7de4f5d73a
- config/airflow/airflow.cfg (fernet/API keys redacted) + live DAG sync - config/kafka/kraft-server.properties (live KRaft broker on kafka01) - Extend collect-fleet-config.sh for airflow/kafka collection - Add docs/recommendations.md with prioritized next steps
1.9 KiB
1.9 KiB
Docker inventory
Containers per host (reference). Regenerate with ./scripts/collect/collect-fleet-config.sh.
atc-docker01 (10.0.21.45)
| Container | Image | Ports |
|---|---|---|
| homepage | gethomepage/homepage | 80→3000 |
| rss-proxy | rss-proxy:latest | 8090 |
| icons-server | nginx:alpine | 8080→80 |
| superset | superset-superset | 8088 |
| superset_redis | redis:7 | 6379 |
| forgejo | forgejo:14 | 4002, 222 |
| lam-app-1 | ldapaccountmanager/lam | 4001 |
Compose: compose/, deploy/docker-compose.homepage.yml
atc-db02 (10.0.21.51)
| Container | Image | Ports |
|---|---|---|
| postgres_sales | postgres:15 | 5432 |
| mysql_hr | mysql:8.0 | 3306 |
| mongodb_supplychain | mongo:4.4 | 27017 |
| cassandra_telemetry | cassandra:4.1 | 9042 |
| neo4j_graph | neo4j:4.4 | 7474, 7687 |
| mongo_express | mongo-express | 8081 |
Compose: config/docker/atc-db02/docker-compose.yml
atc-lake01 (10.0.21.50)
| Container | Image | Ports |
|---|---|---|
| kafka-connect | debezium/connect:2.5.4 | 8083 |
| spark-master | bitnami/spark | 7077, 8080 |
| spark-worker | bitnami/spark | (internal) |
| trino | trinodb/trino:405 | 8089→8080 |
| spark-temp | apache/spark:3.4.0 | — |
Compose: config/docker/atc-lake01/docker-compose.yml
atc-kafka01 (10.0.21.36)
| Container | Image | Ports |
|---|---|---|
| kafka-ui | provectuslabs/kafka-ui | 9000→8080 |
Kafka broker: KRaft native on :9092 — config: config/kafka/kraft-server.properties.
atc-mgt01 (10.0.20.104)
| Container | Image | Ports |
|---|---|---|
| forgejo | forgejo:14 | 3001, 222 |
| npm-app-1 | nginx-proxy-manager | 80, 443, 81 |
atc-objectscale (10.0.20.111)
| Container | Image | Notes |
|---|---|---|
| ecs-storageos | emccorp/ecs-software | Dell ECS / ObjectScale |
Config: config/objectscale/deploy.yml