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

Introduction Imagine being the on-call engineer for a high-traffic system. Every alert that comes through might be important, or it might just be noise. Over time, that constant stream of notifications becomes overwhelming. Critical issues get buried, engineers burn out, and the system’s reliability suffers. We’ve come to treat this as a normal part of working with distributed systems. But it doe… more