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https://github.com/square/metrics/ provides SQL-like interface to time series data with powerful functions to aggregate, filter and analyze (using Cassandra and Blueflood)
- for #1 data models
- `point` is the result of parsing a single line protocol
- when store, key is name + tags + field, value is ts + value
(int|float|bool|string), values are compressed, ts and value does not
mix togehter when compress, i.e. compress([]ts), compress([]int)
- for most storage, it just use json ...
- for influxdb, it use influxdb.Point
- [ ] TODO: k8s heapster is using cadvisor, but it seems has its own
sink for exporting metrics
- prometheus metrics is exported
The main purpose is to find how they represent series in go, i.e. a slice of struct{t, v} or a struct{[]t, []v} of slice.
https://godoc.org/?q=timeseries is my good friend /w\
TSDB
TSDB Proxy
Metrics (a lot of them support reporting to tsdb directly)
Monitor
Go (the language itself)
Non Go
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