from the website:
We have pretty good storage of timeseries data, collection agents, and dashboards. But the idea of giving timeseries a "name" or a
"key" is profoundly limiting us. Especially when they're not standardized and missing information.
Metrics 2.0 aims for self-describing, standardized metrics using orthogonal tags for every dimension. "metrics" being the pieces of information that point to, and describe timeseries of data.
- increase compatibility between tools
- get immediate understanding of metrics
- build graphs, plots, dashboards and alerting expressions with minimal hassle