aws-lambda-dotnet VS foundation

I saw this issue: https://github.com/aws/aws-lambda-dotnet/issues/245

Creating Lambda Project using Amazon.Lambda.Templates. I use Amazon.Lambda.Annotations because it will be similar to my previous console program, and we can use dependency injection.

Hopefully, this post will have intrigued you enough to check out the new framework, and try converting some of your existing functions into what I think is a much more readable and easier to comprehend format. Also, the development team is always interested in feedback, which you can supply in the issues folder of their repo. You can also find the design document for the annotations in this issue.

I don't think it's exactly what you're looking for, but you could try out the LambdaTestTool https://github.com/aws/aws-lambda-dotnet/tree/master/Tools/LambdaTestTool

According to this GitHub issue we need to add and configure an additional package when running a custom runtime on ARM:

I'm assuming API's are REST APIs. Those sound like excellent use cases for running as Lambda functions. If the API's are an ASP .NET Core Web API project it is possible to deploy that to Lambda using the Amazon.Lambda.AspNetCoreServer, https://github.com/aws/aws-lambda-dotnet/tree/master/Libraries/src/Amazon.Lambda.AspNetCoreServer, NuGet package. That can be a quick way to get something working and then later choose to rearchitect to a smaller more micro services architecture if necessary.

AWS provides a NuGet package (see Amazon.Lambda.AspNetCoreServer) that makes it easy to do this. It works pretty well, but instead of one copy of the API serving many clients you have many copies of the API each serving one client at a time. There are also limitations in areas like file upload and download (which vary depending upon whether this is being used with API Gateway or an Application Load Balancer).

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.