Chunk 0.1

In this chunk, the assistant implemented a comprehensive cluster monitoring UI for the horizontally scalable S3 architecture. This involved adding backend RPC methods (ClusterTopology, RequestThroughput, LatencyDistribution, ErrorRates, ActiveRequests, ClusterEvents) with stub implementations, and creating a full set of React components including a topology diagram, performance charts (throughput, latency percentiles, error rates), node statistics tables, and a data flow overview. The UI was integrated into the existing RIBSWeb application with navigation and real-time data polling via WebSocket RPC at varying frequencies (100ms to 5s). The second major effort was building a test cluster infrastructure. The assistant created a Docker Compose configuration with 2 Kuri storage nodes, a shared YugabyteDB instance, and a suite of shell scripts (start.sh, stop.sh, init-data.sh, logs.sh, test.sh) parameterized with a data directory argument. Throughout implementation, the assistant had to correct several assumptions about the Kuri daemon's command-line interface – flags like `--s3-api` and `--webui` didn't exist (ports are controlled via environment variables like `RIBS_S3API_BINDADDR` and the web UI starts automatically on 9010). A critical fix added a `db-init` service to create the required PostgreSQL database and CQL keyspace before Kuri nodes attempt to connect, resolving the "database does not exist" startup failure.

From Dashboard to Cluster: The Two Faces of Building a Distributed S3 System 2831 words

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