Infrastructure automate and manage deployments across Azure and AWS using Terraform

In this project, I was responsible for managing and deploying infrastructure across both AWS and Azure using Terraform. The AWS environment consisted of 7 servers deployed within a private network, while on Azure, serverless APIs were deployed using Azure Web Apps and Azure Functions. This multi-cloud setup was fully automated and managed via Terraform, ensuring infrastructure as code (IaC) practices were followed for consistent, repeatable, and scalable deployments.

• Terraform: Used for infrastructure as code (IaC) to automate and manage deployments across AWS and Azure.

• Amazon Web Services (AWS): Managed 7 servers in a private network, deployed and configured using Terraform.

• Azure Web Apps: Deployed serverless APIs on Azure using Web Apps for scalable and managed hosting.

• Azure Functions: Utilized for deploying serverless APIs with event-driven architecture on Azure.

• AWS VPC (Virtual Private Cloud): Used to ensure private network configuration for the AWS infrastructure.

• Azure Virtual Network: Managed networking for the Azure resources.

• Terraform Code Development: Developed and maintained Terraform scripts to automate the deployment of infrastructure across both AWS and Azure environments.

• AWS Infrastructure Management: Deployed and configured 7 servers within an AWS VPC, ensuring secure and private network access.

• Azure Serverless API Deployment: Automated the deployment of serverless APIs using Azure Web Apps and Azure Functions, ensuring high availability and scalability.

• Networking Configuration: Set up and managed private network configurations in AWS using VPC, and handled networking requirements for Azure resources.

• Infrastructure as Code (IaC): Implemented IaC best practices to ensure consistency, version control, and reusability of infrastructure code.

• Multi-Cloud Integration: Managed both AWS and Azure environments within a single Terraform setup, ensuring seamless integration and efficient resource provisioning.

• Resource Monitoring and Optimization: Monitored resource utilization across both clouds and optimized deployments for performance and cost efficiency.

• Automated Multi-Cloud Infrastructure: Successfully automated the deployment and management of infrastructure across both AWS and Azure, reducing manual effort and increasing efficiency.

• Secure AWS Environment: Deployed 7 servers within a secure private network on AWS, ensuring data privacy and controlled access.

• Scalable Serverless APIs: Deployed serverless APIs on Azure using Web Apps and Functions, allowing the system to scale automatically based on demand.

• Infrastructure Consistency: Leveraged Terraform to ensure consistent infrastructure across both clouds, reducing configuration drift and enabling repeatable deployments.

• Efficient Resource Management: Improved cost-efficiency and resource allocation by monitoring and optimizing the infrastructure, ensuring minimal wastage of cloud resources.