Grafana Loki

Grafana Loki

Grafana Loki is an open source logging aggregation system designed to be part of the Grafana ecosystem. It is optimized for saving, indexing, and querying logs through labels and streams.
Grafana Loki image
logs monitoring observability

Grafana Loki: Open Source Logging Aggregation System

An open source logging aggregation system designed for the Grafana ecosystem, optimized for saving, indexing, and querying logs through labels and streams.

What is Grafana Loki?

Grafana Loki is an open source logging aggregation system designed specifically for cloud native infrastructure. It is optimized for saving, indexing, and querying logs through labels and streams rather than unstructured text.

Some key features of Grafana Loki include:

  • Horizontally scalable - built on top of Prometheus's remote write protocol.
  • Log queries - filter and aggregate logs in real-time using PromQL (Prometheus Query Language).
  • Labels - apply labels to log streams which allows users to query logs by specific attributes.
  • Multiple tenants - ability for multiple isolated users within the same Loki cluster.
  • Ingestion via Docker or agent. Integrates well with popular data sources like Kubernetes.
  • Can be combined with tools like Grafana for visualization and dashboarding of logs.

Overall, Loki provides a flexible platform optimized specifically for logging and observable data, rather than general purpose data storage. Its tight integration with the Grafana ecosystem makes it a popular choice for cloud native logging pipelines.

Grafana Loki Features

Features

  1. Log aggregation system
  2. Optimized for querying logs
  3. Uses labels to organize log streams
  4. Integrates with Grafana for visualizations

Pricing

  • Open Source

Pros

Open source and free

Scales horizontally

Fast queries

Integrated with Grafana ecosystem

Cons

Less features than commercial competitors

Steep learning curve

Not ideal for metrics storage


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