ompanies such as Microsoft and Microsoft

Mitu300

Cases you will still see improvements in latency but most of the latency will be shifted from the connection between the client and the business logic to the connection between the business logic and the data store. In the worst case scenario you may have business logic in different areas trying to access your database making the latency problem worse The graph shows that the server takes a long time to communicate with the remote database. The diagram shows the server communicating quickly with nearby databases.


Placing the database closer to the se photo editing servies rver can sig  nificantly improve load times. This is further complicated by limitations within the edge functions themselves. Since the goal of edge computing is to distribute large amounts of computing globally there are some trade-offs to ensure performance. In most cases the consideration comes down to the fact that the code must run in a true isolation environment. Code must adhere to tighter resource limits. The code may not have access to the full set of eg. The code might not open .



Stateful connections or might only open a certain number of connections. Edge Computing Solutions Fortunately the edge computing ecosystem is rapidly develop. C have edge solutions that in turn have multiple application solutions powered by data storage. Unlike the serverless solutions above these solutions can be quite complex and highly dependent on your specific implementation. Be sure to carefully evaluate each option to meet your needs. The proxy connection via is not ideal but adding an extra proxy layer between the business logic and the database can help preserve the existing infrastructure while making as few changes as possible In.