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LOKI
Log aggregation that's cheap, fast, and natively integrated with Grafana
AGPL-3.0
ABOUT
Traditional log aggregation systems like Elasticsearch index the full text of every log line, which becomes prohibitively expensive at the scale of modern AI infrastructure — model servers generate gigabytes of access and error logs daily. Loki takes a different approach: it only indexes metadata labels (service name, host, level) and stores log content compressed in object storage. This makes it an order of magnitude cheaper to operate while still enabling fast label-based log search.
INTEGRATION GUIDE
1. Aggregate logs from LLM inference servers, API gateways, and vector databases for centralized search
2. Correlate error logs with Jaeger traces and Prometheus metrics in Grafana dashboards
3. Monitor log volume and error rates across AI service deployments with alerting rules
4. Search and filter production logs by service label, severity, and time range in seconds
5. Store months of AI infrastructure logs at a fraction of the cost of full-text indexing systems
TAGS
loggingobservabilitylog-aggregationmonitoringprometheusgrafanacloud-native