faunadb-js VS fresh

Fauna is another serverless database created by ex-Twitter engineers. It's kind of like MongoDB, but with native JOIN operations, many document databases miss. They have their own language, FQL, and also a GraphQL API. Here's a quick overview of their free tier:

Fauna[0] which if I recall correctly, also upends Cap Theorum. They implemented Calvin[1] which differs from Spanner

[0]: https://fauna.com/

[1]: https://fauna.com/blog/distributed-consistency-at-scale-span...

NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and Cassandra.

To create a Faunadb account you need to head over to the Fauna website. Click on Start for free then select Github as your auth provider, and authorize Faunadb from GitHub. If everything went well, your account should successfully be created for you and you should be redirected to your Faunadb dashboard.

I am using Fauna

Fauna

If you are exploring Amazon DynamoDB alternatives that are NoSQL and have better-querying capabilities, there are a few to choose from, but the one I will be covering here is Fauna. Fauna combines the querying capabilities of relational databases (SQL databases) with the flexibility of NoSQL databases.

Fauna – A serverless database with built in global replication and strong consistency.

Some of the largest websites, driven by the requirements of serving billions of users, have led to the maturation of new database architecture alternatives, which motivate modernizing applications to leverage cloud-native, serverless, highly-distributed database options. Fauna strengthens relational data consistency among these newer alternatives while leveraging a cloud-native, serverless, flexible document model that abstracts most operational complexities from application developers.

Multi-model: FaunaDB, MongoDB, Redis among others.

Deno: Deno with one of it's frameworks (like Fresh

The road to Fresh 2.0 (https://github.com/denoland/fresh/issues/2363) by Marvin Hagemeister Can't wait for seeing the end of the road! All in all great changes ahead.

Because I have secret magical powers that you probably don't, it's basically free for me. Here's the breakdown though:

The application server uses Deno and Fresh (https://fresh.deno.dev) and requires a shared-1x CPU at 512 MB of ram. That's $3.19 per month as-is. It also uses 2GB of disk volume, which would cost $0.30 per month.

As far as post generation goes: when I first set it up it used GPT-3.5 Turbo to generate prose. That cost me rounding error per month (maybe like $0.05?). At some point I upgraded it to GPT-4 Turbo for free-because-I-got-OpenAI-credits-on-the-drama-day reasons. The prose level increase wasn't significant.

With the GPU it has now, a cold load of the model and prose generation run takes about 1.5 minutes. If I didn't have reasons to keep that machine pinned to a GPU (involving other ridiculous ventures), it would probably cost about 5 minutes per day (increased the time to make the math easier) of GPU time with a 40 GB volume (I now use Nous Hermes Mixtral at Q5_K_M precision, so about 32 GB of weights), so something like $6 per month for the volume and 2.5 hours of GPU time, or about $6.25 per month on an L40s.

In total it's probably something like $15.75 per month. That's a fair bit on paper, but I have certain arrangements that make it significantly less cheap for me. I could re-architect Arsène to not have to be online 24/7, but it's frankly not worth it when the big cost is the GPU time and weights volume. I don't know of a way to make that better without sacrificing model quality more than I have to.

For a shitpost though, I think it'd totally worth it to pay that much. It's kinda hilarious and I feel like it makes for a decent display of how bad things could get if we go full "AI replaces writers" like some people seem to want for some reason I can't even begin to understand.

I still think it's funny that I have to explicitly tell people to not take financial advice from it, because if I didn't then they will.

Deno has also created a Next.js competitor, Fresh. I found it a few weeks ago and am starting to go through the docs, looks like a good overall concept. https://fresh.deno.dev/

https://fresh.deno.dev/ - Fresh embraces the tried and true design of server side rendering and progressive enhancement on the client side.

Along the way, I not only got the oppurtunity to revise old concepts that had blurred in my memory, but also learnt about new technologies like Fresh.js, a framework from Deno (a js runtime engine) that uses Preact, a React Routing library and used Chakra UI for the first time.

A whole project might be released as a server or framework. Frameworks like fresh, and astro) both have had things deep within them that I've wanted to reuse, within fresh it's the esbuild configuration, and islands functionality, and within astro it's the rendering of astro files themselves.

The Fresh framework by Deno cited an improved developer experience due to tighter feedback loops.