Components
Grafana Loki
Log aggregation component for Runtime observability and debugging.
Component Category
Monitoring and debugging / logging
Component Description
Grafana Loki is a log aggregation system built to collect, store, and query logs efficiently at scale.
Why It Is Used
In BullSequana AI Runtime, Loki provides centralized logging for platform services, helping operators investigate incidents, correlate events, and debug runtime behavior.
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Deployment notes
Loki deploys in distributed mode in the grafana-loki namespace at sync wave 10 in the common tier. Core components (ingester, querier, distributor, compactor, index-gateway) run with a replication factor of 3. The ingester is auto-raised to three replicas to match the replication factor. Log chunks are stored in the Rook Ceph RGW S3 backend with 30-day retention.
Interacts With
Grafana, which uses Loki as the log data source.Grafana Alloy, which forwards Kubernetes logs into Loki.Rook Ceph, which provides S3-compatible object storage for Loki log chunks through RGW.