After creating API Gateway with two API names and integrating with lambda function,
AWS documentation recommends to deploy this API, as shown below:
1) What does deploy API mean? How creating API gateway different from deploying API?
2) Does deploy API option internally create Cloud formation template? that creates a stack and deploy
1) What does deploy API mean? How creating an API gateway different from deploying API?
Let' say you have created your API but how about making it public so that it can be used.
That's where deploy comes. Once you are done with writing your API, deploy it to make it callable by your users. When you deploy, then you get the link from API Gateway which can be accessed by everyone.
It is described here
2) Does deploy API option internally create Cloud formation template? that creates a stack and deploy
No, Like you said you have integrated a lambda function with your API then API Gateway will simply redirect all the calls to your lambda function which is serverless.
An API Gateway is a Proxy that manages the endpoints ,It acts as the single entryway into a system allowing multiple APIs or microservices to act cohesively and provide a uniform experience to the user.
The most important role the API gateway plays is ensuring reliable processing of every API call. In addition, the API gateway provides the ability to design API specs, help provide enterprise-grade security, and manage APIs centrally.
An API Gateway is a server that is the single entry point into the
system. It is similar to the Facade pattern from object‑oriented
design. The API Gateway encapsulates the internal system architecture
and provides an API that is tailored to each client. It might have
other responsibilities such as authentication, monitoring, load
balancing, caching, request shaping and static response handling.
https://learn.microsoft.com/en-us/azure/architecture/microservices/design/gateway
https://microservices.io/patterns/apigateway.html
Deploying a REST API in Amazon API Gateway:
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-tutorials.html
https://auth0.com/docs/integrations/aws-api-gateway/custom-authorizers/part-1
https://auth0.com/docs/integrations/aws-api-gateway/custom-authorizers/part-2
https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-deploy-api.html
Related
Recently I had a contracted company do some work and part of that was to create an API Gateway. When I create one I add a stage with usage plan so I can add an API key. They did not. So now when I attempt to hit it with Postman it is always reporting "forbidden".
Is a stage required for the API Gateway to be usable by Postman?
Found the answer in the docs at AWS here: Publishing REST APIs for customers to invoke
It states:
Simply creating and developing an API Gateway API doesn't automatically make it callable by your users. To make it callable, you must deploy your API to a stage.
So YES, a stage is required for the API Gateway to be usable by Postman.
I have a private S3 bucket with lots of small files. I'd like to expose the contents of the bucket (only read-only access) using AWS API Gateway as a proxy. Both S3 bucket and AWS API Gateway belong to the same AWS account and are in the same VPC and Availability Zone.
AWS API Gateway comes in two types: HTTP API, REST API. The configuration options of REST API are more advanced, additionally, REST API supports much more AWS services integrations than the HTTP API. In fact, the use case I described above is fully covered in one of the documentation tabs of REST API. However, REST API has one huge disadvantage - it's about 70% more expensive than the HTTP API, the price comes with more configuration options but as for now, I need only one - integration with the S3 service that's why I believe this type of service is not well suited for my use case. I started searching if HTTP API can be integrated with S3, and so far I haven't found any way to achieve it.
I tried creating/editing service-linked roles associated with the HTTP API Gateway instance, but those roles can't be edited (only read-only access). As for now, I don't have any idea where I should search next, or if my goal is even achievable using HTTP API.
I am a fan of AWSs HTTP APIs.
I work daily with an API that serves a very similar purpose. The way I have done it is by using AWS Lambda functions integrated with the APIs paths.
What works for me is this:
Define your API paths, and integrate them with AWS Lambda functions.
Have your integrated Lambda function return a signed URL for any objects you want to provide access to through API calls.
There are several different ways to pass the name of the object(s) you want to the Lambda function servicing the API call.
This is the short answer. I plan to give a longer answer at a later time. But this has worked for me.
I am trying to call sagemaker inference endpoint from api gateway with AWS Integration.I don't want to use lamdba in between of API gateway and sagemaker runtime. I followed this doc to setup api gateway method but it fails.
How can i call sagemaker inference endpoint from API gateway?
Web Browser ----> API Gateway ----> Sagemaker endpoint
API Gateway supports integration with AWS services directly (without the Lambda). You can follow the instructions at https://docs.aws.amazon.com/apigateway/latest/developerguide/getting-started-aws-proxy.html.
When you go to Step 4 in the instructions above, for the AWS Service option, you can choose 'SageMaker Runtime' to target the invoke endpoints.
API Gateway can be used to front an Amazon SageMaker inference endpoint as a REST API, by making use of an API Gateway feature called mapping templates. This feature makes it possible for the REST API to be integrated directly with an Amazon SageMaker runtime endpoint, thereby avoiding the use of any intermediate compute resource (such as AWS Lambda or Amazon ECS containers) to invoke the endpoint. The result is a solution that is simpler, faster, and cheaper to run. See this blog post for more detail on how to configure the API Gateway mapping templates against the Sagemaker runtime endpoint.
it's a long shot since it's an old question but somebody might end up here.
Reading the first section of the documentation about calling the inference endpoint in sagemaker, you'll find that you can only call it with a POST and pass your input data in the body.
https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpoint.html
So it might be that you created a GET method in API Gateway and that you need to map your request parameters to a body payload or simply set up a POST method instead.
I have a task to replace current CA layer 7 with new API gateway.
New API gateway should be able to handle
1. Rate limiting
2. Authentication
3. Version handling etc.,
After researching i found we could use AWS api gateway or Kong api gateway or AWS ALB with Cognito for authentication support.
This is so overwhelming to understand the basic differences, could you please give some insight on basic concept in simple words and some pointers or link that i should refer to start with.
API Gateway keep track of every deploy you make in the Deployment History tab. There you will find all versions of your API and you can change to any of them whenever you want.
You can also create your api gateway from a Swagger file.
For every method that you create for a resource you need to configure the Method Request, the Integration Request, the Integration Response and the Method Response.
The Integration Request is where everything happens. You will set there how you are going to handle your requests, if you are going to integrate with any aws service like firehose or if you are going for a lambda integration or with an existing HTTP endpoint.
Mapping Templates uses Apache Velocity Template Language (VTL). http://velocity.apache.org/engine/1.7/vtl-reference.html
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-mapping-template-reference.html
Getting started with REST apis:
https://docs.aws.amazon.com/apigateway/latest/developerguide/getting-started.html
API GATEWAY INTEGRATION TYPES:
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-api-integration-types.html
How to import a rest api:
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-import-api.html
Limits and known issues:
https://docs.aws.amazon.com/apigateway/latest/developerguide/limits.html
Deploying:
https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-deploy-api.html
Publish:
https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-publish-your-apis.html
AWS API Gateways supports lambda authoriser for authentication which is integrated with any identity provider - Azure AD, Cognito pool etc. It supports both Client Credentials (service to service) authentication and Authentication code(user based authentication) but AWS ALB don't support client credentials authentication flow.
AWS API Gateway also provides caching, request & response mapping, customise handling for each response type, request validation, throttling where AWS ALB is yet to be improved for all these feature.
Kong api gateway also provide similar feature as AWS API Gateway with added features
If all the backend services are deployed in AWS and you don't need
complex API gateway then go for AWS API Gateway. It is pay per use service and you don't need to pay for extra support for API gateway assuming your services are already deployed in AWS.
If you need api gateway solution with complex requirement and extra features then Kong API gateway can be considered. But you will need to either pay for Kong API gateway support or need extra effort in coding when used open source.
AWS ALB can be used only for specific scenarios and it is getting matured day by day.
As my project is going to be deployed on AWS, we started thinking about AWS API Gateway as a way to have one main entry point for all of our microservices(frankly speaking, we also would like to use by some other reasons like security). I was playing with API Gateway REST API and I had feeling that it it a bit incovinient if we have to register there every REST service we have.
I found very good option of using AWS API Gateway and lambda function as a proxy. It is described here:
https://medium.com/wolox-driving-innovation/https-medium-com-wolox-driving-innovation-building-microservices-api-aws-e9a455cc3456
https://aws.amazon.com/blogs/compute/using-api-gateway-with-vpc-endpoints-via-aws-lambda
I would like to know your opinion about this approach. May be you could also share some other approaches that can simplify API Gateway configuration for REST API?
There are few considerations when you proxy your existing services through API Gateway.
If your backend is not publicly then you need to setup a VPC and a site to site VPN connection from the VPC to your backend Network and use Lambda's to proxy your services.
If you need do any data transformations or aggregations, you need to use Lambda's(Inside VPC is optional unless VPN connection is needed).
If you have complex integrations behind the API gateway for your services, you can look into having ESB or Messaging Middleware running in your on-premise or AWS then proxy to API Gateway.
You can move data model schema validations to API Gateway.
You can move service authentication to API Gateway by writing a Custom Authorizer Lambda.
If you happen to move your User pool and identity service to AWS, you can migrate to AWS Cognito Manage Service and use AWS Cognito Authorizer in API Gateway to authenticate.
For usecases when you adopt dumb pipes (as described on martinfowler.com) AWS API Gateway is a reasonable option.
For AWS API Gateway I'd suggest to describe/design your API first with RAML or OpenAPI/Swagger and then import into AWS using AWS API Importer.
As soon as you plan to move logic in there, such as dynamic routing, detailed monitoring, alerting, etc, I'd suggest considering other approaches, such as:
Apigee
Mulesoft
WSO2
You can also host them on an EC2 within your VPC or opt-in for the hosted version. (which does have a significant pricetag in some cases)
For describing APIs you can use RAML (for Mulesoft) or OpenAPI (ex-Swagger, for Apigee and WSO2). You can also convert between them using APIMATIC which enables you to migrate your specification across various API Gateways (even AWS).