I'd be very curious to see you add the Optimized Reads instance types, e.g. r8gd or m8gd, to your benchmark. They add a local NVMe-based SSD block storage that serves as a cache in front of the network-based disks among other use cases. They have been a huge win for us for a read-heavy workload where the dataset is significantly larger than memory.
Edit: Apologies, on a closer read, I realize you were not testing RDS but managing Postgres on EC2 directly.
Would be interesting to see huge pages and io2 impact.
I did a smaller version on Azure and disk latency had a massive impact much more so than max IOPs (although their crappy storage offering needed like 64-128 iodepth to get advertised iops).
Results seem mostly in line with expectations. Iirc vcpu is threads so on arm64 you get 4 smt1 cores vs Intel/AMD you get 2 smt2 cores.
Good point! I kept the configuration of the Postgres pretty close to the defaults, and it would be interesting to compare it with the same default Aurora Postgres.
And it should be easy to add - I'll check it, thanks!
Yes! This was my initial dilemma - whether to test RDS or self-hosted Postgres on EC2. I decided to start with EC2 to be a bit more "pure", and remove cost overhead of RDS.
But support for RDS is my next candidate for development. Plus, comparison would also be interesting.
Edit: Apologies, on a closer read, I realize you were not testing RDS but managing Postgres on EC2 directly.
I did a smaller version on Azure and disk latency had a massive impact much more so than max IOPs (although their crappy storage offering needed like 64-128 iodepth to get advertised iops).
Results seem mostly in line with expectations. Iirc vcpu is threads so on arm64 you get 4 smt1 cores vs Intel/AMD you get 2 smt2 cores.
It would also be interesting to have cross-provider comparison. I think it's doable. Thanks!
And it should be easy to add - I'll check it, thanks!
But support for RDS is my next candidate for development. Plus, comparison would also be interesting.