fasthttp VS m3o

Someone made a benchmark of serialization libraries in go [1], and I was surprised to see gobs is one of the slowest ones, specially for decoding. I suspect part of the reason is that the API doesn't not allow reusing decoders [2]. From my explorations it seems like both JSON [3], message-pack [4] and CBOR [5] are better alternatives.

By the way, in Go there are a like a million JSON encoders because a lot of things in the std library are not really coded for maximum performance but more for easy of usage, it seems. Perhaps this is the right balance for certain things (ex: the http library, see [6]).

There are also a bunch of libraries that allow you to modify a JSON file "in place", without having to fully deserialize into structs (ex: GJSON/SJSON [7] [8]). This sounds very convenient and more efficient that fully de/serializing if we just need to change the data a little.

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1: https://github.com/alecthomas/go_serialization_benchmarks

2: https://github.com/golang/go/issues/29766#issuecomment-45492...

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3: https://github.com/goccy/go-json

4: https://github.com/vmihailenco/msgpack

5: https://github.com/fxamacker/cbor

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6: https://github.com/valyala/fasthttp#faq

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7: https://github.com/tidwall/gjson

8: https://github.com/tidwall/sjson

Fasthttp is one of the most powerful webservers written in Go, I'm working on a project that makes it possible to use it as a webserver for Python.

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

The best example I can give you is https://github.com/nutsdb/nutsdb it’s great project that got me started, one thing one should know is Go is different “yep” so there’re some coding habits that may bite you in Go and the Go compiler won’t correct you, you wanna learn about optimizations, unsafe usage check out https://github.com/valyala/fasthttp (note this is deep the rabbit hole), wanna learn concurrency check out ants https://github.com/panjf2000/ants with a little aid from “Go by example” you’re good to go

As I said in another comment, I think net/http is a good cautionary tale here. It was designed to be easy to use, and then grew organically, but performance never seems to have been a goal. fasthttp solves this, but bifurcates the ecosystem and passes on those costs to everyone who uses it. If net/http had been designed with performance in mind, this could have been avoided. net/http can't be removed or optimized, so this is a situation the Go ecosystem is effectively stuck with forever. At best, a faster version may end up in the std lib, just like netip is more modern and faster than net but the ecosystem is still bifurcated and adoption of the new package has been slow.

Fiber, while has a lot of batteries included and decent for many use cases, is known for having corner cases (because of internals like fasthttp) like https://github.com/valyala/fasthttp/issues/622

Sorry what I meant is I've been working on the open source Micro project for 8 years which underpins this. The chat app itself was not really something I meant as being open source but yes it's in a separate repo with the API hosting product I built called M3O.com.

https://github.com/m3o/m3o

Email: [email protected]

Spent the last 10 years mostly working with microservices and Go based startups, although I would not recommend microservices to most companies. I can save you a few million dollars if you wonder why.

I'm most passionate about improving DevEx in companies. Things like writing custom ORMs for lesser known/supported databases (see eg. https://github.com/gocassa/gocassa). Mostly worked with startups from $2M-$500M funding range, with the occasional enterprise gig.

Used to run a chicken shop as a hobby project which made me careful of accepting management positions, haha, people are hard. I would love to be a product owner, I mostly designed the https://m3o.com/ product with the CEO recently and implemented the MVP of it. It's open source stuff, check it out https://github.com/m3o

Currently working for a US startup but my contract is ending soon.

Cheers!

It's like API indexing, I like it. I started M3O (https://m3o.com) with this idea of API aggregation for absolutely everything but not specifically indexing, more so providing a uniform access layer to all things with one API token. The programmability of Nango will definitely a be a selling point. For the founders, focus on that, double down on that. The ability to program the APIs and the data retrieved is really key.

What if any is the relationship between https://m3o.com/ and https://micro.dev/ ?

Nocode poses a really interesting movement towards rapid prototyping end user facing apps but I think when it comes to functionality, there's always some need to drop into the escape hatch to make that API call or manipulate some javascript. I've been noticing more people using https://m3o.com for that especially with things like Adalo. There's 70+ APIs that can be used with one API token. Super useful. Also on the lookout for other API providers who make it easier to embed those apis.

We can potentially do this on https://m3o.com. It doesn't exist yet but would make sense as the next service we offer. Further details would be useful e.g endpoints required.