Large-Scale Logging Made Easy
17.08.2025 , HS 6
Sprache: English

In this session, Aliaksandr presents his innovative approach to log management after studying the limitations of existing logging systems.


Logging at scale is a common source of infrastructure expenses and frustration. While logging is something any organization does, there is still no silver bullet or just a simple and scalable solution without tradeoffs. In this session, Aliaksandr presents his innovative approach to log management after studying the limitations of existing logging systems. His solution is tailored for SREs, DevOps, and system engineers seeking a comprehensive logging platform for their organization. Aliaksandr's solution seamlessly integrates with existing logging agents, pipelines, and streams, efficiently storing logs in a highly optimized database. Notably, it offers lightning-fast query speeds and seamless integration with essential tools like jq, awk, and cut.

The speaker’s profile picture
Aliaksandr is a co-founder and the principal architect of VictoriaMetrics. He is also a well-known author of the popular performance-oriented libraries: fasthttp, fastcache and quicktemplate. Prior to VictoriaMetrics, Aliaksandr held CTO and Architect roles with adtech companies serving high volumes of traffic. He holds a Master’s Degree in Computer Software Engineering. He decided to found VictoriaMetrics after experiencing the shortcomings of all available time series databases and monitoring solutions.