kyma VS gqlgen

Although I had the project on my radar, I never took a closer look at it. However, now it was the time to give it a spin ... or try. All I needed was a Kubernetes environment. As I am working in the SAP space the choice of Kubernetes is kind of predefined, namely Kyma in its managed version on the SAP Business Technology Platform.

News from the SAP side: the clear focus is here SAP Business Technology Platform especially Kyma

I could only find https://github.com/kyma-project/kyma as something close to being real-world. But my google fu is failing here. Any help would be appreciated :)

I am using Kyma as opinionated stack on top of Kubernetes (to be precise on a Gardener cluster) for this exercise. The setup should be similar for vanilla stacks, but the API gateway must be adjusted accordingly depending on what you use.

So you can install Kyma 1.x without own domain, but you have no access to the Kyma console UI. An issue is open for this (https://github.com/kyma-project/kyma/issues/11924) and according to the Kyma slack channel the situation will improve with the upcoming release of Kyma 2.x, but until then you must provide an own domain to get access to the Kyma console UI. From my point of view this lifts the entry barrier of trying out open-source Kyma, but currently this is the way.

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