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How Evergen Uses TigerData to Scale Its Renewable Energy Monitoring Architecture

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.


Published on 1 month, 3 weeks ago






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