Google Cloud Platform

My days of using Firebase are over! I want to move to something scalable and possibly less cheap. In the past seven days I have done my research on what type of DB best fits my needs, and have chosen to go with the nonrelational DB; MongoDB. Although I understand it, I need help understanding how to set up the architecture. I have the client app (Flutter/ Dart) that would make HTTP requests to the web server (node/express), and from there the webserver would query data from MongoDB.

How should I go about hosting the web server and MongoDb; do they have to be hosted together (this is where a lot of my confusion is)? Based on the research I've done, it seems like the standard practice would be to host on a VM provided by services such as Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc. If there are better ways, such as possibly self-hosting (more responsibility), should I? Anyways, I just want to confirm with a community (you guys) to make sure I do this right, all input is highly appreciated.

Good day, everyone!

We recently got the request to add a feature to our systems: Forms should be saved to be continued later given the following cases:

If the connection to the server is lost, if the user closes their browser, if the user changes networks, if the user didn't finish the form and decides to take a week off and a mix of them all.

One of the best solutions we've thought so far is to save the data in the forms in a remote database every so minutes directly from the client.

A document-oriented database seems the best bet, but which database to use is the question. Since we already use Google Cloud Platform, Cloud Firestore is a "safe" option right now, but we are looking at every option we can find. The "caveat" of our use case is that we need more writes than reads, but writes are usually more expensive, and our biggest constraint is budget.

That's why I am seeking advice. What other options do we have?

In case you're wondering, we seek to save the forms bypassing the backend and our own system resources entirely, so a dedicated, remote database or Local Storage are our best options, but Local Storage is a bit controversial choice within the team, so we will explore that options later on.

Any advice or experience in this matter is highly appreciated!

We are evaluating an APM tool and would like to select between AppDynamics or Datadog. Our applications are largely hosted on Microsoft Azure but we would keep the option to move to AWS or Google Cloud Platform in the future.

In addition to core Azure services, we will be hosting other components - including MongoDB, Keycloak, PagerDuty, etc. Our applications are largely C# and React-based using frontend for Backend patterns and Azure API gateway. In addition, there are close to 50+ external services integrated using both REST and SOAP.

Hi

We have 2 web applications running on PHP and Laravel and backend MySQL. Currently, each server is running on a dedicated server. We want to switch to a cloud infrastructure. Looking into either Google Cloud Platform or Amazon AWS.

Which one is better? Google cloud comes out to be a couple of hundred dollars cheaper than AWS.

Need advice on which one we should go with?

Thanks

Hello Everyone, My motive is to build an MLOps pipeline that is 100% independent from Cloud services like AWS, Google Cloud Platform, and Microsoft Azure. I have a project for a client in a production factory and would like to build a Camera based Object Tracking ML service for them. I want to build this pipeline in my own server or (on-premise computer). I am really confused about what stacks I should use. I keep ending up with a Cloud component based solution. It would be great to get some advice on what are the components that I can use and preferably open source.

Hello folks, we are making a company internal google chatbot system hosted on Google Cloud Platform. The backend is being written in ExpressJS + TypeScript, we are planning to use Cloud SQL to store basic entities like Users, Spaces, Connections(use-case specific).

The question I have is which tool is recommended for this basic use case where we want to query some data and perform CRUD operations. Also, how we should be handling the DB version control & migrations?