Service Offering Description
Use this service when developing, acquiring, modernizing, or deploying an application, integration, API, data platform, or infrastructure workload that will utilize university-managed cloud resources.
Cloud Engineering, Enterprise Architecture, and Information Security collaborate with application owners to ensure solutions are appropriately designed, supported, secured, and aligned with university standards and regulatory obligations. University systems may be subject to data classification, cybersecurity, operational support, backup and recovery, and regulatory requirements.
This service can help with:
- New application onboarding
- Azure hosting and deployment planning
- Cloud architecture reviews
- Application modernization initiatives
- API and integration reviews
- Data platform onboarding
- Production readiness reviews
- Security and compliance reviews
- Cloud governance guidance
- Ownership and operational support planning
Enterprise systems are expected to undergo review for architecture, security, integrations, supportability, operational ownership, and compliance considerations prior to deployment.
Information you may be asked to provide:
- Application name and purpose
- Business owner and technical owner
- Intended users
- Data types and system integrations
- Hosting requirements
- Regulatory or compliance requirements
- Support and operational responsibilities
- Production deployment requirements
University data must be classified and protected according to university policy and applicable regulations. Data classifications include Public, Sensitive (Internal), Highly Sensitive, and Restricted.
Outcomes of this review may include:
- Architecture approval
- Security recommendations
- Data classification determination
- Azure resource recommendations
- Operational support requirements
- Backup and recovery requirements
- Production deployment guidance
- Exception review, when necessary
Systems must have identified ownership, security controls, data protection measures, and recovery objectives appropriate for the sensitivity of the data and business function being supported.