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innometrics-frontend-2023's Introduction

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Innometrics Frontend

Track, evaluate and analyze the software development process. This system provides a visualisation of users' working activity statistics. An intelligent, customizable dashboard to visualize and manipulate software engineering data based on requirements and preferences coming from the industry. Stores information from:

  • Desktop clients and browser extensions about users' activities (which programs, tabs and for how long user has used it)
  • Remote repositories about developers' source code quality metrics

Dashboard

Gaining insights from the development process has never been easier. Dashboardโ€™s primary purpose is to share important information in terms of different metrics to the end user.

Features

  • Charts

  • Top applications per person daily
  • Accumulated activities
  • Accumulated total time spent
  • Category of activities
    • Development
    • Education
    • Communication
    • Utilities
    • Management
    • Entertainment

Links

Innometrics website

Monitoring

Installation

  1. yarn
  2. yarn start to boot up a development server
  3. Visit the link found in your terminal after running yarn start.

Automated Deploy

Virtual Machine recommendations

  • Platform% Intel Ice Lake
  • vCPU 2
  • RAM 2 GB
  • Disk space 10 GB

The process

Here are the steps to deploy those applications on your machine with proper automated deployment

  • Install Dokku on your server machine
  • Add the DockerHub credentials to the GitHub secrets
  • Create applications and git repos on Dokku:
    sudo dokku apps:create <appname>
    sudo dokku git:initialize  <appname>
    
  • Change appname in github workflow to the one of your choice.
  • Add private ssh key of your machine to github actions secrets using key SSH_PRIVATE_KEY
  • Change dokku server ip in repository workflow
  • Change docker registry in repository workflow
  • Then merge/push to main branch
  • Profit.

Have Question or Feedback?

Contact us via email [email protected]

Acknowledgement

aldeeyar thanks for Automated Deploy documentation

innometrics-frontend-2023's People

Contributors

ease-ln avatar nailyav avatar

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