In this project, I took on the roles of Cloud Architect and DevOps Engineer to deploy SAS Viya 4 on a RedHat OpenShift environment. The focus was on creating a secure, scalable, and efficient analytics platform.
Challenges & Solutions
The deployment posed several unique challenges, addressed through strategic planning and technical expertise:
- RedHat OpenShift Deployment: Leveraging the robustness of OpenShift for a secure and scalable SAS Viya 4 deployment.
- Active Directory Integration: Connecting Active Directory as an identity provider to ensure secure and streamlined user management.
- Database Connectivity: Establishing connections with SQL and Terraform databases for comprehensive data management.
- Cert-Manager Configuration: Implementing Cert-Manager for automated certificate management, enhancing security.
- Scalability and Security: Ensuring the deployed environment could handle varying workloads securely and efficiently.
A variety of technologies were utilized to achieve the project goals:
- Containerization and Orchestration: Kubernetes, Docker, Helm
- Platform: RedHat OpenShift
- Analytics Platform: SAS Viya
- Security and Certificates: Cert-Manager
- Operating Systems and Scripting: Linux, shell scripting
- Version Control: Git
Impact and Outcome
The deployment of SAS Viya 4 in the OpenShift environment led to:
- Enhanced Analytics Capabilities: Providing a robust platform for advanced analytics and data processing.
- Scalable and Secure Infrastructure: Meeting the dynamic needs of the services industry with a focus on data security.
- Streamlined User Management: Efficient user management and authentication processes.
- Automated Certificate Management: Improved security posture with automated certificate management.
This project showcased the effective combination of analytics software with advanced cloud infrastructure. The successful deployment and maintenance of SAS Viya 4 in an OpenShift environment highlights the importance of technical expertise in cloud architecture and DevOps practices to achieve a secure, scalable, and efficient analytics platform.