Cloud Deployment Guide for Developers

About

This repository provides a comprehensive toolkit for deploying and managing cloud infrastructure across multiple cloud providers (AWS, Azure, and GCP) with a focus on data platform infrastructure. It combines Infrastructure as Code (Terraform) with CLI-based approaches to offer flexibility in deployment methods.

Project Structure

.
├── cloud-providers/           # Cloud provider specific configurations
│   ├── aws/                  # AWS specific resources and configurations
│   ├── azure/                # Azure specific resources and configurations
│   └── gcp/                  # GCP specific resources and configurations
├── configs/                  # Main configuration directory
│   ├── databricks/          # Databricks specific configurations
│   ├── snowflake/           # Snowflake specific configurations
│   ├── main.tfvars          # Main configuration file
│   ├── databricks.tfvars    # Databricks variables
│   └── snowflake.tfvars     # Snowflake variables
├── terraform/               # Core Terraform configurations
├── Dockerfile              # Container definition
├── docker-compose.yml      # Container orchestration
└── settings.json          # Project settings

Features

• Multi-Cloud Support

  • AWS infrastructure deployment
  • Azure resource management
  • GCP service configuration

• Data Platform Infrastructure

  • Azure Databricks workspace deployment
  • Snowflake account and resource management
  • Integrated data storage solutions

• Infrastructure as Code

  • Terraform-based deployments
  • Modular configuration structure
  • Version-controlled infrastructure

• Containerization

  • Docker support
  • Containerized deployment options
  • Development environment consistency

Prerequisites

• Terraform >= 1.0.0
• Docker and Docker Compose
• Cloud provider CLIs:
  • AWS CLI
  • Azure CLI
  • Google Cloud SDK
• Cloud provider accounts and credentials
• Snowflake account (for data platform features)

Quick Start

1. Clone the Repository

   git clone [repository-url]
   cd cloud-dev

2. Configure Environment

   # Copy example configurations
   cp configs/main.tfvars.example configs/main.tfvars
   cp configs/databricks.tfvars.example configs/databricks.tfvars
   cp configs/snowflake.tfvars.example configs/snowflake.tfvars
   
   # Edit configuration files with your values

3. Initialize Terraform

   terraform init

4. Deploy Infrastructure

   # Review planned changes
   terraform plan -var-file="configs/main.tfvars"
   
   # Apply changes
   terraform apply -var-file="configs/main.tfvars"

Data Platform Configuration

Databricks Setup

The Databricks configuration includes:

• Workspace configuration
• Network settings
• Cluster management
• Resource group configuration

Key configuration files:

• configs/databricks/main.tfvars
• configs/databricks_variables.tf

Snowflake Setup

The Snowflake configuration includes:

• Account and region settings
• Database and warehouse configuration
• User and role management
• Storage integrations

Key configuration files:

• configs/snowflake/main.tfvars
• configs/snowflake_variables.tf

Security Best Practices

1. Credential Management

   • Use environment variables for sensitive data
   • Implement secrets management solutions
   • Never commit credentials to version control

2. Network Security

   • Configure VNet integration where applicable
   • Implement IP restrictions
   • Use private endpoints

3. Access Control

   • Follow principle of least privilege
   • Implement RBAC
   • Use managed identities

Resource Naming Convention

Resources follow standardized naming patterns:

• Databricks: {project_name}-{environment}-{resource_type}
• Snowflake: {project_name}_{environment}_{resource_type}

Maintenance and Operations

1. Regular Maintenance

   • Monitor resource usage
   • Update configurations as needed
   • Review and optimize costs

2. Troubleshooting

   • Check cloud provider logs
   • Verify network connectivity
   • Review access permissions

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For issues and feature requests, please use the GitHub issue tracker.