Segment 2
In this sub-session, the assistant focused on debugging and enhancing the test cluster for the horizontally scalable S3 architecture. Key issues included Go 1.22 HTTP route conflicts between HEAD / and GET /healthz in Kuri nodes, which were resolved by replacing the standard ServeMux with a custom handler; the web UI container on port 9010 was fixed by replacing a placeholder with an Nginx reverse proxy; and the S3 proxy on port 8078 was corrected by manually adding the node_id column to the S3Objects table in YugabyteDB. The assistant then implemented a real-time cluster monitoring system: a new ClusterMetrics collector tracks throughput, latency, error rates, active requests, and I/O bytes with a rolling 10-minute window, while the ClusterTopology RPC was upgraded to parse FGW_BACKEND_NODES and perform health checks. JSON tags were added to all monitoring structs for camelCase serialization. The frontend was enhanced to visually distinguish S3 frontend proxies (blue) from Kuri storage nodes (green), and new IOThroughputChart and latency components were added. A user request to rename SLA to SLO (with a 350ms threshold) was applied, and the test cluster was verified to display live metrics for both storage nodes and proxies. All changes were committed to the Docker/React build pipeline.
From Debugging to Observability: Building a Self-Revealing Distributed S3 Cluster