A single-node version of VictoriaLogs can handle hundreds of terabytes of logs. What if this isn't enough for you? Then the cluster version of VictoriaLogs comes to the rescue! It can scale to tens of petabytes of logs. This talk dives into the architectural details of the VictoriaLogs cluster, which explains how it achieves linear horizontal scalability for both data ingestion and querying paths. There is no magic - the cluster architecture is clear and quite simple. The talk also covers typical use cases for the VictoriaLogs cluster when a single-node version isn't enough.

🌟 Session Overview 🌟

Session Name: Large-Scale Logging Made Easy Speaker: Aliaksandr Valialkin Session Description: 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 simple, scalable solution without trade-offs.

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.

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