Deploy a Python API With Docker and Kubernetes

Deploy a Python API With Docker and Kubernetes

Autoscale compute-intensive workloads to keep up with changing demand

Kubernetes lets you deploy multi-container applications across a cluster — either your own machines or in the cloud. An API is the gateway to your application, the interface that users (and even other services) can use to interact with it. Building an API needn’t be hard work, however. With FastAPI you can have a working system in minutes, and it's simple to debug and test at each stage as you package it for deployment.

In this article we cover:

  1. Building an OpenAPI-compatible interface in Python using FastAPI
  2. Packaging the API inside a Docker container
  3. Deploying to a local Kubernetes cluster
  4. Load testing using Locust
  5. Deploying to the cloud with Google Cloud Kubernetes Engine (GKE)

kubernetes programming python data-science

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