Campx runs admissions, academics, library, hostel and fee management from one platform. It had become a single, tightly coupled application: a bug or change in one module could stall the others, and every release risked the whole system.
Every microservice runs the same seven-stage DevSecOps pipeline, independently of the others, using AWS-native, third-party and open-source tools.
| # | Stage | Description |
|---|---|---|
| 1 | Plan / Design | Service boundaries and migration plan |
| 2 | Code | Each service in its own source repository |
| 3 | Verify | Automated security scans of code, dependencies and container images act as a gate |
| 4 | Integrate | Automated build, unit and integration tests; approved images stored in a private registry |
| 5 | Deploy | Infrastructure as code with drift detection and compliance checks |
| 6 | Release | Approvals, feature flags, release notes and per-service rollback |
| 7 | Operate and monitor | Live dashboards, tracing and alerts against service targets |
The solution design does not yet report measured, post-implementation cost savings — per-document processing cost will be tracked going forward via AWS Cost Explorer once the solution is live. What the design does establish is where the return is expected to come from, based on the operational targets above:
To translate these into a dollar ROI figure, Gro Digital Platforms would need to supply a few inputs once available — current manual processing cost per document, average operations headcount cost, and monthly document volume — which can then be modeled against the post-go-live Cost Explorer data. We’d recommend adding a measured ROI figure to this case study once 60–90 days of production data is available.
