System Requirements

To ensure optimal performance for executing API requests and managing AI processes, the following server requirements are recommended:

Server Specifications

• Processor: Quad-core CPU (Intel Xeon or AMD EPYC preferred) or better.

• Memory: Minimum 16GB RAM (32GB recommended for high-volume applications).

• Storage: SSD storage with at least 500GB of available space.

• Network: High-speed internet connection with a minimum bandwidth of 100 Mbps and low latency.

Supported Environments

• Cloud Providers:

  • AWS (Amazon Web Services)

  • Google Cloud Platform (GCP)

  • Microsoft Azure

  • DigitalOcean

• On-Premises:

  • Virtual Machines (VMs) or dedicated servers with compatible specifications.

Software Requirements

• Operating System:

  • Ubuntu 20.04 LTS or later (preferred)

  • CentOS 8 or equivalent

• Runtime Environment:

  • Docker (latest version) for containerized deployments.

  • Node.js v16 or later (for custom integrations).

API Deployment

• Load Balancing:

  • Use a load balancer (e.g., NGINX, HAProxy) to distribute API traffic across servers.

• Monitoring Tools:

  • Implement tools like Prometheus or Grafana to monitor server health and API performance.

• Database Support:

  • PostgreSQL or MySQL for storing persistent data.

Security Best Practices

• SSL/TLS Certificates:

  • Ensure all API endpoints are secured with SSL/TLS.

• Firewall Configuration:

  • Configure firewalls to limit access to authorized IPs.

• Access Controls:

  • Use API keys and authentication tokens to regulate access.

By following these system requirements, you can ensure a seamless and efficient experience. For large-scale applications, consider scaling your infrastructure based on demand to handle increased API traffic.