The Green Side Of Observability: Why Less Data Can Mean More Insight
devops.com, Monday, March 16th, 2026
When we think about sustainability in software, the conversation often revolves around efficient algorithms, optimized cloud usage, or energy-conscious infrastructure. Rarely do we consider observability, the practice that allows us to understand systems, maintain reliability, and troubleshoot issues, as part of the equation. Yet every metric collected, every log retained, and every dashboard query consumes energy. At scale, this translates into a measurable carbon footprint.
Modern software systems are complex, distributed, and highly dynamic. Observability - collecting metrics, logs, and traces - is essential for understanding these systems. However, the very practices that make observability effective can also make it wasteful. High-cardinality metrics, verbose logging, long retention periods, and large numbers of complex dashboards increase storage and compute requirements, which in turn drive energy consumption and carbon emissions.
This creates an observability sustainability paradox: the more data we collect to gain insights, the more energy we consume, potentially undermining sustainability goals. Treating observability's capacity as unlimited may solve operational problems in the short term, but it carries hidden ecological and cost consequences.