Simple & Reliable Monitoring That Scales

Proper alerting is an art. It is all about foreseeing bad scenarios before they happen, so you can prepare for them. In this article, we go through practical recommendations of approaching the alerting to reduce alerting fatigue and avoid false positives.

Tech Talk: In this post, we explore vmanomaly through the eyes of its creators. Learn how this AI-powered alerting system helps cut through noise, avoid static rule spaghetti, and deliver actionable insights directly from your monitoring data.

VictoriaLogs uses three core concepts: message, time, and stream fields to structure log data. Too few streams create fat streams that are slow to query, while too many unique stream combinations create high cardinality problems…