Energy & Utilities
Cloud Infrastructure Modernization for Energy Saving Solutions
2+ years building a scalable cloud foundation for Luminace.
Results
Migrated legacy infrastructure to a fully containerized, cloud-native environment on GKE.
Reduced database and data-access costs through Redis clustering and PostgreSQL optimization.
Enabled real-time data visibility and performance monitoring across energy assets.
Accelerated deployment cycles with automated CI/CD and embedded DevSecOps practices.
Established a scalable data foundation to support future analytics and AI-driven optimization.
Highlights / Intro
Luminace, a subsidiary of Brookfield Renewable Resources, delivers large-scale monitoring and reporting for solar energy installations across multiple regions. Their platform relies on high-volume operational data to surface performance insights, cost efficiency, and system health across energy assets.
As their data footprint and reporting complexity grew, Luminace needed a modern cloud and data foundation; one that could support real-time visibility, reliable ingestion, and future AI-driven optimization without increasing operational overhead.
unosquare partnered with Luminace to modernize their infrastructure and data backbone, enabling a scalable, secure, and analytics-ready platform built for the next generation of energy intelligence.
Challenge
Luminace’s existing infrastructure limited their ability to fully leverage operational data at scale. They needed to:
Migrate from manual, legacy infrastructure to a cloud-native, data-ready architecture.
Improve performance and reliability for data-heavy monitoring and reporting workflows.
Reduce infrastructure and database costs while increasing system observability.
Establish a secure foundation capable of supporting advanced analytics and future AI use cases.
Solution
unosquare led a full cloud and data infrastructure modernization, designed to turn operational energy data into a scalable, reliable asset.
Using Google Kubernetes Engine (GKE), the team containerized the Python Django backend and React frontend, enabling consistent environments and elastic scaling. Redis clustering was implemented alongside PostgreSQL to optimize high-frequency data access patterns and reduce database load.
To ensure data reliability and system intelligence, Unosquare integrated Prometheus and Grafana, providing real-time monitoring, performance insights, and operational visibility across environments. Automated CI/CD pipelines via GitLab, combined with Terraform-based infrastructure automation, embedded DevSecOps practices directly into the delivery lifecycle.
This modernization transformed Luminace’s platform into a cloud-native, data-first system; enabling faster releases, better visibility into energy performance, and a foundation ready for advanced analytics and AI-driven optimization.
Scope:
- Backend & Frontend Development
- Cloud Infrastructure & Automation
- Data Infrastructure Optimization
- Monitoring, Observability & DevSecOps Enablement
Tech Stack
Python, Django, React, PostgreSQL + Redis, GKE, Terraform, GitLab CI/CD, Prometheus, Grafana
Centers of Excellence Involved
Cloud & Infrastructure COE → Architected GCP-based environment for scalability and reliability.
Software Engineering COE → Optimized backend services and data access patterns for containerized, cloud-native execution.
IT Ops COE → Embedded CI/CD, infrastructure automation, and DevSecOps practices to ensure secure, continuous delivery.
QA COE → Validated performance, data integrity, and system stability across environments and releases.
From manual deployments to cloud-native agility, Luminace now operates with full visibility, automation, and control.
Next Starts Here
