Loki
A horizontally-scalable, multi-tenant log aggregation system inspired by Prometheus, designed for cost-effectiveness and ease of operation.
What is Loki?
Loki is a horizontally-scalable, highly-available log aggregation system designed to be cost-effective and easy to operate. It collects, stores, and queries logs using a label-based indexing approach similar to Prometheus, avoiding full-text indexing to reduce complexity and cost. It is particularly well-suited for cloud-native environments like Kubernetes.
DevOps engineers, SREs, and platform teams managing observability stacks in cloud-native or Kubernetes environments who need efficient log aggregation.
Developers choose Loki for its seamless integration with Prometheus and Grafana, its cost-effective design that avoids expensive full-text indexing, and its simplicity of operation in scalable, multi-tenant deployments.
Overview
Like Prometheus, but for logs.
Use Cases
Best For
- Aggregating and querying Kubernetes Pod logs with automatic metadata indexing
- Building a unified observability stack with metrics and logs using Prometheus labels
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