Thanks for the great content again! Question: In your final diagram, the middle flow (new connection service) shows two layers of Kafka (a stateless consumer in between). Why do we need both layers? Can't the "new connection service(s)" directly push to the corresponding Kafka shard and avoid having the Kafka layer and the stateless consumer?
When adding mutual connections from the Flink nodes. How is it known that the new mutual connections are not already direct connections? e.g. For 10: 3, 4, 15 you are creating 3,15 and 4,15. What if 3,15 and/or 4,15 are direct connections? These connections could also be on a different Flink node/partition.
I have a question on brokers and message queue. Do i setup the broker on a server and then set the consumers on other servers? Lets say i have a mail server and i need to classify the emails and send them after classification to there right system. Where do i host the broker and the Ai classification model?
hey, i have some questions if anyone can please help me :) 1) when jordan says shard the database by userID, it means shard it by the hash of the userID (for consistent hashing)? 2) sometimes i see the term partitioned by instead of sharded by, are those the same?
@@jordanhasnolife5163 thank you so much for taking the time to answer :) also, can't thank you enough for all the knowledge i gained since finding your channel
Thanks for making this video Jordan. I have two questions: a) You mention "Mutual Cache table", but it appears you are using SQL db for that. Does not cache mean keeping in memory? b) It is mentioned that we need very fast reads ("fast as humanly possible"), should it not engender use of mongodb or something liek that instead of SQL db?
Hi Jordan, loving this video. A couple of quick questions: 1. For the adding a connection workflow, is it supposed to be real-time processing or batch? 2. Let's say B accepted A's invite to connect and A wants to view the change right after it, how can we ensure that? 3. Does it make sense if we put the mutual connection data in memory cache servers and have a graph db to store the raw connections so that we can rebuild the cache if any node fails? Any idea or discussion is appreciated. Thanks!
