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I guess our use cases are just different. Mind sharing some examples of your use case that demands that much compute power?

I do run a database on my server (which isn't even a Large) for an e-commerce site. It fits handily in half a gig of ram. The hundreds of products we offer have associated images, but we just store the filenames in the database and they load from disk (or, more likely, Cloudflare cache). Honestly, it could be a static site but the database is a convenient way to edit the content and control the presentation.

You have 640 CPUs running at multiple gigahertz and trillions of bytes of RAM. What kind of workload requires that insane amount of compute power?




We have billions of rows of data and very complicated CTEs doing joins on a dozen tables matching based on GEOS radius data, and it's the primary query for our application. We're running PostgreSQL 9.5 and need to have all the data in memory for the fastest results.

Part of the problem is that the network disk that EC2 provides as EBS is 100x slower than local disk, so keeping all the indexes and data in memory is the only way to replicate physical hardware performance.

If anyone knows of a better EC2 setup for PostgreSQL, I'm all ears.


> Part of the problem is that the network disk that EC2 provides as EBS is 100x slower than local disk, so keeping all the indexes and data in memory is the only way to replicate physical hardware performance.

> If anyone knows of a better EC2 setup for PostgreSQL, I'm all ears.

Have a proper replication & archiving setup, and use instance storage. If you have configured streaming replication to 1-2 other servers, and archive your WAL to s3 (using wal-e or such), you're already above EBS's guarantees (99.9% durability IIRC?).


Instance storage is much more limited and is heavily tied to the specific instance types you pick.


Indeed. I didn't want to say it's a panacea, just that you can sometimes get a lot better performance for your money. E.g. larger i3's both have decent IO performance and sizes.

Still doesn't even remotely compete with what you can get with "normal" hardware.




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