Loki Documentation

Like Prometheus, but for logs!

Grafana Loki is a set of components that can be composed into a fully featuredlogging stack.

Unlike other logging systems, Loki is built around the idea of only indexingmetadata about your logs: labels (just like Prometheus labels). Log data itselfis then compressed and stored in chunks in object stores such as S3 or GCS, oreven locally on the filesystem. A small index and highly compressed chunkssimplifies the operation and significantly lowers the cost of Loki.

Table of Contents

1. Overview
   1. Comparison to other Log Systems
2. Installation
   1. Installing with Tanka
   2. Installing with Helm
   3. Installing Locally
3. Getting Started
   1. Grafana
   2. LogCLI
   3. Troubleshooting
4. Configuration
   1. Examples
5. Clients
   1. Promtail
      1. Installation
      2. Configuration
      3. Scraping
      4. Pipelines
      5. Troubleshooting
   2. Docker Driver
      1. Configuration
   3. Fluent Bit
   4. Fluentd
6. LogQL
7. Operations
   1. Authentication
   2. Observability
   3. Scalability
   4. Storage
      1. Table Manager
      2. Retention
   5. Multi-tenancy
   6. Loki Canary
8. HTTP API
9. Architecture
10. Community
    1. Governance
    2. Getting in Touch
    3. Contributing to Loki
11. Loki Maintainers Guide
    1. Releasing Loki