loki/docs

Like Prometheus, but for logs!

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

It builds around the idea of treating a single log line as-is. This means that instead of full-text indexing them, related logs are grouped using the same labels as in Prometheus. This is much more efficient and scales better.

Components

• Loki: The main server component is called Loki. It is responsible for permanently storing the logs it is being shipped and it executes the LogQL queries from clients. Loki shares its high-level architecture with Cortex, a highly scalable Prometheus backend.
• Promtail: To ship logs to a central place, an agent is required. Promtail is deployed to every node that should be monitored and sends the logs to Loki. It also does important task of pre-processing the log lines, including attaching labels to them for easier querying.
• Grafana: The Explore feature of Grafana 6.0+ is the primary place of contact between a human and Loki. It is used for discovering and analyzing logs.

Alongside these main components, there are some other ones as well:

• LogCLI: A command line interface to query logs and labels from Loki
• Canary: An audit utility to analyze the log-capturing performance of Loki. Ingests data into Loki and immediately reads it back to check for latency and loss.
• Docker Driver: A Docker log driver to ship logs captured by Docker directly to Loki, without the need of an agent.
• Fluentd Plugin: An Fluentd output plugin, to use Fluentd for shipping logs into Loki