Automated CI/CD Implementation for ML Ops

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Automated CI/CD Implementation for ML Ops

  • Day: 2024-04-09
  • Time: 00:00 to 01:40
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: CI/CD, Github Actions, Ml Ops, Automation, Python

Description

Session Goal

The primary objective was to establish a robust CI/CD pipeline for ML Ops using GitHub Actions, focusing on automating data updates, model retraining, and workflow orchestration.

Key Activities

  • Automatización de Actualizaciones en ML Ops: Developed a strategy for automated workflow management in ML Ops, covering data detection to model updates.
  • Implementación de CI/CD con GitHub Actions: Implemented CI/CD using GitHub Actions to automate data preprocessing and model retraining.
  • Automatización de Actualización de Microdatos: Configured GitHub Actions to automate microdata updates, including scheduling and dependency management.
  • Diseño de Procesos Robustos en ML Ops: Planned a modular approach for ML Ops processes to enhance scalability and collaboration.
  • Mejoras en Scripts de ML Ops: Proposed improvements for ML Ops scripts focusing on modularity and error handling.
  • Implementación de Workflows en GitHub Actions: Detailed the creation of workflows for data preprocessing and model updates in ML Ops.
  • Uso de __init__.py en Proyectos de Python: Explained the use of __init__.py for better project structure in Python.
  • Reconciliación de Cambios en Git: Provided a guide for synchronizing local and remote Git repositories.
  • Limpiar Repositorio de Git y Actualizar .gitignore: Outlined steps to clean Git repositories and update .gitignore files.

Achievements

  • Established a comprehensive CI/CD pipeline using GitHub Actions for ML Ops.
  • Enhanced script modularity and error handling in ML Ops projects.
  • Improved Git repository management and synchronization.

Pending Tasks

  • Further testing of the CI/CD workflows to ensure reliability and efficiency.
  • Documentation of the implemented workflows for team collaboration.

Evidence

  • source_file=2024-04-09.sessions.jsonl, line_number=1, event_count=0, session_id=dd5402eede44905c4f652a74ab4999f091503ebfd13ecfdd4ec21d56ad7cf420
  • event_ids: []

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