System Architecture and User Personas

Overview of the system architecture, design, and user personas for the project.

System Architecture and Design

The Automation of Snowflake Resource Deployment project is built upon a robust architecture that integrates multiple components for seamless operation.

Architectural Overview

• Liquibase: This tool is used for managing version-controlled SQL migration scripts for Snowflake resources, ensuring a consistent and auditable database change process.

• Harness: Acts as the orchestrator of the CI/CD pipeline, enabling automated deployments in response to code changes. Harness helps to streamline the deployment process and manage different environments effectively.

• Snowflake: The target cloud-based data warehouse where all resources, including databases, schemas, and user roles, are managed.

• Version Control (Git): Git is utilized for tracking changes in the codebase and facilitating collaboration among team members.

Key Design Considerations

• Scalability: The architecture is designed to handle increasing amounts of data and users without compromising performance.

• Security: Proper access controls and secure handling of credentials are prioritized to protect sensitive data and ensure compliance with best practices.

• Efficiency: Automation of deployment processes minimizes manual intervention, reduces errors, and accelerates the delivery of updates.

This architecture supports the project’s goals of automating Snowflake resource management while maintaining high standards for security and efficiency.

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Users/Personas of the Project

The project will primarily serve the following user personas, each with specific interactions and responsibilities:

• DevOps Engineers:

  • Responsibilities: Manage the CI/CD pipelines and ensure smooth deployment of Snowflake resources.
  • Interaction: Configure and manage CI/CD pipelines in Harness, monitor performance, and troubleshoot issues.

• Database Administrators:

  • Responsibilities: Oversee Snowflake resource configurations and use the automation to deploy database changes.
  • Interaction: Review and approve Liquibase migration scripts, ensure resource integrity, and manage performance.

• Data Engineers:

  • Responsibilities: Manage the data warehouse environment and ensure that changes to databases and schemas are rolled out without manual intervention.
  • Interaction: Monitor data warehouse performance, validate data integrity post-deployment, and provide feedback for improvements.

• Security Engineers:

  • Responsibilities: Monitor and manage role-based access control and ensure the secure deployment of resources.
  • Interaction: Set up access controls, conduct audits, and monitor for security breaches.

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