This small box of pandora (aka small app basis) composed from the following technologies:

• Dgraph as data store with GraphQL support, write operations using REST
• Minio as Amazon S3 compatible storage
• Stow allows using cloud storage provides like Amazon, Google, Azure
• ElasticSearch as search engine. Dgraph data can be automatically replicated in ElasticSeach index
• Kibana to explore ElasticSearch data
• NATS as messaging system with streaming of push notifications (events) via SSE channel
• Celery - distributed task queue
• RabbitMQ - fast message broker for celery tasks
• Redis - result backend for celery tasks and cache service
• Apache Tika - powerful content analysis toolkit
• try FluentD - for centralized logging, not implemented yet :)

Programming languages currently used in the project:

• Go
• Python
• Kotlin

I'd like to have simple, flexible, dynamic, declarative, reactive, realtime information system :)

docker-compose up runs the following services:

1. zero - Dgraph cluster manager
2. dgraph - Dgraph data manager hosts predicates & indexes
3. ratel - serves the UI to run queries, mutations & altering schema
4. nats - plays as message bus
5. pubsub - event streaming service based on SSE protocol
6. minio - Amazon S3 compatible file store
7. imageproxy - service with image manipulation ops like resizing
8. elasticsearch - search and analitycs engine
9. kibana - Elasticsearch dashboard
10. app - application API service
11. caddy - web server as service gateway