# Recommended Resources
Server resource recommendations for Laravel applications vary based on traffic and complexity. A practical approach is to start with a modest setup and scale resources (CPU, RAM, storage) as your application's needs grow
.
Below are general recommendations for small, medium, large, and enterprise-level Laravel applications:
| ***Resource Type *** | ***Small Application (e.g., blog, simple internal tool)*** | ***Medium Application (e.g., e-commerce, CMS)*** | ***Large Application (e.g., social network, SaaS)*** | ***Enterprise Application (e.g., mission-critical, very high traffic)*** |
|---|
| **CPU** | 1-2 vCPUs | 2-4 vCPUs | 4-8 vCPUs | 8+ vCPUs |
| **Server RAM (Total)** | 2-4 GB | 4-8 GB | 8-16 GB | 16-32+ GB |
| **RAM Allocated to PHP** | 512 MB - 1 GB (memory limit per script) | 1-2 GB | 2-4 GB | 4-8+ GB |
| **RAM Allocated to DB Server** | 512 MB - 1 GB | 1-2 GB | 2-4 GB | 4-8+ GB |
| **Hard Disk Space** | 20-50 GB SSD | 50-100 GB SSD | 100-200 GB SSD (or more) | 200 GB - 1 TB SSD (or more) |
**Key Considerations**
- **Traffic and Complexity** The primary drivers for resource needs are the expected traffic volume and the complexity of application logic.
- **Database Performance** A well-designed database and efficient queries are critical. Ensure sufficient RAM for the database server (especially for the InnoDB buffer pool in MySQL) to optimize data access speed.
- **Caching and Queues** Implementing caching mechanisms (like [Redis](https://redis.io/) or Memcached) and using Laravel's built-in queue system to offload resource-intensive tasks can significantly improve performance and reduce immediate resource consumption.
- **Disk Type** Using SSD or NVMe storage is highly recommended for better performance compared to traditional hard drives.
- **OS Overhead** Always reserve an additional amount of RAM (e.g., 1 GB for the OS by default) to ensure system stability.
- **Monitoring** Continuously monitor CPU and memory usage to identify bottlenecks and scale resources proactively rather than waiting for performance issues to arise.
- **Separation of Concerns** For large or enterprise applications, consider running the web application and the database on separate, dedicated servers to optimize performance and availability