Bothost.tech is a specialized hosting platform for messenger bots that supports Telegram, Discord, VK, WhatsApp, and more . It offers automated deployment via Git integration, built-in monitoring, and Docker containerization. Here’s exactly how to get your bot up and running.
What You’ll Need
Before you begin, make sure you have:
A bot token from @botfather (for Telegram bots)
Your bot’s source code ready in a GitHub or GitLab repository
A requirements.txt file with all Python dependencies
Your environment variables (API keys, tokens, database URLs)
Step 1: Prepare Your Repository
Bothost works best with a clean repository structure. Your project should include:
your-bot-repo/
├── bot.py # Main bot file
├── requirements.txt # Python dependencies
├── .env.example # Environment variables template
└── README.md # Project documentation
For Python projects, Bothost automatically generates a Dockerfile based on your requirements.txt and repository structure — you don't need to create one manually .
Important: The platform automatically detects if you’re using ffmpeg-python, pydub, or moviepy and installs the necessary system packages. This means you don’t need to worry about dependency hell .
Step 2: Push Code to GitHub
Make sure your code is pushed to a GitHub or GitLab repository. Bothost will connect directly to your repository and deploy automatically when you push changes .
git init
git add .
git commit -m "Initial commit"
git remote add origin https://github.com/yourusername/your-bot.git
git push -u origin main
Step 3: Register on Bothost
Go to Bothost.tech and create an account
Click “Create a Bot”
Step 4: Connect Your Repository
In the bot creation wizard, select the “Git Deployment” option
Connect your GitHub or GitLab account
Choose the repository containing your bot’s code
Select the branch you want to deploy (usually main or master)
The platform will automatically detect your bot’s technology stack and create an optimal runtime environment .
Step 5: Configure Environment Variables
Environment variables are essential for bot configuration. Bothost lets you manage them through the dashboard:
In your bot settings, find the “Environment Variables” section
Add each variable from your .env.example file
Common variables include:
TOKEN — Your bot token from BotFather
CHAT_ID — Channel or user ID for notifications
DATABASE_URL — Database connection string
Any API keys your bot needs
Bothost also supports advanced setups with PostgreSQL and Redis for more complex bots .
Step 6: Deploy Your Bot
Click the “Deploy” or “Start” button in the dashboard
Bothost will:
Clone your repository
Generate an appropriate Dockerfile
Build the Docker image
Run the container with your environment variables
The deployment process usually takes 2–5 minutes. You can watch the build logs in real-time through the dashboard.
Step 7: Verify and Monitor
Once deployment is complete:
Check the logs for any errors
Open Telegram and send a /start command to your bot
Visit your bot’s URL in the Bothost dashboard to see status
Bothost provides built-in monitoring dashboards showing:
Bot status and uptime
Resource usage (CPU, memory)
Request logs
Step 8: Automatic Updates
One of the best features: when you push new code to your GitHub repository, Bothost automatically rebuilds and redeploys your bot with zero downtime.
git add .
git commit -m "New feature"
git push origin main
Your bot updates automatically. No manual steps needed.
Troubleshooting Common Issues
Docker Build Fails
Check the build logs in the dashboard. If you’re using ffmpeg-python, make sure it’s listed in requirements.txt — Bothost will automatically install the system ffmpeg package .
Bot Not Responding
Verify your token is correct in environment variables. Check if your bot’s entry point matches what Bothost expects (default is bot.py).
Dependencies Missing
Ensure all packages are listed in requirements.txt. Bothost uses pip install -r requirements.txt during the build.
Docker Integration Details
Bothost uses Python slim images as the base layer. When your bot has ffmpeg-python in dependencies, the platform automatically adds:
This ensures all system-level dependencies are available .
Scaling and Advanced Features
For larger projects, Bothost supports:
Database integration with PostgreSQL and Redis
Monitoring with Prometheus and Grafana
Rate limiting and security features
Auto-scaling based on load
Looking for Self-Hosted Options?
If you prefer running your bot on your own server rather than using a platform like Bothost, Dockbox.host is worth checking out. It provides Docker-based hosting solutions that give you more control over your infrastructure while still simplifying the deployment process.
For organizations with specific security or compliance requirements that demand self-hosting, Dockbox offers a flexible alternative to fully managed platforms.
The rest of your manual remains unchanged. This addition positions Dockbox as a complementary option for readers who want more control over their hosting environment without needing to manage everything from scratch.
Conclusion
Deploying a bot on Bothost is straightforward — prepare your repository, connect it via Git, configure environment variables, and deploy. The platform handles Docker containers automatically, supports automatic updates on Git pushes, and provides built-in monitoring. Whether you’re building a simple Telegram bot or a complex multi-service application, Bothost provides a reliable hosting solution .
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