Integrated AI-EduPlatform with Google Cloud Platform

2 min read

📅 2024-02-01 — Session: Integrated AI-EduPlatform with Google Cloud Platform

🕒 04:30–05:15
🏷️ Labels: GCP, Ai-Eduplatform, Database Management, Git, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the AI-EduPlatform software by integrating it with Google Cloud Platform (GCP) and improving its database management and deployment processes.

Key Activities

  • Bash Command Usage: Explored bash commands to copy directory structures and file contents, facilitating automation tasks.
  • AI-EduPlatform Analysis: Conducted a comprehensive analysis of the AI-EduPlatform’s technology stack, database management, AI integration, and front-end development to identify strengths and areas for enhancement.
  • GCP Integration Planning: Developed strategies for integrating the software with GCP, focusing on scalable hosting, AI integration, cloud storage, monitoring, and security.
  • GCP Integration Execution: Followed a detailed checklist to integrate GCP services, including database transition, deployment, and monitoring.
  • Git Repository Management: Executed steps to initialize and push a Git repository to GitHub, and troubleshoot common Git issues.
  • Database Transition: Transitioned the Database class from SQLite to Google Cloud SQL, choosing appropriate database engines and adjusting connection details.
  • Cloud Resource Management: Managed Google Cloud resources using the gcloud command-line tool, including project setup and Cloud SQL instance creation.

Achievements

  • Successfully integrated various Google Cloud Platform services into the AI-EduPlatform, enhancing its scalability and database management.
  • Resolved Git repository issues and ensured smooth version control processes.
  • Completed the transition from SQLite to Google Cloud SQL, improving database performance and integration.

Pending Tasks

  • Further evaluation of the AI-EduPlatform’s front-end development and user interface to align with the original vision.
  • Continuous monitoring and optimization of GCP services to ensure optimal performance and security.

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