"Vue+S3+Lambda" architecture on Google Cloud - amazon-web-services

My single page website (VueJs) has only very few transactions, so I would like to implement it using serverless architecture.
A recommended architecture on AWS for a simple Web Application is the following:
Vue App uploaded on AWS S3
Connect to Backend via REST API
Use Lambda Funktions to connect to a Database
However, I would like to do this on Google Cloud as I plan to use BigQuery for Analytics.
What would be a similar and suitable architecture using Google GCP products to launch my Vue-based website with some straight forward backend processes?

You can use:
Cloud Storage for S3
API Gateway or Cloud Endpoints for REST API (compare your load needs and pricing)
Cloud functions for lambda
As for implementation complexity it will be more-less same. Some features are implemented in GCP much more convenient than in AWS and some - vice versa.

Related

Is there a REST API available for SageMaker, or is it possible to interact with SageMaker over the Amazon API Gateway?

SageMaker provides a full machine learning development environment on AWS. It works with the Amazon SageMaker Python SDK, which allows Jupyter Notebooks to interact with the functionality. This also provides the path to using the Amazon SageMaker Feature Store.
Is there any REST API available for SageMaker? Say one wanted to create their own custom UI, but still use SageMaker features, is this possible?
Can it be done using the Amazon API Gateway?
Amazon API Gateway currently does not provide first-class integration for SageMaker. But you can use these services via AWS SDK. If you wish, you can embed the AWS SDK calls into a service, host on AWS (e.g. running on EC2 or as lambda functions) and use API gateway to expose your REST API.
Actually, SageMaker is not fundamentally different from any other AWS service from this aspect.
I think you're better off wrapping the functionalities you need as an API you own to avoid the timeouts associated with REST. Did you check out https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html as well?

Google Cloud (API GATEWAY) Custom Domain

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.

Building an API on Google Cloud Platform

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

Migrate from AWS: dynamoDB+API gateway to Google: DataStore +?

After running my head against the limitations of the query options in dynamoDB (specifically the missing option of an SQL-like IN operator) I decided to move onto Google Cloud DataStore.
In my current implementation I have a simple JSON API setup in API gateway that utilizes a integration request with a body mapping to send requests onto DynamoDB as a PutItem request. The API is served via a custom domain and is used via JS on a website.
Now I would very much like something similar to AWS: API gateway -> Dynamodb for Google Cloud ??? -> DataStore, however I cannot figure out what would be the google equivalent, that can do the same simple creation of a public API, and how to get it setup?
I believe that Cloud Endpoints is the equivalent service provided by Google that should satisfy your requirements.

micro service web app with AWS

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.