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Fair usage limits: a safer way to scale observability

Blog post from Coralogix

Post Details
Company
Date Published
Author
Ofri Grushka
Word Count
1,041
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Observability 8 2,104 424 141 -21%
Kubernetes 1 930 177 84 -40%
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