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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

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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 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