From local development to Kubernetes — Cluster, Helm, HTTPS, CI/CD, GitOps, Kustomize, ArgoCD — Part[1]

This page summarizes the projects mentioned and recommended in the original post on

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  • kubernetes-demo-app

    Basic web application using FastAPI ready to be deployed on Kubernetes

    The sample app in the **repo** is a basic FastAPI application that I extracted from official docs, but I added a PostgreSQL database to make the whole tutorial a bit more challenging. The application is very simple, it exposes some endpoints to create Users and Items.

  • charts

    Bitnami Helm Charts (by bitnami)

    After installing Helm locally, you need to find the chart that you need to install. I usually go with *Bitnami *charts. To install any chart with helm, we first need to add the repo from which we want to pull the charts, and then we can install after finding the chart that we want to.

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • kind

    Kubernetes IN Docker - local clusters for testing Kubernetes

    To setup a Kubernetes cluster you can decide if you want to create locally with minikube or kind, or create it in a cloud provider like AWS, GCP, DigitalOcean, etc. in their respective platforms for Kubernetes like EKS, GKE, DOKS.

  • helm

    The Kubernetes Package Manager

    There are several ways how you can deploy a database in the cluster (you can also use a remote database hosted in the cloud, but we want to make this practice more challenging so we can touch more concepts regarding Kubernetes). You can manually write all the manifests (deployment, service, secrets, volumes, etc) or you can use **Helm **to deploy the database and many other services. I highly recommend using helm charts (verified ones) to deploy this kind of service instead of writing these by yourself.

  • fastapi

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

    To save time here, I have prepared a basic Python application developed on FastAPI and if you want to follow along you can get the code from GitHub Repository here.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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