graphql-hive VS wundergraph

Once we decoded the incoming access token we can then read the R2 key value e.g. `/cdn-keys/c7ce447c-f5e6-4f13-87b8-d3051ba3fc45/c7de111c-f5g9-4f13-87b8-d1267ba3ge95` and then check the user-sent `privateKey` against the hash stored there. For subsequent requests, the same cache logic as for the legacy tokens is reused. The UI part was pretty straight-forward and less challenging to build, however it was still part of this project. The new token overview:  Creating a new token:  We successfully deployed this to production and then informed all our clients that are waiting for this feature. 🎉 In addition, this is of course now also available for the self-hosted Hive users. ## Conclusion This was an exciting and challenging project to solve and Cloudflare provides useful tools for solving these kinds of problems. On the other hand debugging Cloudflare tooling is often frustrating and cumbersome, documentation is also often scarce or non-existing for more advanced use-cases. Nevertheless, we are happy to finish this project successfully and are looking forward to all the future challenges! In case you did not know, Hive is fully open-source and self-hostable! You can find all the code, steps and pull requests on GitHub! * https://github.com/kamilkisiela/graphql-hive/pull/1003 * https://github.com/kamilkisiela/graphql-hive/pull/1043 * https://github.com/kamilkisiela/graphql-hive/pull/1005 * https://github.com/kamilkisiela/graphql-hive/pull/1114 * https://github.com/kamilkisiela/graphql-hive/pull/1120 * https://github.com/kamilkisiela/graphql-hive/pull/1127 * https://github.com/kamilkisiela/graphql-hive/pull/1130 * https://github.com/kamilkisiela/graphql-hive/pull/1142 * https://github.com/kamilkisiela/graphql-hive/pull/1143 * https://github.com/kamilkisiela/graphql-hive/pull/1061

Source code https://github.com/kamilkisiela/graphql-hive Documentation for self-hosting https://docs.graphql-hive.com/self-hosting/get-started

Previously in this rule, we had only a suffix option but in our open-source SAAS project Hive, we prefix all files with executable definitions with their operation types.

I never really got graphql until I stumbled upon Wundergraph. (https://github.com/wundergraph/wundergraph). I have no affiliation with them except that I have been building an app with it. I'm honestly puzzled how it's not more popular. Maybe people are solving these problems in other ways? But I tried out a bunch of stuff: Vapor, Supabase, Hasura, etc. None of it simplifies building complex systems the way WG does.

I think their takes on graphql make sense: https://wundergraph.com/blog/graphql_is_not_meant_to_be_expo...

To demonstrate field usage metrics in Federation, I’ll be using WunderGraph Cosmo — a fully open source, fully self-hostable platform for Federation V1/V2 that is a drop in replacement for Apollo GraphOS.

The inverse is also true. As a technical founder, and maybe even an introvert like me, you should definitely look for a non-technical co-founder who can help you with networking, etc... I found my dream co-founder through YC Co-founder match and what can I say, it's going great. We're focusing on enterprise GraphQL/API solutions (https://wundergraph.com) and I benefit from the networking and communication abilities of Stefan, while I answer all technical questions. Tldr, I highly recommend to team up with people who complement your skills.

GraphQL Gateway is primarily responsible for serving GraphQL queries to consumers. It takes a query from a client, breaks it into smaller sub-queries, and executes that plan by proxying calls to the appropriate downstream subgraphs. When we started our journey, there was only Apollo Federation in the arena, and we used it. Still, now you can look at other options (e.g. Mercurius, Conductor, Hot Chocolate, Wundergraph, Hasura Remote Schemas), compare benchmarks and decide what's important and preferable for your needs. The Gateway provides a unified API for consumers while giving backend engineers flexibility and service isolation.

I'm a big fan of tRPC. It's amazing how it pushed TypeScript only stacks to the limit in terms of DX. Additionally, it made the GraphQL community aware of the limitations and tradeoffs of the Query language. At the same time, I think tRPC went through a really fast hype cycle and it doesn't look like we're seeing a massive move away from REST and GraphQL to RPC. That said, we see a lot of interest in RPC these days as we've adopted some ideas from tRPC and the old NextJS. In our BFF framework (https://wundergraph.com/) we've combined file based routing with RPC. In addition to tRPC, we're automatically generating a JSON Schema for each operation and an OpenAPI spec for the whole set of operations. People quite like this approach because you can easily share a set of RPC endpoints as an OpenAPI spec or postman collection. In addition, there are no discussions around HTTP verbs and such, there's only really queries, mutations and subscriptions. I'm curious what other people's experiences are with GraphQL, REST and RPC style APIs? What are you using these days and how many people/teams are involved/using your apis?

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