I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books.
So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction.
Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore.
So, you can put your usual input parameters, like needed RPS and disk size as input, and find out which instance will be the most cost-efficient for your needs.
You can read about the methodology here: https://postgres.saneengineer.com/about
I've tested one workload – mixed 90/10 read/write, and only selected configurations. But it is extensible, and I (and you – benchmark is open source: https://github.com/anivaniuk/sanebench) can run more configurations to have more data represented.
Does it look interesting? What workload should I benchmark next?