 32(3-4), 301-310. https://doi.org/10.1007/s00450-016-0337-0

Zhang, C., & Zhang, W. (2015). A survey of research on cloud database systems. Journal of Computer Science and Technology, 30(1), 16-29. https://doi.org/10.1007/s11390-015-1506-5