{"id":23,"date":"2026-02-25T14:55:58","date_gmt":"2026-02-25T14:55:58","guid":{"rendered":"https:\/\/srini.ee\/?post_type=case&p=23"},"modified":"2026-05-27T12:36:35","modified_gmt":"2026-05-27T12:36:35","slug":"rebuilding-a-national-energy-datahub-without-taking-it-offline","status":"publish","type":"case","link":"https:\/\/srini.ee\/en\/case-studies\/rebuilding-a-national-energy-datahub-without-taking-it-offline\/","title":{"rendered":"Rebuilding a national energy datahub without taking it offline\u00a0"},"content":{"rendered":"
\r\n

Estonia’s independent electricity and gas trans<\/span>mi<\/span>s<\/span>sion system operator, whose\u00a0<\/span>Estfeed<\/span>\u00a0Datahub manages 1.5\u00a0<\/span>mi<\/span>llion metering points and underpins the country’s\u00a0<\/span>liberalized<\/span>\u00a0energy market.<\/span><\/span>\u00a0<\/span><\/h3>\n<\/div>\r\n\r\n\n\n
\r\n
\r\n \r\n
\n\r\n
\r\n
\r\n
Regression testing<\/dt>\r\n
10-50x faster<\/dd>\r\n <\/dl>\r\n
\r\n
Metering points<\/dt>\r\n
1.5 million<\/dd>\r\n <\/dl>\r\n
\r\n
Continuity<\/dt>\r\n
Zero downtime during rebuild<\/dd>\r\n <\/dl>\r\n <\/div>\n<\/div>\r\n <\/div>\r\n \r\n<\/div>\r\n\n\n
\r\n

Challenge\u00a0<\/strong><\/p>\n

Estfeed\u00a0was originally built by an external\u00a0firm relying on subcontractors without energy-sector\u00a0expertise, leaving\u00a0Elering\u00a0with massive datasets, dozens of interdependent access rules, and significant technical debt \u2014 all while the platform had to keep serving\u00a0millions of daily energy market transactions.<\/span>\u00a0<\/span><\/p>\n

Solution\u00a0<\/strong><\/p>\n

    \n
  • Agile, collaborative practices.\u00a0<\/span><\/b>Moved from quick fixes to Kanban, agile design, and requirements-driven processes;\u00a0Elering’s\u00a0in-house architects guide the vision, Srini executes.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
      \n
    • AI-powered productivity.\u00a0<\/span><\/b>Windsurf, Gemini,\u00a0NotebookLM, and ChatGPT speed up development, documentation, and translation across the team.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
        \n
      • Custom AI testing tool.\u00a0<\/span><\/b>A Python-based AI testing tool that\u00a0sped\u00a0up regression testing by 10\u201350\u00d7 \u2014 essential given the system’s size and complexity.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
          \n
        • Domain-specific investment.\u00a0<\/span><\/b>Unlike prior subcontractors, Srini invested time in understanding energy-sector IT, so every solution fits the regulatory and operational reality.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n<\/div>\r\n\r\n\n\n\n
          \n
          \n\t
            \n\t\t\t\t\t\t\t\t
          • \n\t\t\t\t\n\t\t\t\t\tAI<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
          • \n\t\t\t\t\n\t\t\t\t\tBackend<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
          • \n\t\t\t\t\n\t\t\t\t\tJava<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
          • \n\t\t\t\t\n\t\t\t\t\tPublic<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
          • \n\t\t\t\t\n\t\t\t\t\tSelf-Service<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t<\/ul>\n\t<\/div>\n<\/div>\n\n\n\n
            \"\"<\/figure>\n\n\n
            \r\n

            Result\u00a0<\/strong><\/p>\n

              \n
            • Estfeed\u00a0continues to support\u00a0millions of energy market transactions without disruption, even\u00a0mid-rebuild.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
                \n
              • Regression cycles that used to take weeks now\u00a0complete\u00a0in a fraction of the time.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
                  \n
                • Elering\u00a0shifted from fragmented outsourcing to\u00a0a hand-in-hand\u00a0in-house + Srini model.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
                    \n
                  • New features\u00a0and fixes ship much faster \u2014 critical in the fast-moving\u00a0European energy market.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n

                     <\/p>\n

                    Key takeaway\u00a0<\/strong><\/p>\n

                    Mission-critical national infrastructure can be rebuilt\u00a0mid-flight \u2014 but only with domain investment, AI-paired engineering, and in-house leadership owning the vision.<\/span>\u00a0<\/span><\/p>\n<\/div>\r\n\r\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"featured_media":1198,"template":"","case_category":[9,33,10,7,32],"industry":[40,12],"class_list":["post-23","case","type-case","status-publish","has-post-thumbnail","hentry","case_category-ai","case_category-backend","case_category-java","case_category-public","case_category-self-service","industry-energy","industry-public"],"acf":[],"yoast_head":"\nRebuilding a national energy datahub without taking it offline\u00a0 \u2013 SRINI Case Study<\/title>\n<meta name=\"description\" content=\"Rebuilding critical energy infrastructure: how SRINI helped Elering transform its national datahub \u2013 A SRINI case study in AI-powered software development.\" \/>\n<meta name=\"robots\" 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