How Evergen Uses TigerData to Scale Its Renewable Energy Monitoring Architecture

This story was originally published on HackerNoon at: https://hackernoon.com/how-evergen-uses-tigerdata-to-scale-its-renewable-energy-monitoring-architecture . How Evergen scaled renewable monitoring by moving from MongoDB to TigerData (TimescaleDB)—cutting infra use >50%, speeding queries <500 ms, & centralizing data. Check more stories related to cloud at: https://hackernoon.com/c/cloud . You can also check exclusive content about #evergen , #tigerdata , #timescaledb , #time-series-database , #renewable-energy-analytics , #postgresql , #continuous-aggregates , #good-company , and more. This story was written by: @tigerdata . Learn more about this writer by checking @tigerdata's about page, and for more stories, please visit hackernoon.com . Australia’s Evergen swapped a costly, complex MongoDB+Kafka setup for TigerData (TimescaleDB) to handle massive time-series from hundreds of thousands of devices. With SQL, continuous aggregates, compression, and tiered storage, it cut Kubernetes usage by 50%+, enabled 2-year retention, sub-500 ms dashboards, raw-data access, and simpler ops—all on familiar Postgres.