Going through them briefly: this is not a distributed system and it has a very hard limit on scalability or availability. You can deploy a “SpacetimeDB cluster”, meaning a primary instance and several followers with eventually consistent replication (emphasis on eventually consistent; the WAL is eventually consistent, the replication is too, there’s a lot of margin for things to go wrong here), but your whole system is bottlenecked by the CPU and RAM capacity of the machine where your main SpacetimeDB instance is deployed. You need enough CPU for your database to execute all the queries, but also for your whole application to execute all its application logic, as again the application lives inside the database. You need enough RAM to fit all your database’s data in-memory. SpacetimeDB is not disk-backed at all; it just flushes a WAL to disk (and periodically, snapshots that make recovering from the WAL quicker on restarts). If your dataset grows larger than RAM, your database (and your application, which are the same thing) will fail over. The only option for scalability here is vertical: buying a bigger machine to run your database.
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But he argued that most knowledge workers are not in that bucket. Work isn’t “just one thing” for this breed of white-collar worker. “It’s about building relationships. It’s about building business. It’s about taking judgments on what work I do … Not all of that just fits nicely into an automated solution.”。关于这个话题，传奇私服新开网｜热血传奇SF发布站｜传奇私服网站提供了深入分析
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