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• AWS RDS connection count

  - by wmarbut

  I am using AWS RDS with MySQL for a project and have a "large" instance. The documentation is clear on what this means as far as compute resources and RAM goes, but I can't find anything that documents how many open database connections that I can have. The app that I am using is PHP and it utilizes PDO with persistent connections. This means that the number of open connections could reach the maximum number of PHP child processes running at any given point. How do I ensure that my RDS instance has a max connections setting high enough to be comfortable with this?

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• Rails/Mongo across multiple different geo-regions

  - by wmarbut

  I have a system that by necessity requires physical presence in three or more different locations and I need advice on structuring in such a way that my database stays replicated in a timely manner without horrible latency. I've seen mysql access and replication be incredibly slow when the application server was trying to talk to a node that wasn't physically collocated. In this case I am using mongodb. The stack is linux/passenger/ruby/rails/mongodb. The database is write heavy and read light. The infrastructure is Amazon EC2 The application layer must be physically located in 3 or more different locations. I can't justify this requirement further than it is a requirement. The database, however needn't be located in more than one location if it can be written to quickly from other locations. From reading mongo's documentation, mongo replication seems like more of a candidate than sharding b/c my datastore is not huge. However I don't see anything that addresses the issue of speed for servers communicating across large distances with potentially high latency.

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