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kleopi
5y

Question directed to devs who know a bit about setting up middle sized architecture.

Prestory: Joined into development of a middle sized online game. Figured they created a monolith over the last 6 years up to a point where nothing works properly and nothing can be changed without wrecking the whole system. Figured a monolithic approach isn't such a great idea.

Current Situation: In a different, same scale online game development team, game itself working but team is struggling with architecture.
My job is to come up with an approach on how to set up masterserver/matchmaking/database etc. Reading through various articles about common principles (SOLID etc.), i figured that a microservice+event-/servicebus architecture may work for that kind of project.

The idea would be to have a global interface in which microservices can be hooked. So a client registers to a client handler on startup, then starts to queue for a game, the client handler throws an event on the bus to register the user to matchmaking. The matchmaker happens to listen to those events (Observer Pattern) and adds him to matchmaking, when a match is found it throws an event on the bus to connect the user to the server, etc. One can easily imagine a banhandler throwing in a veto to cancel such an action, metrics and logging is fairly simple to add (just another service listening to all events), additionally Continuous Delivery, FRP and such are also beneficial advantages and it is said to scale well.

The question is, would you do the same, is there maybe something i might be overlooking? Do you have better ideas?
Keep in mind that we are not too experienced and are bound to different languages (python, C++ and java mostly) and are a small (4 Devs) Team with different strengths.

Thank you for your feedback and criticism!

Comments
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    You need an event driven arch for sure. The processing of such events should be considerably lightweight to reduce the feels-like latency with as few dependencies among the various events as possible. TPS, SLAs, System thresholds before alarms are triggered are just some of the few factors that could help you measure your system

    How do you plan to scale by your data stores? What kind of SQL would fit your data model? You need to think about sharding, archiving, switching to cold storage for offline reporting services, reindexing your search cluster for possible future schema changes, data availability vs consistency, mass data migration and incremental migration (for correctional purposes)

    Plus security (which is often an after thought), system scalability (cloud vs on-premise), integrations with third-party systems or pluggability.

    Honestly, there are so many things to consider (or ignore) before you could begin to solutionize
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