ops-lite / README.md
anon-ops's picture
Update repo card wording
55adb8a verified
---
license: apache-2.0
pretty_name: "ops-lite: Curated RCA Evaluation Set for Microservice Systems"
size_categories:
- n<1K
task_categories:
- graph-ml
- tabular-classification
- other
task_ids:
- multi-class-classification
language:
- en
tags:
- root-cause-analysis
- rca
- microservices
- observability
- aiops
- chaos-engineering
- causal-graph
- benchmark
annotations_creators:
- machine-generated
language_creators:
- machine-generated
source_datasets:
- original
configs:
- config_name: default
data_files:
- split: test
path: "manifest.jsonl"
---
# 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 confirms each
case is observable end-to-end before it enters the candidate pool.
2. **Annotation** — for every observable case, a manifest-driven causal
graph reasoner (rcabench-platform v3 `internal/reasoning`)
enumerates the fault propagation layer-by-layer from the registered
fault manifest, producing the `causal_graph.json` ground truth.
3. **Curation** — a 1464-case raw pool is reduced to 500 via a greedy
selector with hard filters (cyclic graphs, lp ≤ 1, frontend-only
injections) and soft caps on system / chaos-family / root-service.
This repo card summarizes the released artifact itself. The full
generation and selection pipeline will be documented in the associated
paper / artifact release.
## Data layout
```
ops-lite/
├── manifest.jsonl # 500 lines, one JSON record per case
├── README.md
├── croissant.json # core Croissant + RAI fields
└── cases/
└── <case-name>/
├── injection.json
├── causal_graph.json
├── env.json
├── result.json
├── label.txt
└── *.parquet # abnormal_* + normal_*
```
`manifest.jsonl` schema:
```json
{
"name": "ts0-ts-order-service-exception-l2bqm5",
"system": "ts|hs|otel-demo",
"longest_path": 7,
"n_svc": 13,
"n_edge": 21,
"n_alarm_svc": 2,
"root_services": ["ts-order-service"],
"chaos_family": "JVM*|HTTP*|Network*|Pod*|*Stress|DNS|Time|hybrid_clean|hybrid_kill",
"primary_kind": "<chaos_type or 'hybrid'>",
"subtypes": ["..."],
"hybrid": false,
"has_kill_leg": false
}
```
## Composition
| metric | value |
|---|---:|
| total cases | 500 |
| mean `longest_path` | 3.18 |
| mean `n_edge` | 4.06 |
| mean `n_svc` | 3.97 |
| chaos families | 8 |
| systems | 3 |
## License
Apache-2.0. The underlying microservice testbeds (Train-Ticket,
Hotel Reservation / DeathStarBench, OpenTelemetry Demo) retain their own
upstream licenses.
## Citation
A formal citation will be added on publication.