Project Overview
As a Cloud Architect and DevOps Engineer in the industry sector, my project involved deploying SAS Viya 4 in Azure across multiple environments (Development, Testing, Production). The project included AKS cluster installation, container registry setup, and security enhancements.
Challenges & Solutions
The project tasks included:
- AKS Cluster Installation: Setting up an Azure Kubernetes Service cluster for different environments - Dev, Test, and Prod.
- SAS Viya 4 Deployment: Implementing Viya 4 in Azure, ensuring scalability and seamless operation across environments.
- Container Registry Setup: Establishing a container registry in Azure for managing Docker containers used in Viya 4 deployment.
- Database Integration in SAS Viya: Integrating existing databases with SAS Viya for consistent data access and analysis.
- Configuration of SAML and SSO: Implementing Single Sign-On (SSO) and Security Assertion Markup Language (SAML) for enhanced security and streamlined authentication.
Technologies Employed
The project utilized:
- Container Orchestration and Management: Kubernetes, Docker
- Cloud Platform and Services: Azure, Azure DevOps, Azure Data Lake, Synapse
- Security and Authentication: SAML, SSO, LDAP
- Networking and Storage: NFS, NGINX
- Version Control: Git
- Infrastructure Automation: Infrastructure as Code principles
Impact and Outcome
The deployment resulted in:
- Robust Multi-Environment Setup: Efficient deployment of SAS Viya 4 across development, testing, and production environments in Azure.
- Enhanced Data Integration: Seamless integration with existing databases, facilitating better data management and analysis.
- Improved Security Measures: Stronger security and authentication mechanisms with the implementation of SAML and SSO.
Conclusion
This project showcases the effective deployment of SAS Viya 4 in a multi-environment setting within Azure, emphasizing the importance of robust infrastructure, integrated data sources, and enhanced security in cloud-based analytics solutions.
