Implementing Infrastructure as Code (IaC) for Scalable DevOps Automation in Hybrid Cloud
DOI:
https://doi.org/10.36676/j.sust.sol.v1.i4.46Keywords:
Infrastructure As Code (IaC), Backup and Restores, Cloud Systems, Automated, WorkflowsAbstract
The devOps approach known as Infrastructure as Code (IaC) automates all of the infrastructure's requirements to improve deployment speed, security, scalability, and automatic backup and restoration. Writing code that explains the infrastructure—which allows resources to be generated, destroyed, scaled, replaced, and relocated with ease—is the focus of Infrastructure as a Code (IaC). Installing an operating system on it, setting up servers on instance, adjusting how the software in the instances communicates with one other, and much more are all part of the scripting environment process. In order to achieve an effective infrastructure across all sectors while maintaining security via the usage of public and private clouds, this paper examines a number of tools and technology sets. By automating infrastructure deployment and procedures, continually enhancing the integration and delivery process, and monitoring application performance indicators, DevOps dismantles communication silos and enhances teamwork and productivity. In DevOps, automation is essential, and "Infrastructure as code (IaC)" is a critical component of automation. The management of infrastructure in cloud and physical datacenter systems will also be covered in this article, along with the impact of agile, DevOps, and IaC on infrastructure management. e. In order to achieve an effective infrastructure across all sectors while maintaining security via the usage of public and private clouds, this paper examines a number of tools and technology sets. Our results indicate that adopting IaC has many advantages, but there may also be some difficulties in putting IaC into practice. Additionally, the research recognizes the contribution of DevOps, cloud systems, and agile to the deployment of Infrastructure as a code.
References
H. Kharche, D. S. Chouhan, “Building Trust in Cloud Using Public Key Infrastructure”, International Journal of Advanced Computer Science and Applications, vol. 3, no. 3, (2012). DOI: https://doi.org/10.14569/IJACSA.2012.030305
K. Morris, Infrastructure as code: managing servers in the cloud,” O’Reilly Media, Inc.”, 2016.
De Cesare, S., Lycett, M., Macredie, R.D., Patel, C., and Paul, R., 2010. Examining perceptions of agility in software development practice. Communications of the ACM, 53(6), pp.126-130. Ebert, C., Gallardo, G., Hernantes, J., and Serrano, N., 2016. DevOps. Ieee Software, 33(3), pp.94-100. DOI: https://doi.org/10.1145/1743546.1743580
Erich, F., Amrit, C. and Daneva, M., 2014, December. A mapping study on cooperation between information system development and operations. In International Conference on Product-Focused Software Process Improvement (pp. 277-280). Springer. DOI: https://doi.org/10.1007/978-3-319-13835-0_21
Cham. Hermanns, J., and Steffens, A., 2015. The current state of ‘Infrastructure as Code ‘and how it changes the software development process. Full-scale Software Engineering, 19.
Frey, C. B. (2019). The Technology Trap. Princeton University Press. Mantoux, P. (1983). The Industrial Revolution in the Eighteenth Century. The University of Chicago Press. Chicago.
Miah, M. S., Pasupuleti, M. B., & Adusumalli, H. P. (2021). The Nexus between the Machine Learning Techniques and Software Project Estimation. Global Disclosure of Economics and Business, 10(1), 37-44. DOI: https://doi.org/10.18034/gdeb.v10i1.627
Pasupuleti, M. B. (2016). Data Scientist Careers: Applied Orientation for the Beginners. Global Disclosure of Economics and Business, 5(2), 125-132. DOI: https://doi.org/10.18034/gdeb.v5i2.617
Abbas, S. I., & Garg, A. (2024, June). Integrating Emerging Technologies with Infrastructure as Code in Distributed Environments. In 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (pp. 1138-1144). IEEE. DOI: https://doi.org/10.1109/ICAAIC60222.2024.10575600
Chijioke-Uche, J. (2022). Infrastructure as Code Strategies and Benefits in Cloud Computing (Doctoral dissertation, Walden University).
Ketonen, T. (2024). Strategies and challenges in cloud-to-cloud migration using infrastructure as code. DOI: https://doi.org/10.1007/978-3-031-78392-0_1
Santoro, F. (2024). Validation and Verification of Infrastructure as Code (Doctoral dissertation, Politecnico di Torino).
B. Adams and J. Hall, "Monitoring and Logging in IaC Deployments: Techniques and Tools," IEEE Cloud Computing, vol. 7, no. 4, pp. 58-67, Oct.-Dec. 2020.
R. Singh, "IaC in Multi-Cloud Environments: Strategies and Challenges," IEEE Transactions on Cloud Computing, vol. 9, no. 2, pp. 487-498, April-June 2021.
A. Wilson, "The Role of IaC in Modern Platform Engineering," IEEE Software, vol. 38, no. 3, pp. 40-49, May-June 2021.
J. Kim and R. Patel, "Future Trends in IaC: Innovations and Predictions," IEEE Cloud Computing, vol. 8, no. 1, pp. 20-29, Jan.-March 2021.
V. Shvetcova, O. Borisenko, and M. Polischuk, “Domain-Specific Language for Infrastructure as Code,” Proc. - 2019 Ivannikov Meml. Work. IVMEM 2019, pp. 39–45, 2019, DOI: https://doi.org/10.1109/IVMEM.2019.00012
K. Morris, Infrastructure as Code: Managing Servers in the Cloud, 1st ed. Newton, MA, USA: O´Reilly Media, 2016.
G. Kumar and P. K. Bhatia, “Comparative analysis of software engineering models from traditional to modern methodologies,” Int. Conf. Adv. Comput. Commun. Technol. ACCT, pp. 189–196, 2014. DOI: https://doi.org/10.1109/ACCT.2014.73
Okazaki, E.; Yao, R.; Sirven, J.; Crepeau, A.; Noe, K.; Drazkowski, J.; Hoerth, M.; Salinas, E.; Csernak, L.; Mehta, N. Usage of EpiFinder clinical decision support in the assessment of epilepsy. Epilepsy Behav. 2018, 82, 140–143. DOI: https://doi.org/10.1016/j.yebeh.2018.03.018
Plebani, M.; Aita, A.; Padoan, A.; Sciacovelli, L. Decision support and patient safety. Clin. Lab. Med. 2019, 39, 231–244. DOI: https://doi.org/10.1016/j.cll.2019.01.003
Hassol, A.; Deitz, D.; Goldberg, H.; Honicker, M.; Younkin, J.; Chaundy, K.; Walker, J.M.; Cummins, M.R. Health information exchange. CIN Comput. Inform. Nurs. 2016, 34, 145–150. DOI: https://doi.org/10.1097/CIN.0000000000000240
Benson, T.; Grieve, G. Why interoperability is hard. In Principles of Health Interoperability; Health Information Technology Standards; Springer: Cham, Switzerland, 2021. DOI: https://doi.org/10.1007/978-3-030-56883-2
Everson, J.; Patel, V.; Adler-Milstein, J. Information blocking remains prevalent at the start of 21st century cures act: Results from a survey of health information exchange organizations. J. Am. Med. Inform. Assoc. 2021, ocaa323. DOI: https://doi.org/10.1093/jamia/ocaa323
Vest, J.R.; Gamm, L.D. Health information exchange: Persistent challenges and new strategies. J. Am. Med Inform. Assoc. 2010, 17, 288–294. DOI: https://doi.org/10.1136/jamia.2010.003673
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