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PreprintCC BY 4.0Zenodo

Automated Database Backup and Machine Learning Training Integration via Telegram Bot API in Django Enterprise Systems

  • Fathir Afatar1
  1. 1Independent Researcher
Open at sourcePDFDOICite

Abstract

Uninterrupted operations and data resilience are critical components of enterprise management systems. This paper presents an integrated server-side automation framework for a cloud-hosted Django application. By combining Linux cron jobs for scheduled PostgreSQL backups with lightweight machine learning training pipelines, the system automates both maintenance and predictive analytics workflows. Furthermore, the Telegram Bot API is utilized as an asynchronous notification interface, delivering real-time database health alerts, backup confirmations, and machine learning model insights directly to system administrators.

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Cite

BibTeXRIS
BibTeX
@misc{afatar2026automated,
  title = {{Automated Database Backup and Machine Learning Training Integration via Telegram Bot API in Django Enterprise Systems}},
  author = {Fathir Afatar},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23644228},
  url = {https://zenodo.org/records/23644228},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Automated Database Backup and Machine Learning Training Integration via Telegram Bot API in Django Enterprise Systems
AU  - Fathir Afatar
PY  - 2026
DA  - 2026/10/25
PB  - Zenodo
DO  - 10.5281/zenodo.23644228
UR  - https://zenodo.org/records/23644228
AB  - Uninterrupted operations and data resilience are critical components of enterprise management systems. This paper presents an integrated server-side automation framework for a cloud-hosted Django application. By combining Linux cron jobs for scheduled PostgreSQL backups with lightweight machine learning training pipelines, the system automates both maintenance and predictive analytics workflows. Furthermore, the Telegram Bot API is utilized as an asynchronous notification interface, delivering real-time database health alerts, backup confirmations, and machine learning model insights directly to system administrators.
ER  -