Restdb.io - a fast and straightforward NoSQL cloud database service. With restdb.io you get schema, relations, automatic REST API (with MongoDB-like queries), and an efficient multi-user admin UI for working with data. The free plan allows 3 users, 2500 records, and 1 API request per second. - Source: dev.to / 4 months ago

Imagine you are building a frontend-app and need a way to persist data. You have a pretty good idea of what the data looks like (the schema). Creating CRUD REST APIs built on top of a database is not super-complex, but still requires a lot of setup and plumbing. This takes time and it’s not fun. What about using services like http://restdb.io and http://airtable.com? That is certainly an option, but what if you... - Source: dev.to / about 1 year ago

One of the key benefits of the JAMstack for frontend developers is the ability to focus on building user interfaces without the need for server-side rendering or complex backend logic. This allows for a more agile and efficient development process, as well as the ability to leverage a wide range of third-party APIs and services to build dynamic and engaging user experiences. They can use their favorite UI... - Source: dev.to / over 1 year ago

Since FastAPI is just a web framework, it can be used with nearly any DB/NoSQL DB framework that supports Python and your O/S and database driver of choice. Others have mentioned MongoDB and associated PyMongo derivatives, which is probably going to be your main option. Another alternative would be a hosted No SQL option, such as restdb.io, which can be accessed via a package such as requests or httpx. Source: over 2 years ago

Restdb.io - a fast and simple NoSQL cloud database service. With restdb.io you get schema, relations, automatic REST API (with MongoDB-like queries) and an efficient multi-user admin UI for working with data. Free plan allows 3 users, 2500 records and 1 API requests per second. - Source: dev.to / almost 3 years ago

The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 16 days ago

The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / 24 days ago

One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 6 months ago

I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 8 months ago

Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 10 months ago