Introduction
💡 Idea
Performance Bot was created when I needed a simple way to monitor my home server from outside my home, without using complicated commands.
At first, I considered building a web page, but I wanted to try something new. That’s when I came up with the idea of building a bot.
📋 Summary
To start my project, I needed to gather all the essential information from my server:
/system– System info/cpu– CPU info/memory– Memory info/disk– Disk info/network– Network info/docker– Docker info/sensors– Sensors info
After some research, I found two very useful Python libraries:
psutilfor gathering system infodocker, the Docker SDK for getting Docker info (images and containers)
⚙️ Implementation
With those libraries in mind, I started a WebSocket server using the FastAPI framework and began serving it on my localhost at port 8000.
Once I had the WebSocket server working, I started researching how to create a Telegram bot. I discovered a Telegram bot called TheBotFather, which lets you create and customize bot profiles and provides you with a token to work with.
After the bot was ready, I worked on the Dockerfile to make deployment easier, whether in the cloud or if the bot and backend are running on different servers. While working on the Dockerfile, I found that GitHub can help you create an image and push that image to Docker Hub automatically when you push to the GitHub repo.
📚 Documentation
Finally, I found mdBook, which helps me deploy documentation for the repo using Markdown files, making everything much easier.