Fiber VS dgraph

To make my life easier, I added Fiber, a popular lightweight framework. Regardless of which package you use, the process and most of the code will remain unchanged.

Since you're from Nodejs just like me, I use fiber https://gofiber.io/ it's easier to understand from a Nodejs background (express, etc) and there's nothing wrong using it if you know it, your casual application wont need all the performance in the world Go provides

I think u should try Fiber it's the fastest according to the benchmarks and imo it's the best I love it!!!

Boneless is a powerful tool that offers a wide range of features to facilitate application development. In this blog post, we will explore some essential tools that can be used in conjunction with Boneless: Service Weaver, Go Migrate, SQLC, and Fiber. Let's discover how these tools can boost productivity and efficiency in application development.

Fiber

Fibber is web framework written in Go. It is very easy to learn. https://gofiber.io

don’t have an API at all - it’s a security vulnerability and unless you already know how to secure an API suite it’s very likely to increase risk for a dependent project. if you’re set on an API, use a well known routing package (e.g I love gofiber), and add an optional .withMiddleware() to your start func to allow clients to extend and secure the API themselves

I have loved using fiber. Very nice API with lots of configurability and it scales very well compared to echo, gin, etc.

Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support.

Dgraph (GraphQL, DQL)

Have you tried dgraph.io?

DGraph – A distributed GraphQL database with a graph backend.

How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic?

Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes worker nodes were required.