Minute-level telemetry tables for the Online Boutique microservices benchmark (11 services), collected under fixed replica counts (no autoscaling) while replaying two real-world web traffic shapes: ClarkNet-HTTP workload replay NASA-HTTP workload replay Under varying injected load, we record how service-level metrics change over time and how inter-service calls evolve, derived from Prometheus (Istio/service metrics) and Jaeger traces, and exported as ready-to-use CSV tables. Files (per run) service_minute_features.csv — per-service minute features (RPS, latency, error/timeout rates, CPU/memory, replica state, dependency aggregates) service_call_edge_minute.csv — per-minute caller→callee edges (call_count, latency, errors) service_metadata.csv, run_metadata.csv — service list and run/scenario metadata Granularity: 1-minute UTC buckets. Intended uses Workload/demand forecasting under changing traffic Service performance & reliability analysis (latency/error vs load) Dependency / call-graph dynamics analysis Cross-workload comparison (ClarkNet vs NASA) with the same schema