Project Overview
In this project for the retail industry, I functioned as a Cloud Architect and DevOps Engineer to deploy SAS Viya in an Azure Cloud environment. The project’s goal was to enhance data analytics capabilities and streamline cloud-based operations.
Challenges & Solutions
Key tasks and solutions included:
- Azure Cloud Infrastructure Provisioning: Setting up a robust and scalable cloud environment in Azure.
- SAS Viya Deployment in Kubernetes: Utilizing Kubernetes for deploying SAS Viya, ensuring flexibility and scalability.
- Third-Party Tools Integration: Seamlessly integrating various analytics and management tools.
- Data Source Connectivity: Linking diverse data sources to SAS Viya for enhanced data analytics.
- Identity Management with Azure Entra ID: Integrating Azure Entra ID as an Identity Provider for secure access.
Technologies Employed
The project involved a range of technologies:
- Cloud and Containerization: Azure, Azure AKS, Kubernetes, Docker, Helm
- Security and Networking: VPN, Cert-Manager
- Analytics Platform: SAS Viya
- Scripting and Automation: Linux, shell scripting, Terraform
- Version Control: Git
Impact and Outcome
The successful deployment led to:
- Enhanced Data Analytics: Offering powerful analytics capabilities to the retail industry.
- Scalable Cloud Architecture: A flexible and scalable environment suitable for growing data needs.
- Secure and Streamlined Operations: Improved security and efficiency in cloud operations.
Conclusion
This project exemplifies the effective integration of SAS Viya in Azure, demonstrating how cloud development and data analytics can transform operations in the retail industry.
