12/27/2023 0 Comments Ooyala scratchpad![]() So what we are doing with the second route is similar to what we might have done in the past using a query string with a parameter, e.g., we might have a /items, question mark, id=1 for example. The second route is a little different in that it is defined by a dynamic parameter, which we will make part of the URL itself. The second needs to be a subset of the first, so they're on the same path. The first endpoint lets you retrieve the full list of items, while the second one corresponds to the detail of a single item given its ID. These routes are compliant with the RESTful design principles. We'll do another path, which we'll call /item/ID, which will pull back a specific item based on the ID parameter we pass to it. ![]() We'll do one, which is /items, and that will return all the items we define. To do this, we'll define two HTTP end points. We can design a very simple API to read a list of items and retrieve the details of a given item by its ID. Alternatively, you can attach more than one method to each Lambda function. And eventually, you can bind each method to a particular Lambda function. if it's going to be POST or GET, et cetera. With Amazon API Gateway, you can define resources, map them to custom models, specify which methods are to be made available, i.e. Most relevant for us right now is that the API Gateway interfaces can connect to a Lambda function from right here within the AWS console. Each API resource can be configured independently, while each stage can have a specific cache, throttling and logging configurations. The API Gateway makes it easy to design your own resources and structure, add dynamic routing parameters and develop custom authorizations logic. And that's all good, but building that type of stateless interface on your own isn't easy, right? So the beauty of the AWS API Gateway service is that it provides an easy way to create RESTful application programmable end points. So this approach is particularly useful when you consider that each request and response can be attached to a custom mapping template in order to perform custom data manipulation or improve API backward compatibility. And furthermore, each resource should be eventually cacheable by the client based on the particular use case. I.e., the URL, the headers, the query string or the body. Now this means that all the information necessary to process a request must be included in the request itself. The level of abstraction provided by a RESTful API should guarantee a uniform interface and a set of stateless interactions. This is how you build a completely serverless web application, meaning that you won't need to manage, patch or maintain any server during your development and deployment workflow. Behind that, we have dynamic data stored in Amazon DynamoDB, Amazon RDS or other databases as a service that may be serving as an alternative. We have a RESTful API implemented with AWS Lambda and HTTP end points exposed via the Amazon API Gateway service. We may have a static website hosted on Amazon S3 and distributed via Amazon CloudFront. And in the serverless world, a typical configuration looks similar to this. One of the main use cases for AWS Lambda is that you can attach a RESTful interface to it through the Amazon API Gateway. We can configure our custom stages, protect resources with an API key and explain how to best connect API Gateway stages within AWS Lambda version and alias. Now doing this provides an easy way to create a scalable backend for a modern application or mobile app. ![]() Once we've defined this new API, we can then see how we connect it to our AWS Lambda function. So to get started with our journey to the land of Lambda, we're gonna create a new API Gateway first to get an idea of how this works.
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