foundation VS amplication

GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.

When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.

REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.

A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.

This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.

To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.

GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.

Go to https://amplication.com.

The application used in this demonstration was generated through Amplication, which allows you to generate production-ready backend services - reliably, securely, and consistently.

Setting up Auth0 authentication in your Amplication application is easy. You can use the Auth0 plugin to add the required dependencies and configuration files to your application. The steps are as follows:

Additionally, you can use tools like Amplication to bootstrap your Node.js applications easily and focus on these parallel processing techniques instead of wasting time on (re)building all the boilerplate code for your Node.js services.

In addition, Prisma is supported by microservice code generation tools like Amplication. Prisma plugs directly into the code generated by Amplication. By doing so, you can utilize Prisma as an ORM layer for your databases and generate microservice code with ease in just a few clicks.

We've prepped dozens of issues spanning various domains like bug fixes, UI/UX improvements, documentation enhancements, and more.

Amplication, is a powerful open-source backend development tool engineered to streamline and accelerate web application creation. It offers a user-friendly interface and a comprehensive feature set, making it a valuable resource for developers and organizations aiming to swiftly develop robust, scalable applications while conserving time and resources.

In this example, I will create 3 Node.js services (shipping, notification, and courier) using Amplication, add traces to all services, and show how to analyze trace data using Jaeger.

Amplication lets you auto-generate Node.js code for your microservices, enabling you to build high-quality apps with high-quality code that take extra precautions for the issues discussed above to ensure that your app will not cause any memory leaks (well, at least not in the boilerplate code we generate. The rest... is up to you 😊).