At Prifina we are grateful to be able to work in collaboration with leading software developers in different companies and in open collaboration. We’re also fortunate to have the chance to work with amazing new technologies like GraphQL, that unlocks much more flexibility and permeability than their predecessors like the Restful API setup.
Every once in a while we notice there that something new doesn’t have full support available for something we want to do, where we have to solve what looks like a common problem for ourselves. As we’re building our own solution to what seems like a common problem, our solution is to release it to the public domain.
This post is about a GraphQL Data Model Editor we've built together with Startup Commons and Grow VC Group and are now releasing, so we can develop it together in collaboration with others that see value in using it.
What we’ve built: The GraphQL Data Model Editor
Here you can see the clickable prototype. Feel free to add comments, questions or suggestions.
A complete application to create, document (for the business user and the technical user), edit, manage, publish, populate, test, verify and deploy data models in SLS to AWS, and use this model to spin up AWS infrastructure.
Building and documenting the data model
Dual view, from “document” to SLS
Encouraging the designer and developer to work together via dual views in text and SLS
Testing the data model
Populating and testing the data model (with test data)
Visualizing and documenting the data model
Publishing and connecting the data model to AWS
In our internal setup, this published SLS data model can be deployed directly into AWS and used to spin up the needed backend setup. It can also be used to make amendments into the existing infrastructure, which naturally requires clear versioning, deployment protocols and access controls.
We see the need for further development in at least the following areas:
Est. 2009 Grow VC Group is building truly global digital businesses. The focus is especially on digitization, data and fintech services. We have very hands-on approach to build businesses and we always want to make them global, scale-up and have the real entrepreneurial spirit.
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