Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

loki

loki• Pinned

loki: A horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus.

What problem it solves

Organizations need to aggregate, store, and query logs without operating a complex full-text indexing system. Loki addresses this with compressed, unstructured logs and metadata-based indexing using labels that can also be used to switch between metrics and logs.

Key features

  • Label-based log indexing — Loki stores compressed log content and indexes labels associated with each log stream rather than indexing the full text of logs.

    Source: README

  • Scalable multi-tenant aggregation — The system is designed for horizontal scaling, high availability, and multi-tenant log aggregation.

    Source: README

  • Simple single-binary operation — Loki can run in a single-host, no-dependencies mode, making it straightforward to build and run locally.

    Source: README, cmd

  • Integrated logging stack — The documented stack combines Alloy for log collection, Loki for storage and query processing, and Grafana for querying and displaying logs.

    Source: README

  • Kubernetes log support — Loki is positioned as a suitable system for Kubernetes Pod logs, with Pod metadata automatically scraped and indexed.

    Source: README

Quick start

Copied verbatim from the project's README.

# Build binary
$ make loki

# Run executable
$ ./cmd/loki/loki -config.file=./cmd/loki/loki-local-config.yaml

Who it may suit

Inference: may suit teams operating cloud-native environments that need multi-tenant log aggregation, especially those collecting Kubernetes Pod logs and querying them through Grafana.

Topics to discuss

  • How should operators balance label cardinality against storage and query requirements?

  • What workflows are most effective when moving from Promtail to Alloy for log collection?

  • Which operational practices are essential for maintaining reliable ingestion and query processing?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/grafana/loki#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/grafana/loki

Comments

…