But you should still be aware of the trade-offs

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This case you can use options similar to those discussed above for connection pooling. and are two options that are more plug and play in nature. With more effort some drivers are exploited to connect to the database from the application through a proxy. One problem that can arise with this approach is that your function and database should be as close as possible. This somewhat defeats the purpose of edge functions but other implementations provide a way to specify regions for deployments. At some point you may find that copying data across regions may be a prudent decision as your application becomes more popular. Moving to a Global Data Store At least one global data store .

Is critical for good perfor photo editing servies mance in situations where data is accessed globally. Fortunately there are already many good solutions and more are being developed. Medium cloud providers can choose from their products such as global tables and global databases, but there are also some database-specific companies that offer multi-region capabilities. A large database is Decomposed into multiple smaller databases that communicate with each other. Companies like Microsoft and Microsoft are great options for taking data and replicating it to multiple.



Regions to improve performance. because the data ultimately needs to be consistent or replicated across all regions. This can be handled asynchronously which may result in stale data in some areas or synchronously where read operations will be lightning fast but write operations may still experience increased latency. After exhausting all previous options your team will need to gain a deeper understanding of your needs and understand where data is needed. Considering edge-first options may require moving data to different data stores based on where it is used rather than copying all data globally. For configuration data related to .