prawn-stack VS logpaste

I wanted incremental refresh in Postgres as well and found that you can manage your own table to get something close.

Basically you create a regular table in place of a materialised one, only aggregate data newer than what's currently in the table then store the new aggregates in table. Repeat this an interval.

https://github.com/cadbox1/prawn-stack/blob/master/src/backe...

I use this to show page view data aggregated by hour without calculating it on each request using Lambda

https://prawn.cadell.dev/

I don't have the startup part yet but here's my one-person stack with Postgres, Node and React deployed on AWS with CDK using RDS, Lambda, S3 and Cloudfront. It's 100% in the free tier.

https://github.com/cadbox1/prawn-stack

FWIW, I've used Litestream on Google Cloud Run and never run into issues, but I haven't pushed it much:

https://github.com/mtlynch/logpaste/blob/master/docs/deploym...

Currently, no. I've implemented that functionality recently in my other tool, LogPaste, so it shouldn't be too hard to reproduce here.

My tool is called LogPaste. It allows users to generate shareable URLs for text files. I use it in my open-source KVM over IP device so that users can easily share diagnostic logs with me.

I designed it with self-hosting in mind, so there are instructions for hosting it under Docker, as well as with several free cloud hosting providers. You can even host the data storage part yourself if you use a solution like Minio.

I still use GCP, but I avoid locking myself into their proprietary infrastructure when I'm writing new stuff. I feel like Google is far too cavalier about deprecating services and forcing their customers to do migration work.

It is hard to replace GCP's managed datastores because I really don't want to maintain my own database server (even if it's a managed service that someone else upgrades for me). So I've stuck to Google Cloud Datastore / Firestore, but I've been experimenting a lot with Litestream[0], and I think that might be my go-to choice in the future instead of proprietary managed datastores.

Litestream continuously streams data from a SQLite database to an S3 backend. It means that you can design your app to use SQLite and then sync the database to any S3 provider. I designed a simple pastebin clone on top of Litestream, and I use it in production for my open source KVM over IP. It's worked great so far, though I'm admittedly putting a pretty gentle workload on it (a handful of requests per day).

[0] https://litestream.io/

[1] https://github.com/mtlynch/logpaste