Time series databases have key architectural design properties that make them very different from other databases. These include time-stamp data storage and compression, data lifecycle management, data summarization, ability to handle large time series dependent scans of many records and time series aware queries.(This is very important when we wanna fetch data in a period of time from database).
Technical story: The InfluxDB seems to support Grafana very well, therefore backend team need to investigate the compatibility
Acceptance criteria:
Definition of Done:
Other information: https://grafana.com/docs/grafana/latest/features/datasources/influxdb/ https://grafana.com/blog/2019/11/06/how-to-stream-sensor-data-with-grafana-and-influxdb/ https://www.influxdata.com/products/influxdb-overview/ https://stackoverflow.com/questions/50198741/django-influxdb https://stackoverflow.com/questions/25212009/django-postgres-large-time-series/32641215#32641215