Introduction Metrics are the fundamental unit of time series databases (TSDB). They consist of labels which denote dimensions e.g. http_status_code, url, etc. Critical insights require metrics to have both breadth (e.g. large number of labels) and depth (e.g. each label having a large number of unique values). This makes up metric cardinality. Higher cardinality == deeper insights. This talk will… more

Introduction The observability stack in modern organizations often consists of multiple vendors handling logs, metrics, and traces. This results in inconsistent data formats and conventions, increasing the operational overhead of maintaining these pipelines. more