Helm is a package manager for Kubernetes that simplifies the deployment and management of applications. It provides a templating engine called Helm Charts, which allows you to define, install, and manage complex applications on Kubernetes. In this tutorial, we will explore the basics of Helm and Helm Charts. Prerequisites Before getting…

Installing kubernetes There are several tools that allow you to use Kubernetes locally: Minikube: Minikube is a tool that enables you to run a single-node Kubernetes cluster on your local machine. It supports various Kubernetes features and can be used to test and develop applications locally. Kind: Kind, short for…

Explaining Kubernetes Introduction As a software developer, you may have heard of Kubernetes, but what exactly is it and how can it help you in your development work? …

Digging deeper into Kafka In part 2, we have created a simple FastAPI application that integrates with Apache Kafka to produce messages whenever an operation occurs. We have used Docker and Docker Compose to containerise the application. We have produced a test message and confirmed that it was produced using…

Setting up FastAPI with Kafka and docker compose Full Code on github here Introduction In this tutorial, we will build a simple FastAPI application that integrates with Apache Kafka to produce messages whenever an operation occurs. We will use Docker to containerize the application and Poetry for dependency management. …

Setting up Kafka and Docker compose Full Code on github here Introduction In part 1, we will set up a single-node Kafka and Zookeeper environment using Docker Compose. We will then produce and consume test messages using the Kafka console producer and consumer. In part 2, we will add a…

FastAPI and Beanie: A Simple Guide to Building RESTful APIs with MongoDB fully async Introduction FastAPI is a modern web framework for building APIs with Python, which is fast, easy to use, and comes with automatic validation and documentation. …

If you go through the FastAPI docs, you will see that the recommended way to use SQLAlchemy asynchronously is by using the package databases and SQLAlchemy core since SQLAlchemy ORM did not have support for async operations. I have already created a tutorial describing how to use FastAPI with databases…

[Tutorial] Here is how to work with the new async SQLAlchemy ORM I think the whole python web development community has been waiting for this change for a while and I personally was extremely happy to hear about the long awaited async orm functionality in SQLAlchemy when the beta version…