Log Aggregation
Grafana Loki: Like Prometheus, but for Logs
The most cost-effective way to store and query your logs. Loki indices only metadata, not the full log line, allowing for massive storage savings and seamless correlation with your metrics.
Why Choose the Loki Approach?
Optimized for cloud-native environments where high cardinality and low cost are paramount.
Loki uses the exact same label model as Prometheus, making switching between metrics and logs instant.
Designed specifically for high-volume logs from Kubernetes and distributed applications.
Store logs in inexpensive object storage like S3 or GCS without the massive index overhead of ELK.
Unified Observability Experience
Loki doesn't just store logs; it completes your Grafana dashboard ecosystem. We help you build workflows where a metric spike leads you directly to the offending log line.
- →LogQL Power: Use a familiar syntax to filter, aggregate, and even generate metrics from logs.
- →Multi-Tenancy: Built-in support for isolating logs between different customers or internal teams.
Loki Deployment Path
Migrating from costly proprietary logging? Our horizontal migration plan ensures you transition safely without missing critical events.
The Simplicity of LogQL
Querying logs shouldn't feel like a chore. LogQL's functional approach allows you to filter billions of logs and generate real-time alerts without the overhead of full-text indexing.
- ✓ Filter by regex or exact match
- ✓ Create metrics (like Error Rate) from raw logs
- ✓ Native support for JSON and Key-Value parsing
// Calculate 5xx Error Rate per second
sum by (app) (
rate(
{env="prod"} |= "status=500" [5m]
)
)
Ready to Simplify Your Logging?
Stop overpaying for log indexing. Let us show you how Loki can provide 100% visibility for 20% of the cost.