[Gepsens]

I have a a server engine that runs a lot of small (and potentially unique) tasks (say 0.2% of 1vCPU and 30Mb of RAM), but require durable disk (rocksdb, sqlite for instance + some random files) and I want to locate them in specific regions depending on the server they are targeting. Would Cloudflare workers be good enough for that or shall I stick to DO's cheap vms ?

[kodablah]

Native edge computing (i.e. containers or VMs at the edge) are probably more suitable than workers for such a task. Granted workers do have persistence options (e.g. KV store) but you'll have to target your existing app towards them.

Disclaimer: I work at StackPath which offers containers and VMs at the edge with anycast IPs which is perfect for this use case.

[kentonv]

Probably!

But, it's a little hard to answer the question based on your description, because you've described your setup in traditional server terms that don't translate directly to how Workers does things. Workers doesn't have tasks running in VMs or containers, it's a serverless distributed systems platform where code runs in response to events across a wide network.

So, in order to tell you how to build your application on Workers, I'd need to know what the application actually does.

Most likely, though, you would replace your rocksdb/sqlite storage with Durable Objects storage. You could locate different Durable Objects in specific regions as desired.

[DenseComet]

Workers doesn't really do regions. The code runs in whatever datacenter is closest to the user. It also doesn't have the concept of durable disk. You can use KV, with its trade-off of eventual consistency, or use something like FaunaDB or Firebase, but that means that the request has to wait for the request to the backing service. Its also not super great for long running tasks. The possibility is there with Workers unbound, but I found the pricing structure for it to be a bit opaque.