Electricity Transmission System Modernization
A cloud-native platform for scalable grid analytics and automation
Client: One of the largest TSOs in the EU, Germany
GPU
accelerated grid calculations and neural networks
Parallel
run beside the legacy system for direct comparison
Cloud-agnostic
modular platform, not tied to one provider
Challenge
Outdated algorithms, poor data integration, limited scalability and high operational complexity kept the legacy system from analysing the grid in real time — and from growing. Whatever replaced it had to run alongside it with minimal disruption, and to support GPU computation and predictive models.
Solution
A modular, cloud-agnostic platform on microservices and event-driven architecture, with GPU-accelerated services and neural networks. It integrates diverse data sources and scales with the analytics, with logging, SSO and MLOps/DataOps practice for observability and automation.
Implementation
- 01Independent components developed iteratively
- 02Spark on Kubernetes for semi-structured data processing
- 03Microservices and GPU-powered services for grid calculations
- 04Enhanced logging and log search
- 05Event-based integration, SSO through AD/IDP, infrastructure automation
Business impact
Running in parallel with the legacy system, so results could be compared directly
Faster decisions through real-time visibility of calculations
Better data quality from automated validation and filtering
A scalable foundation ready for the next modules
Technology stack
Have a complex system to build or modernize?
Tell us what must change. We will bring the relevant domain and engineering leads into the conversation.