Workshop – Accessing log data with Loki

Loki is a powerful, scalable, and easy-to-use solution for aggregating log data.

One day, during one of my company’s cloud project meetings, a developer colleague said, “I need to find a way to quickly access logs for debugging and troubleshooting.” I already had some experience with the Grafana-Prometheus, so I said I would help find a solution.

It turns out, the solution we settled on was Loki [1], from Grafana Labs. The Grafana Labs website describes Loki as “…a horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus.” Loki is designed to aggregate logs efficiently, extracting metrics and alerts – all without requiring a massive indexing configuration. Once you have extracted the information you need, you can then use Grafana to visualize the data.

This workshop offers a quick look at how to access log data using Loki. In this scenario, I will push logs generated by an Apache web server hosting a sample Nextcloud deployment, then evaluate the data using Loki’s own query language, LogQL.


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