Illustrative scenario

Cloud Migration & DevOps Enablement for Campus Systems

Higher education institutions running student information systems, learning management platforms, and administrative applications on aging on-premises infrastructure face growing pressure to modernize without disrupting academic calendars or straining limited IT budgets.

Industry
Cross-industryExample sector: Higher Education
Typical engagement
Project delivery
Typical duration
6-9 months for phased migration and DevOps enablement, timed around academic calendar milestones to minimize disruption.

Visual overview · Cloud Migration and Modernization

How campus systems move to the cloud with automated delivery

An illustrative diagram drawn from this scenario's architecture and phases. Choose a phase to see what it works on.

How campus systems move to the cloud with automated deliveryStudent information system integrations, LMS-adjacent services and administrative applications are migrated in phases into a governed cloud landing zone. A CI/CD pipeline layer with code quality gates automates build, test and deployment, and infrastructure as code provisions the environment. In the landing zone, core campus applications run as containerized services with autoscaling configured for known seasonal peaks such as registration, add and drop periods and exam scheduling, and data protection controls safeguard student records. Identity and access are centralized and integrated with the existing campus directory. A monitoring layer shows system health and cost trends across the academic year.CAMPUS SYSTEMSGOVERNED CLOUDLANDING ZONEStudentinformationsystemintegrationsLMS-adjacentservicesAdministrativeapplicationsCI/CD pipelinelayerBuild, test, deploy;code quality gatesInfrastructure ascodeTerraformCore campusapplicationsContainerizedservicesAutoscaling forseasonal peaksRegistration, addand drop, examsData protectioncontrolsStudent records;backupCentralizedidentity and accessExisting campusdirectory servicesMonitoringHealth and cost trendsacross the academicyearaccessHow campus systems move to the cloud with automated deliveryStudent information system integrations, LMS-adjacent services and administrative applications are migrated in phases into a governed cloud landing zone. A CI/CD pipeline layer with code quality gates automates build, test and deployment, and infrastructure as code provisions the environment. In the landing zone, core campus applications run as containerized services with autoscaling configured for known seasonal peaks such as registration, add and drop periods and exam scheduling, and data protection controls safeguard student records. Identity and access are centralized and integrated with the existing campus directory. A monitoring layer shows system health and cost trends across the academic year.CAMPUS SYSTEMSGOVERNED CLOUD LANDING ZONEStudent information systemintegrationsLMS-adjacent servicesAdministrative applicationsCI/CD pipeline layerBuild, test, deploy; code quality gatesInfrastructure as codeTerraformCore campusapplicationsContainerizedservicesAutoscaling forseasonal peaksRegistration, addand drop, examsData protection controlsStudent records; backupCentralized identity and accessExisting campus directory servicesMonitoringHealth and cost trends across theacademic yearprovisionsaccess
  • Data or process flow
  • Management, governance or evidence link
How campus systems move to the cloud with automated delivery. Illustrative diagram for this scenario.

How campus systems move to the cloud with automated delivery

Full diagram. On smaller screens, scroll or swipe to move around it.

How campus systems move to the cloud with automated deliveryStudent information system integrations, LMS-adjacent services and administrative applications are migrated in phases into a governed cloud landing zone. A CI/CD pipeline layer with code quality gates automates build, test and deployment, and infrastructure as code provisions the environment. In the landing zone, core campus applications run as containerized services with autoscaling configured for known seasonal peaks such as registration, add and drop periods and exam scheduling, and data protection controls safeguard student records. Identity and access are centralized and integrated with the existing campus directory. A monitoring layer shows system health and cost trends across the academic year.CAMPUS SYSTEMSGOVERNED CLOUDLANDING ZONEStudentinformationsystemintegrationsLMS-adjacentservicesAdministrativeapplicationsCI/CD pipelinelayerBuild, test, deploy;code quality gatesInfrastructure ascodeTerraformCore campusapplicationsContainerizedservicesAutoscaling forseasonal peaksRegistration, addand drop, examsData protectioncontrolsStudent records;backupCentralizedidentity and accessExisting campusdirectory servicesMonitoringHealth and cost trendsacross the academicyearaccess

Phases

Student information system integrations, LMS-adjacent services and administrative applications are migrated in phases. Choose a phase to highlight the parts of the solution it works on.

Read the diagram as text
  1. Student information system integrations, LMS-adjacent services and administrative applications are migrated in phases.
  2. A CI/CD pipeline layer with code quality gates automates build, test and deployment; infrastructure as code provisions the environment.
  3. Core campus applications run in a governed cloud landing zone, with autoscaling for registration, add and drop, and exam periods.
  4. Data protection controls at the network and application layers safeguard student records.
  5. Identity and access are centralized and integrated with the existing campus directory.
  6. Monitoring shows system health and cost trends across the academic year.

A cloud migration and DevOps enablement approach modernizes campus systems onto a governed cloud platform with modern software delivery practices. The intended outcome is a resilient, cost-effective campus IT platform supported by an internal DevOps capability that reduces reliance on ad hoc, single-person institutional knowledge.

The situation

Higher education institutions operate under unique constraints: constrained and often shrinking IT budgets, seasonal demand spikes tied to the academic calendar (registration, enrollment, exam periods), a broad and diverse application portfolio spanning student information systems, learning management systems, research computing, and administrative functions, and IT teams that are frequently smaller and more generalist than their enterprise counterparts. Student and faculty expectations for digital services have risen sharply, shaped by consumer-grade experiences elsewhere, while institutions must simultaneously protect sensitive student records under federal privacy regulations.

Many campus IT organizations still rely on aging on-premises infrastructure and manual deployment processes, with limited capacity to adopt modern DevOps practices internally, creating risk around key-person dependency and slow, error-prone release cycles for critical systems like registration and financial aid processing.

The challenge

Core campus systems — student information systems, learning management system integrations, and administrative applications — run on aging on-premises servers with limited elasticity to handle seasonal peaks such as registration and enrollment periods. Deployment processes for these systems are largely manual, dependent on a small number of specialized staff, and prone to delay or error, which is particularly risky during high-stakes periods like semester start.

The institution lacks a modern DevOps practice, meaning new digital services for students and faculty take longer than necessary to deliver, and the IT department struggles to balance modernization initiatives against tight, often state or tuition-constrained budgets.

Target state

Core campus systems run on a governed, elastic cloud platform capable of absorbing seasonal enrollment and registration peaks without manual capacity planning. Application teams deploy changes through automated, tested CI/CD pipelines rather than manual processes, reducing both the risk and the labor associated with releases.

IT leadership has predictable.

Approach

In this scenario, the delivery team delivers a phased cloud migration of core campus systems combined with DevOps enablement for the institution's internal IT and application teams, establishing automated CI/CD pipelines, infrastructure as code, and elastic capacity planning tuned to the academic calendar. The engagement is delivered as a project, with engineers working alongside existing campus IT staff to transfer skills and practices as systems are modernized, culminating in documentation and an agreed handover so the institution can sustain modern operations independently.

Architecture

The target architecture places core campus applications in a governed cloud landing zone with autoscaling configured to absorb known seasonal peaks (registration, add/drop periods, exam scheduling) without manual intervention. A CI/CD pipeline layer automates build, test, and deployment for student information system integrations, LMS-adjacent services, and administrative applications, replacing manual release processes with repeatable, auditable automation.

Identity and access management is centralized and integrated with the institution's existing directory services, and a monitoring layer provides IT leadership visibility into system health and cost trends across the academic year. Data protection controls are embedded at the network and application layers to safeguard student records in line with federal privacy requirements.

Technology

  • Microsoft Azure or AWS (landing zone, autoscaling compute)
  • Azure DevOps / GitHub Actions (CI/CD pipelines)
  • Terraform (infrastructure as code)
  • Docker / Kubernetes (containerized application services)
  • Azure AD / Entra ID or AWS IAM Identity Center (identity integration with campus directory)
  • Azure Monitor / Amazon CloudWatch (observability)
  • Azure Backup / AWS Backup (data protection)
  • SonarQube (code quality and automated testing gates)

Phases

  1. Assessment & Academic Calendar Mapping

    Typically 4-6 weeks

    Inventory of campus applications, dependency mapping, and identification of seasonal capacity peaks tied to the academic calendar.

  2. Cloud Landing Zone & Pipeline Foundation

    Typically 6-8 weeks

    Build governed landing zone, identity integration with campus directory, and initial CI/CD pipeline templates.

  3. Phased Migration

    Typically 3-5 months

    Migrate student information system integrations, LMS-adjacent services, and administrative applications in waves, sequenced around the academic calendar to avoid disruption.

  4. DevOps Enablement & Knowledge Transfer

    Typically 8-10 weeks

    Train internal IT staff on CI/CD practices, infrastructure as code, and incident response; establish internal playbooks.

  5. Steady-State Support

    Typically Ongoing

    Optional continued support through peak periods, with documentation and an agreed handover complete.

Typical team

  • Cloud Migration Architect
  • DevOps Engineer
  • Identity & Access Integration Specialist
  • Site Reliability Engineer
  • Application Migration Engineer
  • Security & Compliance Specialist
  • Delivery Manager

Intended outcomes

  • Reduced infrastructure costs freeing budget for student-facing digital initiatives
  • Elastic capacity that absorbs registration and enrollment peaks without manual intervention
  • Faster, safer delivery of application changes through automated CI/CD pipelines
  • Reduced dependency on individual staff members' institutional knowledge
  • Improved resilience of critical systems during high-stakes academic periods

How progress is measured

  • System availability during peak registration/enrollment periods
  • Deployment frequency and change failure rate
  • Infrastructure cost per academic term
  • Mean time to recovery for critical campus systems
  • Time to onboard new digital services
  • Reduction in manual deployment incidents

Security and compliance considerations

Data residency and access segmentation are addressed for institutions with research computing or grant-funded systems subject to additional federal data handling requirements.

We do not certify or audit. Decisions on compliance remain with your organization.

The service and industry pages behind this scenario, and other scenarios like it.

Working on something similar?

A discovery call is a working conversation about your systems and goals. You will leave with a clearer view of options, whether or not we work together.