I'm building an app and the idea is to go serverless.
I'm looking mainly at AWS and GCP (Google Cloud Platform), and as AWS costs are a bit obscure (at least for me), and there is no way to ensure not being billed, I'm going with GCP.
For the "server" part of the app, I would like to build an API on GCP as I could do with AWS API Gateway, but I couldn't find any matching product for that.
The closer one was Google Cloud Endpoint, but it seems to have a very different concept from AWS API Gateway. I've watched some videos about it (for example https://www.youtube.com/watch?v=bR9hEyZ9774), but still can't get the idea behind it or if it fits my needs.
Could someone please help clarify which GCP product would be suitable for creating an API and how it compares to AWS API Gateway?
Some link with info/example on how to do it would be really appreciated.
Google Product Manager here.
We don't have an exact analog for AWS API Gateway.
You're right about Cloud Endpoints. It's a bit of a different architecture than AWS uses -- it's a sidecar proxy that gets deployed with the backend. That's different than API Gateway, which is a fully managed proxy deployed in front of your backends.
If you are deploying in App Engine Flexible environments: good news! The Endpoints Proxy can be deployed as part of your deployment. It can do things similar to AWS API Gateway (API key validation, JWT validation, rate limiting).
We are working on some plans to allow for the proxy to be used in other places (Cloud Functions and the newer App Engine Standard runtimes).
And, finally: on our older App Engine Java and Python runtimes, we have API Frameworks that provide the same functionality. Those frameworks do the same thing as the proxy, but get expressed as code annotations and built into your app. We're moving away from the framework model in favor of the proxy model.
An example of springboot project with google cloud app engine can be found here-https://github.com/ashishkeshu/googlecloud-springboot
Related
I am currently building a rest api, for this I am using Google Cloud API Gateway and Google Cloud Run. I've been looking at all the google cloud documentation and researching elsewhere and I can't find how to add a custom domain to an API gateway instance. The funny thing is that there is more documentation for Google Cloud endpoints, I could find how to do it with endpoints but it does not apply to my use case.
I have 10 instances of google cloud run each one running a microservice respectively and I want to join everything in a single domain and add support with openapi, but I have failed in the attempt.
In any case, if someone has managed to customize the domain of an api gateway instance, I would appreciate if you could guide me, greetings.
For the beta release, custom domain names are not supported on GCP for API Gateway. Since it is still beta as of today, if you want to use a custom domain, you could use Cloud Endpoints in Cloud Run or you could even look into using Microservices in App Engine.
In AWS, making a new API is as easy as going to the API Gateway service and clicking "Create API". How do I do the same in GCP? The Endpoints service does not appear to offer any way of creating an API.
At GCP there are several offers to deploy APIs, and as you have pointed Cloud Endpoints do not offer to ways to create aPI, but it provides frameworks to to base on and to integrate with the actual application hosting offers (App Engine, Compute Engine GKE, Cloud Run, Cloud Functions).
I would follow this tutorial in order to create the base for your API and later deploy and test your API. Notice that in those tutorial App Engine is used to deploy your API.
I have been thinking about building a backend with graphQL.
The aim is to make the life of the backend team easier and iterate quicker rather then have to build REST endpoints or wss actions for each dataset retreivale.
GraphQL seems to be one of solution. We are very familliar with the Lambda environement and therefore in our research we found AppSync. I looks like a perfect solution, however I have some concerened around being locked in AWS and by designing the whole architecture around AppSync.
The beauty of serverless is that with the Serverless Framework, we could redeploy all functions to another cloud provider (Azure Functions) or even dockerize the functions for a deployment onprem.
I am concerned that with AppSync there is really no alternative in either other cloud providers or to easly do this onprem. Does anybody have any experience with this? Would it be more worth it to do the work to deploy an appolo server in lambda and build the connectors/listeners to the data sources our selfs with something like this: https://github.com/michalkvasnicak/aws-lambda-graphql/tree/aws-lambda-graphql%400.13.0#design-michalkvasnicak ?
IMHO, it comes down to how exactly the client of the GraphQL endpoint will secure data. One strategy is to secure an app with Amazon identity services like IAM and Cognito. Amplify's strength is secure integration with IAM, Cognito, API Gateway, DynamoDB, S3, and AppSync. A secure GraphQL endpoint on AppSync, for example. The data hosted in each AWS cloud service can be secured with Amplify and there are many other strategies too.
The serverless framework is a break through for serverless developer operations. The framework is beautiful. I don't disagree with your concern that Amplify generated cloudformation is not portable. Cloudformation is different DevSecOps culture than the Serverless framework. Amplify's generated DevSecOps code simply lands in Cloudformation culture.
I'm awfully new to GraphQL on the cloud, FWIW. I don't have experience with Apollo on Lambda. I cried, it looked difficult to automate the security though a seasoned pro may know. I certainly hope you get to a point where you never have to throw a single line of code away. I'm not even close, yet.
An easy entry point to the AWS eco system is to use AWS Amplify.
It has documentation guidance on security, GraphQL API, etc.
I have a Django Project deployed in AWS EC2 and have created all the REST APIs with DRF. Everything is working great. When I point public.ip.of.ec2:8000/myapi, I get the correct response and these APIs are used in Android application.
Now, day by day the API hits will be increased. So in order to maintain API requests I want to integrate my APIs with APIGateway. After a lot of reading and searching I still could not find any definitive tutorial or steps as of how to integrate APIGateway with EC2.
I've followed this but still could not integrate APIGateway with AWS Service i.e., EC2.
Please suggest a way to do this.
I have a Django Project deployed in AWS EC2 and have created all the
REST APIs with DRF. Everything is working great. When I point
public.ip.of.ec2:8000/myapi, I get the correct response
Integration type you are looking for is HTTP integration
Now, day by day the API hits will be increased. So in order to
maintain API requests I want to integrate my APIs with APIGateway
Although you can configure API caching, throttling, logging and monitoring, AWS API Gateway won't scale your backend integration. You will need to configure autoscaling on backend service as well.
I am developing a web application for image upload and retrieval with AWS cloud services using a micro service architecture.
I am new to AWS and micro service architecture, please help me map the components of the architecture to AWS components.
Do i consider each micro service to run on one EC2 instance with auto scaling and load balancing?
Or do I run each micro service on one EC2 cluster?
If i put my static html files in an S3, how can i call database methods to load the html pages with content?
Is it by calling am API gateway from the client?
I have searched the web, but was unable to find a tutorial which implements multiple services as micro services using AWS EC2 / ECS.
Please help me figure out how to map my requirements and if there are any tutorials on implementing a similar app, will be very helpful.
Thank you in advance! :)
In short, you could use the serverless architecture i.e (with AWS's APIGateway and Lambda services) to build robust micro service based web applications.
Since you said that you were new to micro services architecture, I am listing down the best approaches.
Frontend/client
Single page applications(SPA) work well in the front-end and as they are a static site, they could be easily deployed to S3. This is the most cost efficient approach for SPAs. Here is a video deploying SPA on S3. This video will guide you through step by step instructions for deploying your SPA.
In case, you use react and redux in the front end, check out these steps for deploying react app to S3.
Backend
AWS EC2 is a good option. But there are many more alternatives available. As you said, you were new to backend, setting up EC2, VPC's and Elastic-ip is a little difficult process.
Nowadays, SPA's cover a lot of business logic, routing, etc., We need our backend only as API's for performing CRUD operations with database. I would like to suggest a bleeding edge technology called serverless. Here is the tutorial for launching your backend within 5 minutes. AWS lambda is a service that is called as function as service. You can build your backend using AWS lambda + API gateway + DynamoDB.
For eg: say you want to register some details in backend, you will POST all the data from client to your backend with url and proper path. In AWS lambda, you write your logic for POST as a function, which contains the logic to parse the data from request and send to dynamoDB. Now, this function can be exposed to world by connecting this function with API gateway( an another service in AWS). At the end we get an API, which can be used in your angular 2 APP. SO, on invoking the POST, angular 2 -> API gateway -> Lambda(extract request and send to DB) -> dynamoDB.
Benefits of using serverless compared to EC2.
You don't need to manage your server(EC2) from updating the new security patch to auto-scaling, everything is taken care by lambda. Serverless is a fully managed service.
You only pay when your lambda functions are invoked. On the contrast, even though your web app doesn't receive traffic for a given day, you have to pay the day-tariff for the given day.
Here is my github repo which could be a boiler plate for reactJS + Serverless + graphQL web app.
Having said, try serverless when compared to traditional backend approach. Any questions on this would be welcomed.