Implementing Infrastructure as Code (IaC) in Data Engineering: Benefits and challenges

Authors

Satyadeepak Bollineni

Abstract

Infrastructure as Code has revolutionized how infrastructure operates and is automated, especially in environments such as cloud and DevOps. Infrastructure as Code finds its critical role in data engineering: a means of automating the setup of data pipelines, storage systems, and processing frameworks. This paper discusses a few benefits and some challenges that come with using IaC in data engineering environments. First, the key advantages are automation, scalability, cost-effectiveness, speedier deployment, and enhanced collaboration. Challenges include, but are not limited to, complexity, the learning curve, security concerns, and state management. IaC popular tools presented include Terraform, AWS CloudFormation, and Ansible; best practices to be used in the face of obstacles include modular design and Continuous Integration. The case studies represent real-world application of the IaC practice and provide at least some insight into the development trends yet to come, such as integration with Artificial Intelligence/Machine Learning and Edge computing. Finally, practical recommendations are given that may support data engineers who would like to take advantage of Infrastructure as Code and operate more efficient, scalable infrastructure.

Keywords

Infrastructure as Code, data engineering, automation, scalability, devops, cloud.

Implementing Infrastructure as Code (IaC) in Data Engineering: Benefits and challenges. Satyadeepak Bollineni. 2022. IJIRCT, Volume 8, Issue 6. Pages 1-7. https://www.ijirct.org/viewPaper.php?paperId=2410006