Recorded at Cloud Native Prague, 27 February 2020. Video credit to Revology.
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Loki is a horizontally-scalable, highly-available log aggregation system inspired by Prometheus. It is designed to be very cost-effective and easy to operate, as it does not index the contents of the logs, but rather labels for each log stream.
In this talk, we will introduce Loki, its architecture and the design trade-offs in an approachable way. We’ll both cover Loki and Promtail, the agent used to scrape local logs to push to Loki, including the Prometheus-style service discovery used to dynamically discover logs and attach metadata from applications running in a Kubernetes cluster.
Finally, we’ll show how to query logs with Grafana using LogQL - the Loki query language - and the latest Grafana features to easily build dashboards mixing metrics and logs.
Негізгі бет Ғылым және технология Grafana Loki: like Prometheus, but for Logs
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