End-to-End Quality Validation for a Solar Monitoring Platform
Validating Digital Energy Solutions Across Southeast Asia
A leading Energy-as-a-Service (EaaS) provider in Asia needed a robust quality assurance process to validate their solar energy monitoring platform as it transitioned from a PHP backend to a dynamic Angular frontend. Operating across eight Southeast Asian countries, the platform delivers critical energy insights to industrial clients. Our QA team verified data consistency, functional flows, and cross-platform compatibility to ensure a flawless deployment.
Locations Covered
Script stability achieved
-
1 week of intensive post-remediation monitoring for stability -
Ensured accurate solar energy data visualization and reporting -
Validated seamless backend-to-frontend data transition
Tools we Used
Ensuring Data Integrity During a Platform Transition
A Strategic QA Approach to Safeguard Platform Performance
-
Adopted Agile methodology, Scrum, for flexible project management -
Built structured test suites in Zephyr, integrated with JIRA for traceability -
Executed comprehensive testing: Smoke, Sanity, Regression, Integration -
Conducted detailed validation of solar modules, inverters, MPPT, irradiance, and net energy metrics -
Implemented cross-platform compatibility checks for all plant locations
What we did?
Functional and Integration Testing 
Structured Test Management 
Addressing Critical Failures 
Enhancing Client Collaboration Functional and Integration Testing
To begin with, we verified the complete data flow and functionality across modules such as MPPT, solar modules, inverters, and net energy reporting. Each plant’s data integrity was scrutinized, ensuring accurate measurement and visualization of solar production metrics across the dashboard. This rigorous functional coverage minimized the risk of operational disruptions post-deployment.
Structured Test Management
Next, tasks were systematically assigned using JIRA, and test cases were meticulously built in Zephyr. This structured approach ensured complete test coverage and end-to-end traceability, enabling us to manage regression and integration cycles efficiently under Agile workflows. By maintaining transparent tracking, we accelerated test cycles and improved team accountability.
Addressing Critical Failures
Meanwhile, during testing, data population failures surfaced despite optimal plant performance. Our team rapidly diagnosed minor backend coding errors that disrupted data retrieval, applied targeted fixes, and subsequently monitored system performance intensively for a full week post-remediation. Proactive issue resolution ensured stable data flow and restored platform confidence.
Enhancing Client Collaboration
Finally, through continuous collaboration on Microsoft Teams and WhatsApp, we maintained open communication with the development team. This real-time feedback loop allowed for faster decision-making and expedited the resolution of critical issues, ensuring all project milestones were met on schedule. Strong collaboration helped align QA outcomes with the client’s strategic digital transformation goals.
Talk to our Experts
trust us
