ops lite A curated 500 case root cause analysis (RCA) evaluation set for microservice systems, with manifest driven causal graph ground truth. Each case bundles: a chaos injection ground truth ( injection.json ) a causal service graph derived from the injection's fault contract ( causal graph.json ) the runtime environment snapshot ( env.json , result.json , label.txt ) 12 parquet metric tables per case, split into the abnormal window (during fault) and the normal window (baseline) The corpus spans three open source microservice testbeds: system n description : ts (Train Ticket) 320 Java/Spring Cloud microservice system, 44 application services hs (Hotel Reservation / DeathStarBench) 142 Go/gRPC microservice system, 9 application services otel demo 38 OpenTelemetry Demo e commerce app, 15 polyglot application services Intended use Benchmarking RCA algorithms on microservice fault propagation. Each case provides the ground truth root cause service(s) and a manifest derived causal graph against which an algorithm's predicted ranking or path can be scored. Pipeline 1. Generation — chaos faults are injected and observed by AegisLab, an open source RCA benchmarking platform. A detector…
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