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=== Performance Tuning for Grass Browser Farming on Rental Servers ===

This article provides a guide to optimizing server configurations for efficient Grass browser farming on rented server infrastructure.  Grass farming relies on utilizing idle browser resources, and a well-tuned server is crucial for maximizing yield and minimizing costs. This guide assumes a basic understanding of server administration and the [[Grass project]] itself.  We will cover key areas including operating system choices, web server configuration, database optimization, and resource monitoring.  This is geared towards newcomers, aiming to provide a clear path to improved performance.

== 1. Operating System Selection ==

The choice of operating system impacts performance and resource usage.  While several distributions can be used, we recommend the following based on stability and resource efficiency.

{| class="wikitable"
! Operating System
! Recommended Use Case
! Notes
|-
| Ubuntu Server 22.04 LTS
| General Purpose, Beginner-Friendly
| Widely supported, large community, good documentation.  Consider the minimal install option to reduce overhead.
|-
| Debian 11 (Bullseye)
| Stability Focused
| Known for reliability, but may require more manual configuration than Ubuntu.
|-
| CentOS Stream 9
| Advanced Users, Red Hat Ecosystem
| Provides a rolling release model, good for frequent updates.  Requires familiarity with Red Hat-based systems.
|}

It is *critical* to keep your operating system updated with the latest security patches.  Use the package manager appropriate for your distribution (e.g., `apt update && apt upgrade` for Debian/Ubuntu, `dnf update` for CentOS).  Automated security updates are highly recommended, but monitor them carefully to avoid unexpected downtime.  Refer to your distribution’s documentation for details on configuring automated updates. See [[Operating System Security]] for more information.

== 2. Web Server Configuration (Nginx) ==

Nginx is the preferred web server for most Grass farming setups due to its efficiency and low resource consumption.  We'll focus on tuning Nginx for optimal performance.

{| class="wikitable"
! Setting
! Description
! Recommended Value
|-
| `worker_processes`
| Number of worker processes.
| Number of CPU cores.
|-
| `worker_connections`
| Maximum number of connections per worker process.
| 1024 - 4096 (adjust based on server RAM)
|-
| `keepalive_timeout`
| Timeout for keep-alive connections.
| 65s
|-
| `gzip`
| Enable Gzip compression.
| On
|-
| `gzip_types`
| File types to compress.
| `text/plain text/css application/json application/javascript text/xml application/xml application/x-javascript`
|}

The Nginx configuration file is typically located in `/etc/nginx/nginx.conf` or `/etc/nginx/conf.d/`.  Adjust the values above based on your server's resources.  After making changes, always test the configuration with `nginx -t` before reloading or restarting the service (`systemctl reload nginx` or `systemctl restart nginx`).  See [[Nginx Configuration]] for advanced configuration options.  Consider using a reverse proxy setup with [[Load Balancing]] if you scale to multiple servers.

== 3. Database Optimization (MariaDB/MySQL) ==

Grass farming often involves storing data about browser sessions and earnings.  A properly configured database is essential.  MariaDB is generally preferred over MySQL due to its open-source nature and performance improvements.

{| class="wikitable"
! Setting
! Description
! Recommended Value
|-
| `innodb_buffer_pool_size`
| Amount of RAM allocated to the InnoDB buffer pool.
| 50-80% of total server RAM
|-
| `query_cache_size`
| Size of the query cache (consider disabling in MariaDB 10.4+).
| 0 (or a small value if enabled)
|-
| `max_connections`
| Maximum number of simultaneous client connections.
| 150-300 (adjust based on expected load)
|-
| `table_open_cache`
| Number of table definitions cached.
| 2000-4000
|}

These settings are adjusted in the MariaDB/MySQL configuration file (typically `/etc/mysql/my.cnf` or `/etc/my.cnf`).  Remember to restart the database service after making changes (`systemctl restart mariadb` or `systemctl restart mysql`).  Regular database maintenance, including optimizing tables and running backups, is crucial.  See [[Database Administration]] for details.  Proper indexing of your database tables will significantly improve query performance.  Consider using a database [[Connection Pooling]] solution for increased efficiency.

== 4. Resource Monitoring and Adjustment ==

Continuous monitoring of server resources is paramount.  Tools like `top`, `htop`, `vmstat`, and `iostat` provide real-time insights into CPU usage, memory consumption, disk I/O, and network traffic.  

*   **CPU Usage:**  High CPU usage may indicate inefficient code or insufficient resources.
*   **Memory Usage:**  Monitor for memory leaks or excessive memory consumption.  Consider adding swap space if necessary.  See [[Memory Management]] for more information.
*   **Disk I/O:**  Slow disk I/O can bottleneck performance.  Consider using SSDs instead of traditional HDDs.
*   **Network Traffic:**  Monitor network bandwidth usage to ensure sufficient capacity.

Based on your monitoring data, adjust the settings described in sections 2 and 3 accordingly.  Regularly review logs for errors and warnings.  Consider using a more sophisticated monitoring solution like [[Prometheus]] and [[Grafana]] for historical data analysis and alerting.

== 5. Security Considerations ==

Always prioritize security.  Use strong passwords, keep software updated, and configure a firewall (e.g., `ufw` on Ubuntu/Debian, `firewalld` on CentOS).  Regularly audit your server for vulnerabilities.  See [[Server Security Best Practices]].  Disable unnecessary services and ports.  Use SSH keys instead of passwords for remote access.



[[Grass Network]]
[[Server Administration]]
[[Linux Server Hardening]]
[[Performance Monitoring]]
[[Web Server Security]]
[[Database Security]]
[[Nginx Tuning]]
[[MariaDB Optimization]]
[[Resource Management]]
[[Troubleshooting Server Issues]]
[[Server Scaling]]
[[Command Line Basics]]
[[Firewall Configuration]]
[[Log Analysis]]
[[Operating System Security]]
[[Load Balancing]]
[[Connection Pooling]]

[[Category:Server Configurations]]


== Intel-Based Server Configurations ==
{| class="wikitable"
! Configuration
! Specifications
! Benchmark
|-
| [[Core i7-6700K/7700 Server]]
| 64 GB DDR4, NVMe SSD 2 x 512 GB
| CPU Benchmark: 8046
|-
| [[Core i7-8700 Server]]
| 64 GB DDR4, NVMe SSD 2x1 TB
| CPU Benchmark: 13124
|-
| [[Core i9-9900K Server]]
| 128 GB DDR4, NVMe SSD 2 x 1 TB
| CPU Benchmark: 49969
|-
| [[Core i9-13900 Server (64GB)]]
| 64 GB RAM, 2x2 TB NVMe SSD
| 
|-
| [[Core i9-13900 Server (128GB)]]
| 128 GB RAM, 2x2 TB NVMe SSD
| 
|-
| [[Core i5-13500 Server (64GB)]]
| 64 GB RAM, 2x500 GB NVMe SSD
| 
|-
| [[Core i5-13500 Server (128GB)]]
| 128 GB RAM, 2x500 GB NVMe SSD
| 
|-
| [[Core i5-13500 Workstation]]
| 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000
| 
|}

== AMD-Based Server Configurations ==
{| class="wikitable"
! Configuration
! Specifications
! Benchmark
|-
| [[Ryzen 5 3600 Server]]
| 64 GB RAM, 2x480 GB NVMe
| CPU Benchmark: 17849
|-
| [[Ryzen 7 7700 Server]]
| 64 GB DDR5 RAM, 2x1 TB NVMe
| CPU Benchmark: 35224
|-
| [[Ryzen 9 5950X Server]]
| 128 GB RAM, 2x4 TB NVMe
| CPU Benchmark: 46045
|-
| [[Ryzen 9 7950X Server]]
| 128 GB DDR5 ECC, 2x2 TB NVMe
| CPU Benchmark: 63561
|-
| [[EPYC 7502P Server (128GB/1TB)]]
| 128 GB RAM, 1 TB NVMe
| CPU Benchmark: 48021
|-
| [[EPYC 7502P Server (128GB/2TB)]]
| 128 GB RAM, 2 TB NVMe
| CPU Benchmark: 48021
|-
| [[EPYC 7502P Server (128GB/4TB)]]
| 128 GB RAM, 2x2 TB NVMe
| CPU Benchmark: 48021
|-
| [[EPYC 7502P Server (256GB/1TB)]]
| 256 GB RAM, 1 TB NVMe
| CPU Benchmark: 48021
|-
| [[EPYC 7502P Server (256GB/4TB)]]
| 256 GB RAM, 2x2 TB NVMe
| CPU Benchmark: 48021
|-
| [[EPYC 9454P Server]]
| 256 GB RAM, 2x2 TB NVMe
| 
|}

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[https://powervps.net/?from=32 Configure and order] your ideal server configuration

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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️