Generate a production-ready docker-compose.yml for a multi-service infrastructure stack — messaging (Kafka/ZooKeeper, RabbitMQ, NATS), object storage (MinIO), search (Elasticsearch/OpenSearch), databa
Project description
gosce-rabbitmq-elasticsearch-postgres-stack-generator-elasticsearch-elasticsearch
Generate a production-ready docker-compose.yml for a multi-service infrastructure stack — messaging (Kafka/ZooKeeper, RabbitMQ, NATS), object storage (MinIO), search (Elasticsearch/OpenSearch), databases, caches, web servers and auth (Keycloak/Vault). Every service is health-checked, on a private bridge network, with named volumes and a matching .env.example. Kafka auto-wires its required ZooKeeper.
Thin client for the RabbitMQ + Elasticsearch + Postgres Stack Generator (Elasticsearch/Elasticsearch) remote agent on getvda.ai — speaks open MCP (streamable-http) and A2A. Discovery is free; execution is metered via Nevermined x402.
import gosce_rabbitmq_elasticsearch_postgres_stack_generator_elasticsearch_elasticsearch
print(gosce_rabbitmq_elasticsearch_postgres_stack_generator_elasticsearch_elasticsearch.MCP_ENDPOINT) # https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp
- MCP:
https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp - A2A:
https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/a2a - Home: https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai
- Portfolio: https://agents.getvda.ai/agents
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