Fair usage limits: a safer way to scale observability
Blog post from Coralogix
Coralogix has introduced fair usage limits to enhance transparency, predictability, and platform reliability as its customers scale their observability data usage. These limits, starting with metrics and infrastructure monitoring, aim to provide clear feedback and visibility into system behavior rather than impose restrictions. By defining thresholds for high-impact behaviors like ingestion volume and query complexity, the platform helps users understand and adjust usage patterns before they affect stability or performance. When limits are approached or exceeded, Coralogix provides structured diagnostic logs to explain the situation and suggest actions, ensuring teams maintain control and have the necessary context to respond. Unlike traditional quota systems, these limits focus on exposing and understanding system behavior, thereby supporting confident scaling with guardrails instead of hard stops.