2025 My Personal Project Tech Stack Upgrade Summary

Overview of Tech Stack Upgrades

This year, I upgraded the tech stack for all my personal projects. The key changes include:

• Operating System: Upgraded to Debian 12
• Infrastructure Automation: Introduced Ansible for server maintenance
• Programming Languages: Added Golang and Rust while continuing to use Python
• Frontend Framework: Fully adopted Next.js
• DevOps: Using GitHub Actions for CI/CD, combined with Docker and Linux Service for deployment
• Monitoring System: Implemented Grafana and Prometheus for server monitoring

Over the past 10 years, my personal projects primarily used Python + React/Vue + Shell scripts. This year’s upgrades further optimize this stack, enhancing automation, improving performance, and streamlining development workflows.

Personal Website & Blog Upgrades

Personal Website & Resume Site

In January, I rewrote my personal website and resume site using Next.js:

• Personal Website: https://wangpeifeng.com/
• Resume Website: https://resume.wangpeifeng.com/

Blog Refactoring

Previously, my blog used Python + a database. This year, I rewrote it using Rust:

• Removed the database, replacing it with file storage + Redis
• Improved performance and reduced database dependency
• Kept Next.js as the frontend framework

Blog: https://blog.wangpeifeng.com/

New Test Project: U.S. & Japanese Stock Market Data Analysis

I developed a U.S. & Japanese stock market data analysis test project with the following tech stack:

• Data Collection & Processing: Python for web scraping and data cleaning
• Web Server: Backend API implemented in Golang
• Frontend: Next.js for data visualization

Project URL: https://gloden.1funlab.com/dashboard

CI/CD Automation

All projects now use GitHub Actions for CI/CD, with Slack notifications for deployment updates.

Server Maintenance Upgrades

Server Environment

I currently maintain two personal VPS servers, both upgraded to Debian 12.

Server Management Optimization

• Introduced Ansible for automation, eliminating manual package management
• Installed only Python and Docker on the servers—Node, Ruby, and other dependencies are now managed via Docker

Deployment Strategies for Different Projects

• Non-SSR Frontend Projects: CI compiles and transfers static files via scp
• SSR Frontend Projects: CI compiles, transfers files via scp, and deploys with Docker
• Python Projects: CI builds and deploys using Docker
• Golang & Ruby Projects: CI builds, transfers binary files via scp, and runs them using Linux Service

Server Monitoring

Currently, I use Grafana + Prometheus for server monitoring, primarily tracking node_exporter metrics.

Summary

This tech stack upgrade significantly enhances maintainability, scalability, and automation across my projects. Moving forward, I may further optimize the monitoring setup and explore additional technological innovations.