Project Description

The aim of the project is to run a sample microservice app in Kubernetes. A simple app will be written in Python and work as an online store comprising of frontend, orders, and products services. (could be more!!)

  • a frontend (a simple web page, using flask)
  • a product service (an inventory of the products with description and cost)
  • an orders service (recording the orders with order numbers, items and cost)

Further questions to answer/explore:

  • How this app is going to look
  • Which components to setup in k8s (a deployment and service for each microservice, what more?)
  • How the APIs are going to be exposed (so the services can talk to each other. Right now, I only know how to expose the frontend on 8080 for user interaction).

Goals for this Hackweek

The project will have several learning goals:

  • How to breakdown a monolith to microservices.
  • Understand how Kubernetes works.
  • Learn how to design Kubernetes topology for containerized applications.

Looking for hackers with the skills:

python kubernetes

This project is part of:

Hack Week 20

Activity

  • about 3 years ago: epromislow started this project.
  • over 3 years ago: aqsa_malik added keyword "python" to this project.
  • over 3 years ago: aqsa_malik added keyword "kubernetes" to this project.
  • over 3 years ago: aqsa_malik originated this project.

  • Comments

    • hennevogel
      over 3 years ago by hennevogel | Reply

      hey there

      • aqsa_malik
        about 3 years ago by aqsa_malik | Reply

        hey

    • epromislow
      about 3 years ago by epromislow | Reply

      I've been reading https://learning.oreilly.com/library/view/cloud-native-patterns/9781617294297/ but not working through it because the examples are all in java, and I don't want to just use the spring boot platform to hide all the details. Would be interested in the points you've listed, as well as implementing a quick-and-dirty chaos monkey to kill off random/selected connections and nodes and monitor what happens, as well as see what works for fast recoveries.

      I'm at UTC-0700

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