Enhancing Data Processing and Deployment Efficiency by Leveraging Code-Driven Automation for Cloud Infrastructure
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Enhancing Data Processing and Deployment Efficiency by Leveraging Code-Driven Automation for Cloud Infrastructure
Satyadeepak Bollineni
Senior DevOps Engineer
Databricks
Texas, USA
Email: deepu2020@gmail.com
Abstract— Cloud technologies quickly evolve and require efficient ways to process and deploy data for high operational performance and low cost. This study looks at code-driven automation applied to cloud infrastructure, with a focus on Terraform, Jenkins, and Kubernetes. Automating infrastructure provisioning and application deployments, these tools minimize human intervention and potential human error, thus optimizing operational effectiveness. The findings indicate that code-driven automation not only accelerates deployments but also provides scalability and dependability among many cloud environments, thus ensuring fast and efficient delivery of cloud services. With this strategy, organizations can optimize their cloud operations and resource utilization needs. The research helps to understand how effective automation of processes would improve cloud infrastructure management and service delivery in very dynamic technological times.
Keywords—Cloud Infrastructure Management, Code-Driven Automation, Infrastructure as Code (IaC), Automated Deployment, Cloud Efficiency, Resource Utilization, CI/CD Pipelines, Kubernetes.