Rebuilding a national energy datahub without taking it offline
Estonia’s independent electricity and gas transmission system operator, whose Estfeed Datahub manages 1.5 million metering points and underpins the country’s liberalized energy market.
- Regression testing
- 10-50x faster
- Metering points
- 1.5 million
- Continuity
- Zero downtime during rebuild
Challenge
Estfeed was originally built by an external firm relying on subcontractors without energy-sector expertise, leaving Elering with massive datasets, dozens of interdependent access rules, and significant technical debt — all while the platform had to keep serving millions of daily energy market transactions.
Solution
- Agile, collaborative practices. Moved from quick fixes to Kanban, agile design, and requirements-driven processes; Elering’s in-house architects guide the vision, Srini executes.
- AI-powered productivity. Windsurf, Gemini, NotebookLM, and ChatGPT speed up development, documentation, and translation across the team.
- Custom AI testing tool. A Python-based AI testing tool that sped up regression testing by 10–50× — essential given the system’s size and complexity.
- Domain-specific investment. Unlike prior subcontractors, Srini invested time in understanding energy-sector IT, so every solution fits the regulatory and operational reality.
- AI
- Backend
- Java
- Public
- Self-Service

Result
- Estfeed continues to support millions of energy market transactions without disruption, even mid-rebuild.
- Regression cycles that used to take weeks now complete in a fraction of the time.
- Elering shifted from fragmented outsourcing to a hand-in-hand in-house + Srini model.
- New features and fixes ship much faster — critical in the fast-moving European energy market.
Key takeaway
Mission-critical national infrastructure can be rebuilt mid-flight — but only with domain investment, AI-paired engineering, and in-house leadership owning the vision.