For Python applications developed using a framework like FastAPI, deployment via aContainer-as-a-Service (CaaS)is as straightforward as pushing your code to GitHub. In this blog, you’ll learn to dockerize your FastAPI application and deploy it via a CaaS. Key Takeaways Docker and FastAPI is...
I have been tryring for days to get a simple deployment of a basic API written in python using FastAPI. I cannot get it to run. all sorts of errors. I have literally spent two days with CoPilot, GPT 1o Mini and Sonnet 3.5 and have not gotten it solved -
Docker makes it easier, safer, and simpler for developers to build, deploy as well as manage containers. On the other hand, a Docker image is an inert read-only template. It comes with instructions to deploy containers. Moving on to FastAPI, it is a web framework to build APIs with Pyth...
Currently I hosted my FastAPI python application on a web app (CPU), and now I am facing challenges since the requests need to be complete within 230 seconds. We have a microservices architecture and can easily deploy different API's (i.e long running tasks...
Deploy a FastAPI Web Service to Back4app Containers What is Back4app? Back4appis one of the most popular Backend as a Service (BaaS) solutions. By using it, you’ll be able to significantly accelerate your development process and focus on the elementary aspects of your app — such as th...
The BentoML server is quite similar to FastAPI swagger UI. Let’s test our server using the “Try it out” option. Our AI service is working fine and has generated an accurate response: We can also access the AI server using the CURL command. Let’s ask a different question and provi...
When we introduced Heroku above, we detailed the key steps in its pipeline that are needed to create, configure, and deploy an app. Each of these steps has associated files containing the appropriate settings and commands. Configure the Build Step ...
Using the Transformers library, FastAPI, and astonishingly little code, we are going to create and deploy a very simplesentiment analysisapp. We will also see how extending this same approach to a more complex app would be quite straightforward. ...
FlaskandFastAPIare generic Python web frameworks used to deploy a wide variety of Python applications. Because of their simplicity and widespread adoption, many developers use them to deploy and run AI models in production. However, significant drawbacks to this approach include the following: ...
In the first approach, we utilize FastAPI's APIRouter to group related endpoints. We create separate routers for users and items, encapsulating their respective endpoints. This approach provides a clear separation of concerns and facilitates better organization of code. ...