Level up your Big Data game with Redis Time Series!
summary
Shows how RedisTimeSeries stores samples as 128‑bit samples in fixed chunks, exposes TS.ADD/TS.CREATE/TS.CREATERULE for compaction, and integrates with Grafana integration for dashboards. Demonstrates downsampling that turns 1 billion → 1,440 per day by per‑minute AVG compaction, explains chunk‑size tradeoffs for out‑of‑order inserts and recommends smaller chunks to avoid expensive decompression, and claims low‑latency high‑volume ingest with label queries and built‑in aggregation functions that work at read time.
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chapters (13)
- 0:00Start
- 8:36TIME SERIES WITH CORE REDIS DATA STRUCTURES
- 10:30TIME SERIES DATABASES
- 12:55CHARACTERISTICS OF TIME-SERIES DATA
- 17:13FEATURES
- 18:33CONFIGURATION
- 21:47COMPACTION POLICY
- 23:12DOWNSAMPLING/COMPACTION
- 28:43INTEGRATIONS
- 30:34REDIS DATA SOURCE FOR GRAFANA
- 33:52OUT-OF-ORDER
- 38:58AGGREGATION AT READ TIME
- 46:30REFERENCES & ATTRIBUTES
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