API Gateway is a fully managed service that makes it easy to develop, deploy, and maintain APIs at scale. API Gateway acts as a "front door" for applications to access data, business logic, or functionality from your back-end services. With API Gateway, you can create, publish, maintain, monitor, and secure APIs at any scale. Additionally, you can create APIs that access AWS or other web services, as well as data stored in the AWS Cloud.
API Gateway handles all tasks involved in accepting and processing up to hundreds of thousands of simultaneous API calls to your backends, including data traffic, authorization and access control, monitoring, and API version management. You can use API Gateway to enable API calling directly to AWS Lambda, which is a service that runs your code without provisioning or managing servers.
API Gateway's integration with AWS Lambda allows developers to create REST APIs without the need to manage servers. This is done by creating Lambda functions that API Gateway can trigger. These Lambda functions can be written in multiple languages, including Python. With this integration, developers can focus on the business logic of their applications, while AWS takes care of the underlying infrastructure.
To get started using API Gateway with AWS Lambda, you need to create a new API in API Gateway. You can then create resources and methods for this API. A resource is an entity that can be accessed through an API endpoint. A method is an HTTP action that can be performed on a resource, such as GET, POST, PUT, DELETE, etc.
Once you've created your resources and methods, you can integrate them with Lambda functions. To do this, you need to specify the ARN (Amazon Resource Name) of the Lambda function that you want to trigger when a method is called. You also need to ensure that the Lambda function is allowed to be triggered by API Gateway.
After you configure the integration, you can test your API methods using the API Gateway console. You can also monitor the usage and performance of your API methods using Amazon CloudWatch, which provides actionable data and insights to monitor your applications and understand and respond to changes in system performance.
To secure your APIs, you can use various authorization and access control options provided by API Gateway. For example, you can use AWS Identity and Access Management (IAM) to control who can access your APIs. You can also use API keys to limit and manage the use and deployment of your APIs.
In summary, API Gateway integration with AWS Lambda allows developers to create and manage REST APIs without the need to manage servers. This allows developers to focus on the business logic of their applications, while AWS takes care of the underlying infrastructure. Additionally, API Gateway provides multiple authorization and access control options to secure your APIs.
This Python with Lambda and API Gateway for backend development course will guide you through all the basic and advanced concepts of using API Gateway and AWS Lambda to create REST APIs. You will learn how to configure and test your APIs, how to integrate them with Lambda functions, how to monitor the usage and performance of your APIs, and how to secure them using various authorization and access control options. With this knowledge, you will be able to create robust and scalable backend applications using Python, AWS Lambda and API Gateway.
