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How Logz.io Reduced Internal Logs Volume by 50% Using Data Optimization Hub

Blog post from Logz.io

Post Details
Company
Date Published
Author
Oleksii Hnatiuk
Word Count
835
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

Logz.io undertook a significant data volume optimization initiative, successfully reducing their internal log volume by 50% from November 2022 to February 2023, achieving an average daily volume of 1.5 TB. This effort was driven by the need for cost efficiency in observability practices, focusing initially on identifying and eliminating low-value logs using their Data Optimization Hub. The process involved setting drop filters for infrequently used logs, collaborating with development teams to manage obsolete logs, and refining the generation of heavy logs by removing unnecessary information. The company emphasized the importance of ongoing monitoring and alerts to maintain reduced log volumes and costs, highlighting their AI-powered observability tools and inviting users to explore their Data Optimization Hub through a free trial.

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