gqlgen VS zap

GraphQL’s spec, as it turns out, does not specify how servers should handle internal errors at all, leaving it entirely to the choice of the frameworks’ creators. Take for example our GoLang GraphQL framework of choice - gqlgen. It makes no distinction between intentional and unexpected errors: all errors are returned as-is to the client within the error message. Internal errors, which often contain sensitive information like network details and internal URIs, would leak to clients easily if not caught manually by the programmer.

Better look into this one: https://github.com/99designs/gqlgen for GraphQL powered by Go. It's spec first approach and requires the least boilerplate code to write. It also incorporates seamlessly with Apollo Federation.

I left PHP for Go.

- with http://sqlc.dev I don't have to write ORM or model code anymore.

- with http://goa.design I can have well-documented API's that any team can generate a client for in any language. It also generates the HTTP JSON and gRPC servers for me so I can focus on my logic.

- with https://github.com/99designs/gqlgen I can define GraphQL revolvers that play well with sqlc (any RDBMS) or I can use a key-value store.

- speaking of key-value stores, Go allows them to be embedded! Even SQLite now has the https://litestream.io/ project to make it super simple to use a durable, always backed-up SQLite database even in a serverless context.

Go is faster, uses less memory, and has really-well designed stdlib without all the bugs I used to face trying to use the PHP stdlib.

Gqlgen if I need GraphQL

Some of these features are inspired by gqlgen so check it out if you need a Golang GraphQL server implementation.

If you want to use GraphQL: https://github.com/99designs/gqlgen

In addition to the ones you mentioned, I also always use: + sqlc - Compile SQL to type-safe code + gqlgen - generate GraphQL server from schema + oapi-codegen - Go client and server boilerplate from OpenAPI 3 specifications + pester - Go http calls with retries and backoff + backoff - exponential backoff algorithm in Go

I have no experience in Django but in Ent with GraphQL.

Ent is not a full-featured web framework so you need to implement many of features by your own or use other libraries (e.g. http server and session management).

If you are only looking for ORM + GraphQL then I highly recommend trying Entgql, an Ent extension for GraphQL with Gqlgen library [1]. Once you define an ORM schema, it will generate GraphQL Query for Relay server. Still you need to implement GraphQL Mutations by your own but at least it will create Input types for you (both for Create/Update).

[1]: https://github.com/99designs/gqlgen

gqlgen for GraphQL services. It's well documented and maintained.

For me sqlc work wonders. If you are developing a user facing api and are fine to go with graphql, with gqlgen you can even autobind (search the page for @goModel) the models that sqlc generates from your queries. A glorious match

The project currently uses slog package from standard library for logging. But switching to a more advanced logger like zap could offer more flexibility and features.

It's nice to have this in the standard library, but it doesn't solve any existing pain points around structured log metadata and contexts. We use zap [0] and store a zap logger on the request context which allows different parts of the request pipeline to log with things like tenantid, traceId, and correlationId automatically appended. But getting a logger off the context is annoying, leads to inconsistent logging practices, and creates a logger dependency throughout most of our Go code.

[0] https://github.com/uber-go/zap

Kubebuilder, like much of the k8s ecosystem, utilizes zap for logging. Out of the box, the Kubebuilder zap configuration outputs a timestamp for each log, which gets formatted using scientific notation. This makes it difficult for me to read the time of an event just by glancing at it. Personally, I prefer ISO 8601, so let's change it!

What else would you expect from a structured logging package?

To me it absolutely makes sense as the default and standard for 99% of applications, and the API isn't much unlike something like Zap[0] (a popular Go structured logger).

The attributes aren't an "arbitrary" concept, they're a completely normal concept for structured loggers. Groups are maybe less standard, but reasonable nevertheless.

I'm not sure if you're aware that this is specifically a structured logging package. There already is a "simple" logging package[1] in the sodlib, and has been for ages, and isn't particularly fast either to my knowledge. If you want really fast you take a library (which would also make sure to optimize allocations heavily).

[0]: https://pkg.go.dev/go.uber.org/zap

[1]: https://pkg.go.dev/log

And finally for structured logging: https://github.com/uber-go/zap

For logging: I recommend using Uber Zap https://github.com/uber-go/zap It will log stack backtraces and makes it super easy to debug errors when deployed. I typically log in the business logic and not below. And log at the entry for failures to start the system. Maybe not necessary for this example, but it’s an essential piece of any API backend.