artwork VS aws-lambda-java-libs

They developed a solution, and open sourced it as GraphQL.

I'm using the Official GraphQL, HowToGraphQL and several other websites to curate my own notes on GraphQL.

Your cloud architecture, system design and project leadership skills should be more important than language specifics when interviewing. That being said, I recommend learning about Node.js internals (e.g. the event loop); ES6+ language improvements; and some trending tools and libraries like TypeScript, Docker, Serverless Framework and GraphQL. Know enough about Express and serverless functions justify using one over the other when designing a system.

API stands for Application Programming Interface. APIs define how two pieces of software can connect and talk to each other. If your application were a big company, your API's job would be to keep in touch with external parties (customers or company partners, for example). Most APIs are organized around some standard, like REST or GraphQL, so that everybody knows how to use them.

GraphQL is developed by Facebook initially for their mobile app and has been adopted widely across web apps.

Last week, I built a microservice: a resource for a section of the landing page of the platform, which renders from a database loaded with data. In technical terms, I built and consumed an API. I used Dynamo DB (a database provided by Amazon Web Services (AWS))) to store my data, creating a table with desired fields for me to use in populating my table. GraphQL was used as playground for me to query and mutate my database. i.e. a way of creating, reading, updating and deleting information from the database, a process technically known as CRUD.

GraphQL, if you are not familiar, is a way of having APIs which are query-able similar to SQL for a database.

GraphQL.org

More than that, it's a good idea for storing non-sensitive data across the application. It might be a Redux or GraphQL state or some global app-wide variables. On the other hand, you shouldn’t use that for storing tokens and secrets, as the storage is not encrypted in any way.

AWS AppSync is a fully managed GraphQL API which is a serverless offering by AWS.

AWS Lambda simplifies composable applications by offering serverless execution, seamless integration with AWS services, automatic scaling, and cost efficiency without the need to manage servers.

Deploying Dart functions to AWS Lambda enables you to utilize them not only within AWS Lambda but also integrate them with services like Amazon API Gateway, allowing you to leverage them in Flutter applications as well. This unified codebase in Dart offers great convenience.

Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers).

Amazon Web Services (AWS) Lambda is a serverless function-as-a-service (FaaS) platform that lets you deploy, run, and scale code in the cloud as self-contained functions without having to manually configure any infrastructure. Lambda runs your functions on demand in response to specific events, such as an HTTP request from the internet or activity in another AWS service.

FaaS is specifically focused on building and running applications as a set of independent functions or microservices. Major cloud providers like AWS (Lambda), Microsoft Azure (Functions), and Google Cloud (Cloud Functions) offer FaaS platforms that allow developers to write and deploy individual functions without managing the underlying infrastructure.

So AWS Lambda is basically a serverless computing service that is offered by AWS. It enables developers to run the code in response to various events. It protects the developers from the pain of managing the servers. Using a serverless execution model helps the developers to handle provision, manage and scale the servers automatically. Through this approach the developers can fully focus on writing the code instead of dealing with other aspects.

The first product that popularized the term “serverless” was AWS Lambda, which is both the prototypical and archetypical function as a service provider. It also has a great name, which pings back to its envisioned place in the cloud of the future. In computer programming, a lambda, often referred to as a lambda function or lambda expression, is a concise way to represent an anonymous function, which is a function without a name. The concept originates from lambda calculus in mathematical logic and has been adopted by many programming languages, each with its own syntax and characteristics.

You can build a custom config rules in 2 ways, using AWS Lambda and CloudFormation Guard. Lambda gives you a lot of flexibility, but it also brings complexity of maintaining. CloudFormation Guard is a bit more lightweight in that regard. Yes, you still need to maintain the logic to determine when your resource is compliant or not. But you need to do this in both cases, thus my go to preference is CloudFormation Guard.

AWS Lambda: https://aws.amazon.com/lambda/