Why Are we Analyzing Only 1% of Our Logs?

Coralogix highlights the inefficiencies in current log data analysis practices, noting that a significant portion of log data consists of repetitive patterns, with 70% stemming from just five templates and 95% from ten. This redundancy leads to a focus on a narrow subset of logs, often overlooking rare but critical events. The company found that over 90% of user queries target these dominant templates, and 97% of exceptions arise from less than 3% of the known errors, creating noise that obscures genuine issues. Critical errors, generated by only 0.7% of templates, account for a mere 0.025% of traffic, making them easy to miss. Rare log events, queried infrequently, are often ignored until they escalate into larger problems, prompting the need for a more proactive and structured approach to log management to identify and address these anomalies effectively.

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