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Game: https://wonderland-007.web.app\n\n### Scenario:\nAfter login, there will be plenty of activity (atm only dancing) to choose from.\nChoosing an activity means you are looking for a partner around yourself to carry the activity on together.\nOnce two people have shown mutual interest toward each other, there are each other's match and can chat.\n\nAlso, each user has a profile containing a name plus a photo.\nThe name is the user's gmail and photo can be selected in the profile edit page.\n\n## A Highly scalable geospatial matchmaking system\nimplemented using Stream processing and reactive system ideas\n\n### Stack:\n * Java\n * Spring family\n * Kafka and KafkaStreams\n * H2, Elasticsearch, Neo4j\n * Flutter\n * RSocket, AMQP, STOMP, HTTP\n * Firebase, GCP\n\n### Architecture\nThe architecture is event driven microservices and the applied pattern is CQRS. \nA new concept somewhat similar to event sourcing is being experimented with here:  \n\n    Every user interaction that goes through api-gateway results in an event (if possible) instead of an HTTP call. \n    So in terms of CRUD, only R (reads) are potential HTTP requests going out of API-gateway to core services.\n    Anything else is an event like: dancer1HasLikedDancer2, ... . \n    This idea relies on the fact that Kafka topics can act as a durable, avaialbe, scalable, distrubted and ... database.\n\nToward outside:\n - There is AMQP based communication to RabbitMq and STOMP connection to the APP, as push solution for chatting\n - RSocket communication between API-gateway and the app.\n - HTTPs communication between API-gateway and the app.\n\n## ToDo:\n    * create chat-history kafka streams Map\u003cThisDancerName, Map\u003cChateeName, List\u003cMessage\u003e\u003e and back chatBoxWidget with it!\n    * publish logs into elastic search as application_log index\n    * rename wonder-matcher to dance-partner-finder or dance-partner-matcher .... names in the match making stack are not mature enough!\n    * refactor Consumed/Produced management in kafka stream applications. Use Kafka classes rather than yours. \n    * upgrade elastic search stack to 7 and higher\n    * add authorization/authentication checks (resource server in OAuath2 world) (and connect it to google) in API gateway \n \t* integrate nomad (use information from master thesis)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbmd007%2Fwonderland","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbmd007%2Fwonderland","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbmd007%2Fwonderland/lists"}