Using logs, metrics, and traces together is part of the definition of “observability,” according to 83% of the nearly 1,000 respondents to Logz.io’s annual DevOps Pulse study. Since the survey question had the option of “select all,” another finding is that two-thirds said observability is a measure of how well a system’s state can be inferred from output data. That latter definition is the one preferred by observability pioneer Charity Majors in her “Observability — A 3-Year Retrospective” post. End-users’ impressions of what these terms mean are important to Logz.io because the company itself is a cloud observability platform built on top of the ELK stack.
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