/ci_cd_on_pyhon

Primary LanguagePython

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Python application test with Github Actions

Overview

With this project we will use has an scaffolding with python web service. we will learn how to use an complete CI CD.

It can be useful to work in another projects.

Project Plan

https://trello.com/b/GI6auPFF/udacity-devops-course

Instructions

Flow of Deployment

Diagram of deployment

  • Project running on Azure App Service

  • Project cloned into Azure Cloud Shell All tests passed

  • Passing tests that are displayed after running the make all command from the Makefile

All tests passed

  • Output of a test run

All tests passed

  • Output of a test run

Locust Tests

  • Successful deploy of the project in Azure Pipelines.

Successful deploy

  • Azure Panel

Working panel

  • Running Azure App Service from Azure Pipelines automatic deployment

Completed with Success azure pipelines

  • Successful prediction from deployed flask app in Azure Cloud Shell. The output should look similar to this:

Output sample from an successful deployed prediction app

  • Output of streamed log files from deployed application
2020-10-15T17:16:04.252803672Z [2020-10-15 17:16:04,252] INFO in app: JSON payload: %s json_payload
2020-10-15T17:16:04.262692871Z [2020-10-15 17:16:04,262] INFO in app: inference payload DataFrame: %s inference_payload
2020-10-15T17:16:04.263385471Z [2020-10-15 17:16:04,262] INFO in app: Scaling Payload: %s payload
2020-10-15T17:16:04.291993268Z 172.16.0.1 - - [15/Oct/2020:17:16:04 +0000] "POST /predict HTTP/1.1" 200 35 "-" "curl/7.64.1"
2020-10-15T17:16:04.300275067Z 172.16.0.1 - - [15/Oct/2020:17:16:04 +0000] "GET / HTTP/1.1" 200 32 "-" "ReadyForRequest/1.0 (AppInit)"

Enhancements

At future we can improve building time with an image installed pandas, it need a huge time to download and install.

Include better tests

Include realtime Service monitoring

Demo

https://youtu.be/Rc7CJVCeL9s