Back to the Future of Time Series Data
summary
Hands-on demo using .NET, InfluxDB and Grafana shows how line protocol and batch writing deliver millisecond-scale ingestion; the generator emits 20 points every 5s across five Deloreans and up to 500 unique combinations to illustrate high-cardinality pain. Queries use time-bucketing, select-specific-fields and rollups to turn slow scans into millisecond reads, and panels compute derivatives and simple forecasts (hours-until-empty, temp rise >2°C/30min) — dashboard and GitHub repo are functional.
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chapters (11)
- 0:00Introduction to time series
- 1:38Defining time series data
- 4:50Historical data analysis
- 7:54Pattern detection techniques
- 9:05Database growth management
- 11:33Efficient real-time writing
- 16:12Taming high cardinality
- 17:45Future prediction methods
- 21:19DeLorean dashboard demo
- 23:33Code and configuration walkthrough
- 43:56Conclusion and wrap-up
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