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time_series_database
- Optimized for appending: TSDBs assume write-once data; use delta encoding and compression for efficient storage
- Multi-dimensional model: Data = metric name + timestamp + labels (e.g.,
region="ap-sg",instance="app1")
Labels allow slicing and dicing.
- Cardinality: Total number of unique time-series (label combinations). High cardinality increases memory, storage, and query latency
- Scaling limits: Single Prometheus typically handles ~1–2 million series. Exceeding this requires strategies like sharding, federation, or adopting specialized TSDBs