📦 Flexible Deployment Options
🚀 Deployment Options
Ready to launch BigBull.AI? We've designed it to be flexible, so you can deploy it however it suits you best. Whether you're testing locally or setting up for high-volume production, we’ve got you covered. Let’s explore the options!
🏠 Running Locally
On Your Own Machine If you’re looking to experiment or develop new strategies, running BigBull.AI locally is the perfect starting point. It’s quick to set up and ideal for testing and learning the platform’s features.
Advantages: 🔹 Fast setup using pnpm and Node.js 🔹 No server costs or dependency issues 🔹 Full access to logs and debugging tools
How to Set Up:
Clone the repository
Install dependencies
Configure environment variables
Start the server and web client
✅ Check out our Quick Start Guide for step-by-step instructions.
☁️ Cloud Deployment
Want to keep BigBull.AI running 24/7 with scalability and performance? Here are some recommended cloud deployment options:
1. Vercel 🌐
Best for serverless deployment and global reach. Vercel makes it easy to deploy and scale automatically with minimal configuration. Why Vercel? ✅ Fast global CDN for low-latency trading ✅ Easy rollback and versioning ✅ Free tier available for testing
2. Heroku 🚀
A developer-friendly option for quick deployment. Ideal for smaller to mid-sized projects with automatic scaling and logging. Why Heroku? ✅ Simple Git-based deployment ✅ Built-in monitoring and scaling ✅ Free tier available for prototypes
3. Azure ☁️
If you need enterprise-level infrastructure, Azure is your go-to. It’s secure and powerful, with excellent AI and data integration capabilities. Why Azure? ✅ Strong security and compliance ✅ Native AI and machine learning tools ✅ Pay-as-you-go model
4. Kubernetes 🐳
For complex, high-traffic setups, Kubernetes offers containerized deployment with auto-scaling and load balancing. Why Kubernetes? ✅ Full control over deployment and scaling ✅ Ideal for handling high-frequency trading ✅ Supports custom container configurations
🛠️ Managing Your Setup
Regardless of your deployment choice, BigBull.AI’s modular architecture ensures that you can easily manage and scale your setup without downtime.
Configuration Tools: 🔹 Docker – For containerized deployment 🔹 PM2 – For process management and auto-restarts 🔹 Terraform – For infrastructure automation
Monitoring & Logs: 🔹 Use Grafana for real-time performance monitoring 🔹 Set up Loki for log aggregation and analysis
📚 Need More Help?
Detailed Deployment Guide – Check out our documentation for platform-specific setups.
Video Tutorial – Watch our guide on deploying BigBull.AI with Kubernetes and Docker.
Community Support – Join our Discord for expert advice and live troubleshooting.
✨ Choose the deployment strategy that fits your goals and start trading with BigBull.AI today! 🚀
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