Introduction to Loki: Like Prometheus, but for Logs
Introduction to Loki: Like Prometheus, but for Logs
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Introduction to Loki: Like Prometheus, but for Logs
Introduction to Loki: Like Prometheus, but for Logs
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Introduction to Loki: Like Prometheus, but for Logs
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Description
Agenda includes:
- What does Loki do and how does it work?
- Basic configs and setup to run Loki and test it out.
- How to use Loki from Grafana.
- An introduction to querying and LogQL.
- Q&A
About Loki
Loki is a horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost-effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream.
The Loki project was started at Grafana Labs in 2018 and announced at KubeCon Seattle. Loki, which is released under the Apache 2.0 License, reached GA with v1.0.0 in November 2019.
Additional Resources
If you’re interested in learning about essential Loki configuration settings, watch the next webinar here.
Ed Welch
Principal Software Engineer, Grafana Labs
Ed has a varied career history of software development, including robotic control systems, vehicle fleet tracking, and telecom middleware. He has worked at both startups and large enterprises, and is now a Principal Software Engineer at Grafana Labs, where he leads the Loki project.
Cyril Tovena
Principal Software Engineer, Grafana Labs
At Grafana Labs, Cyril mainly focuses on Loki, an open source logs aggregation system inspired by Prometheus. He previously worked at Ubisoft, scaling dedicated game servers in the cloud using Kubernetes. Cyril also contributed to Agones creation, an open source project to scale dedicated servers on Kubernetes.