Loki
Loki is a horizontally scalable, highly available, multi-tenant log aggregation system developed by Grafana Labs. It distinguishes itself by indexing only metadata (labels) rather than the full log content, making it cost-effective and operationally simpler than traditional log systems like…
Key facts
- First appeared
- 2018
- Category
- cloud_infrastructure
- Problem solved
- Traditional log aggregation systems (e.g., Elasticsearch, Splunk) are resource-intensive and expensive due to full-text indexing, making them complex to operate at scale. Loki was created to solve the problem of cost-effectively storing and querying application logs at scale, particularly in cloud-native environments, by only indexing log metadata and relying on inexpensive object storage for raw log data.
- Platforms
- Linux, Kubernetes, Docker
Related technologies
Notable users
- Grafana Labs
- Numerous companies leveraging cloud-native infrastructure and Kubernetes for their logging needs. Specific public user lists are not extensively published, but its integration with Grafana and Prometheus makes it a popular choice in the CNCF ecosystem.