DevConf.CZ 2020

Loki is a horizontally-scalable, highly-available log aggregation system inspired by Prometheus. It is designed to be cost-effective and easy to operate, as it does not index the contents of the logs, but rather labels for each log stream.

Loki is built for efficiency alongside the following goals:
1. Logs should be cheap. Nobody should be asked to log less.
2. Easy to operate and scale.
3. Metrics, logs (and traces later) need to work together.

Loki initially targets Kubernetes logging, using Prometheus service discovery to gather labels for log streams. As such, Loki enables you to easily switch between metrics and logs, streamlining the incident response process - a workflow we have built into the latest version of Grafana.

In this talk we will discuss the motivation behind Loki, it's design and architecture, and what the future holds.