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Like Prometheus, but for logs.
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Edward Welch 6841c418ef
promtail retry 429 rate limit errors, clarifying risks in the docs of configuring multiple client sections in promtail, also increased the backoff and retry settings in promtail. 		5 years ago
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README.md

Loki Documentation

Loki Logo
Like Prometheus, but for logs!

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

Unlike other logging systems, Loki is built around the idea of only indexing metadata about your logs: labels (just like Prometheus labels). Log data itself is then compressed and stored in chunks in object stores such as S3 or GCS, or even locally on the filesystem. A small index and highly compressed chunks simplifies 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