Abstract
Tianji is an open-source Digital Marketing & SEO project. Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives. Website analytics + Uptime Monitor + Server Status = Tianji. It is built using TypeScript, Docker. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.
1. Introduction
Website analytics + Uptime Monitor + Server Status = Tianji
During our observations of the website. We often need to use multiple applications together. For example, we need analysis tools such as GA/umami to check pv/uv and the number of visits to each page, we need an uptime monitor to check the network quality and connectivity of the server, and we need to use prometheus to obtain the status reported by the server to check the quality of the server. In addition, if we develop an application that allows open source deployment, we often need a telemetry system to help us collect the simplest information about other people's deployment situations.
I think these tools should serve the same purpose, so is there an application that can integrate these common needs in a lightweight way? After all, most of the time we don't need very professional and in-depth functions. But in order to achieve comprehensive monitoring, I need to install so many services.
2. Objective
Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives
This project demonstrates how TypeScript, Docker can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Node.js (LTS) and npm / yarn / pnpm
- VS Code or any code editor
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/msgbyte/tianji.git
cd tianjiFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Export reports to Google Sheets or PDF
- Schedule weekly automated reports
- Add competitor comparison
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- Which marketing or SEO problem does this tool solve?
- Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
- Which metrics or KPIs does it report and how are they calculated?
- How could the output help a business make decisions?
- How would you schedule it to run automatically?
9. Source Code & License
This project is developed by msgbyte and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.
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