Personally, I'm a fan of event sourcing if you need zero downtime you probably need auditibility. You have one SQLite database that's an append only event log. You build projections from it into any number of SQLite databases. These databases pull from the log database and update themselves. They are completely expendable. So you never have to vacuum them or migrate them. You just build a new projection and then point to it. This is also how you can spread your sqlite over nodes (if that's your thing, with something like NATS).
There are other ways where you're just more disciplined with your schema and indexes. I.e jsonb, partial indexes and existence based programming (from data oriented design).
That's indeed a possible (and very resilient) solution. But that's a significant shift for many apps. I'm fan of event sourcing in theory, but I've always been afraid of it making things overly complex in practice, for relatively small apps. But I haven't tried hard enough to have a real opinion on this.
Oh for sure. That's why my default is if you don't need event sourcing and are ok with some down time a month if you need to add a really large index. Keep it simple.
Once you have a decent CQRS set up (which is a natural fit with SQLite) and event sourcing it can be quite easy to spin up on a new project.
I think people don't have an honest assesment of what their project requirements are in terms of uptime and scale. So they start with crazy microservice multinode architectures that are designed to scale to the moon and inevitably end up with more downtime due to complexity.
I'd still recommend people start with managed PG for most things. But, if you're comfortable using VPSs or bare metal servers SQLite can take you very far.
I fully agree that most projects would work perfectly fine with a monolith and PostgreSQL. And yet they go with microservices, Redis, RabbitMQ, etc, making the system more complex and less available.
SQLite would be perfect if it would allow multiple concurrent writers, which would allow running database migrations without downtime. I’m looking forward to Turso for this.
There are other ways where you're just more disciplined with your schema and indexes. I.e jsonb, partial indexes and existence based programming (from data oriented design).
Edit: In the time it took me to write this cloudflare is down again https://news.ycombinator.com/item?id=46158200