# Common Issues

Even with a robust platform, users may occasionally encounter challenges. Below are the most common issues and how to resolve them.

#### Installation Problems

* Ensure Node.js, Python, and Docker are installed with supported versions
* Check for missing dependencies using `npm install` or `pip install -r requirements.txt`
* Use Docker logs or verbose mode for error visibility

#### Configuration Errors

* Double-check `.env` variables are set correctly
* Verify API keys and RPC endpoints are valid and reachable
* Ensure database connections and ports are open

#### Performance Issues

* Large dataset loads can be reduced with query filters
* Enable caching with Redis to prevent API overload
* Adjust resource allocation for local Docker services

#### API Limitations

* Monitor rate limits; upgrade plans allow more requests
* Ensure pagination and batching are implemented for large fetches
* Refer to status codes for API response diagnostics

#### Data Inconsistencies

* Sync issues may occur during heavy chain reorgs or RPC outages
* Use fallback RPC nodes when primary source is unstable
* Clear cache or restart services to reinitialize data fetch