The "Meh-trics" Reloaded: Why I Was 100% Wrong About Metrics (and Also 100% Right)
Blog post from Honeycomb
Charity Majors, known for her critical stance on the over-reliance on metrics for observability, reflects on Honeycomb's decision to invest in metrics, acknowledging their value in specific contexts. While traditionally dismissive of metrics as inadequate for understanding complex systems and user experiences, she concedes that infrastructure metrics remain essential for monitoring platform health. Majors emphasizes the distinction between "small-m metrics," often used generically, and "big-M Metrics," which are efficient for telemetry due to their simplicity. However, she argues that these metrics often lack the contextual richness needed for comprehensive analysis, advocating for a more integrated approach that combines infrastructure metrics with trace-based investigation tools. She highlights the potential of tool consolidation to streamline workflows, reduce cognitive load, and enhance the ability to diagnose issues effectively, while recognizing that the right tools should be used for the right tasks to achieve both operational efficiency and deep observability.