NEW · DEPLOYMENT COURSE

Go From `localhost` to 24/7 Production

Name: Go From `localhost` to 24/7 Production
Price: 247 USD

Stop babysitting your script. Learn the essential skills to deploy your Python trading bot on a server so it runs reliably, 24/7, without your constant attention.

That feeling when a great trade happens overnight... and your script wasn't running.

💎 Buy for $247

🔴 Live proof:

We run this system in our own production environment; you can see the live results for yourself.

→ https://nexus-bot.pro/rvv

📚 10 lessons

1. Dockerizing Your Python Trading Bot
Create a minimal, secure Docker image for your bot using multi-stage builds. Isolate dependencies and ensure consistent execution anywhere.
2. Auto-Restarting Your Bot with systemd
Write a robust systemd service file to manage your Docker container. Ensure your bot starts on boot and automatically restarts if it crashes.
3. Secure Access with Nginx & Let's Encrypt
Set up Nginx as a reverse proxy. We'll generate and auto-renew a free SSL certificate with Let's Encrypt for secure HTTPS communication.
4. Instrumenting Your Bot with Prometheus
Integrate the Prometheus client library into your Python code. Expose custom metrics like P&L, trade count, and API latency.
5. Visualizing Performance with Grafana
Connect Grafana to your Prometheus data source. Build a real-time dashboard to visualize your bot's key performance indicators (KPIs).
6. Centralized Logging with Loki & Promtail
Stop SSHing to check logs. Configure Promtail to ship container logs to Loki and query them directly within your Grafana dashboard.
7. Automated Backups to Backblaze B2
Protect your trade history and configuration. Create a cron job script to automatically back up critical data to affordable B2 cloud storage.
8. CI/CD with GitHub Actions
Build a pipeline that automatically tests your code, builds a new Docker image, and deploys it to your server on every `git push`.
9. Designing a Multi-Bot Architecture
Move beyond a single script. Learn patterns for running multiple, independently configured trading bots on a single server.
10. Full Stack Deployment with Docker Compose
Tie it all together. Use a single Docker Compose file to define and run your entire stack: bot, Nginx, Prometheus, and Grafana.

✅ What you get

Step-by-step guides with copy-paste ready code examples and configuration files.
A complete, production-grade deployment setup for a Python application.
Reusable patterns for Docker, systemd, Nginx, and CI/CD for future projects.
Actionable checklists and templates for monitoring, logging, and backups.

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❓ FAQ

What are the prerequisites for Production Mastery?

You should have a trading bot written in Python that you want to deploy. This guide focuses on deployment, not bot creation. You don't need prior experience with servers or DevOps; we'll guide you through setting up everything from scratch.

Is this a one-time payment or a subscription?

It's a one-time purchase of $247. This gives you lifetime access to all the course materials, including any future updates and additions. There are no hidden fees or recurring subscriptions.

What if I'm not satisfied? What is your refund policy?

We offer a 3-day, no-questions-asked refund policy. If you review the material and decide it's not the right fit for your needs, simply contact us within 3 days of your purchase for a full refund.

What kind of support is included if I get stuck?

Your purchase includes access to our private community. You can ask questions, get feedback, and connect with other developers who are also deploying their trading bots. The instructor is active in the community to help you overcome any hurdles.

Will the content be updated, and are updates included?

Yes, all future updates are included with your purchase. As deployment technologies and best practices evolve, we will update the material to ensure it remains relevant and effective. You will always have access to the latest version at no extra cost.