seon
26061a474b
external-* 모델 참고 측정용. ai-agent 는 EXTERNAL_ADDR=:8090 리스너를 켜되 호스트의 127.0.0.1:8090 에만 매핑해 IAP SSH 터널로만 닿게 한다(응답이 곧 진단이므로 VPC 노출 금지). ai.env 에 진단·턴 대기 시간(1500/1200초)을 명시. 하네스는 external- 모델의 /diagnose 를 26분 기다린다. VM 반영(make ai-sync / harness-sync)은 진행 중인 m1·Fable 배치가 끝난 뒤.
vm/harness
Harness VM (10.20.0.11) of the self-healing lab: experiment design 5 (runner, measure DB, blackbox, k6) plus Alloy.
| file | purpose |
|---|---|
apply.sh |
boot / make vm-sync entry: secrets from Secret Manager to /opt/selfheal/harness/secrets, env file, compose up |
compose.yaml |
runner (8080), measure-db, blackbox (9115), alloy (12345), k6 (profile campaign) |
image.tag |
runner image tag (selfheal-public/harness:<sha> built from selfheal-lab-apps/harness) |
scenarios/*.yaml |
the 12 scenarios of design 7, loaded by the runner at start |
config.alloy |
blackbox + runner scrape -> Mimir remote_write |
blackbox.yaml |
http_2xx (ALB /api/orders, label target=alb) and tcp_connect (target=db-primary) |
k6/load.js |
background load 20 rps (design 5.5) |
Runner API (design 5.2):
| endpoint | use |
|---|---|
GET /selfcheck |
measure DB, k8s (chaos-mesh pods), AWS OIDC caller identity, GCP instances, Mimir probe, ALB |
POST /runs {"campaign","scenario_ids":[...],"baseline_s","cooldown_s","observe_timeout_s","min_observe_s","drift_before"} |
start a run (one at a time) |
GET /runs, GET /runs/{id}, POST /runs/{id}/abort, POST /runs/{id}/finish {"drift_after"} |
inspect / stop / close |
POST /hooks/alert |
Grafana contact point |
POST /proposals |
AI VM registers a layer-2 proposal; returns the approval token |
POST /actions/execute {"action_id","target","token"} |
catalogue action with a human token or an approved proposal token |
GET /actions/catalog, GET /scenarios, GET /metrics |
reference |
Campaign load: docker compose --env-file /opt/selfheal/harness.env --profile campaign up -d k6 (stop: ... stop k6; exit code and /logs/summary.json in the k6-logs volume).