In my post “Using gRPC in Python,” we wrote a basic gRPC server implementing a users service. We are going to expand on it and explore more gRPC concepts, such as secure client-server communication via self-signed SSL certificates, implementing gRPC middleware (or interceptors), and error handling. We will be using Python 3.6 for our demos in this article. The git ...

gRPC is an HTTP/2-based Remote Procedure Call (RPC) framework that uses protocol buffers (protobuf) as the underlying data serialization framework. It is an alternative to other language-neutral RPC frameworks such as Apache Thrift and Apache Arvo. In the first part of this series on using gRPC in Python, we will implement a gRPC service in Python. Our gRPC service will ...

In my last article, we saw how we can integrate the Prometheus monitoring system with synchronous Python applications. We focused on WSGI applications such as those written in Flask or Django and deployed using uwsgi or gunicorn. In this post, we will discuss integrating Prometheus with asynchronous web applications written using aiohttp, an HTTP client/server framework built upon asyncio. Software ...

As soon as we deploy any nontrivial web application, or any software application for that matter, we soon (or should) become interested in how this application is performing in the wild. If it’s a web application, we want to know how many requests we are receiving, how much time is spent serving a request on average and so on. These ...