I’m building a lightweight affiliate marketing dashboard that tracks link clicks and commissions, similar to how sites like GrabCash work on the frontend. I’m hosting it on a basic VPS (1GB RAM, 1 vCPU) and currently using a LAMP stack.
What are some key server-side optimizations I can implement to improve load speed and response time, especially when real-time tracking is involved? Would switching to something like Nginx + PHP-FPM help significantly? Also open to database tuning tips (using MySQL).
Thanks in advance!
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Heya,
Yes, switching to Nginx + PHP-FPM will usually help, especially for high-concurrency or many small requests:
Nginx is event-driven and much lighter on memory under load compared to Apache prefork.
PHP-FPM lets you finely control PHP process spawning (pm
settings) instead of relying on Apache mod_php.
If you stay on Apache:
Consider switching to event MPM (apachectl -V
to check) and running PHP via php-fpm.
Disable or remove unused modules.
Use KeepAlive Off
or reduce KeepAliveTimeout
to 2–3s.
Nginx + PHP-FPM is often better for low-RAM VPS:
Lower memory footprint.
Faster static asset delivery.
Easier caching configuration.
Recommendation: Switch to Nginx + PHP-FPM if possible.
opcache.enable=1
opcache.memory_consumption=64
opcache.interned_strings_buffer=8
opcache.max_accelerated_files=4000
opcache.validate_timestamps=0
(validate_timestamps=0
disables checking file modification times—requires reload after deploy)
Use Composer’s --optimize-autoloader
if you use Composer.
Avoid unnecessary PHP includes on every request.
If you have real-time click tracking, avoid sessions or reduce session locking, e.g.:
Use Redis or Memcached for session storage.
Call session_write_close()
as soon as you no longer need the session in scripts.
Affiliate tracking tends to have lots of INSERTs. Check and tune these areas:
InnoDB settings (in my.cnf
):
innodb_buffer_pool_size = 256M
innodb_log_file_size = 64M
innodb_flush_log_at_trx_commit = 2
innodb_flush_method = O_DIRECT
innodb_buffer_pool_size
should be ~50–60% of RAM.
innodb_log_file_size
helps with write-heavy workloads.
Disable query cache (if MySQL 5.7 or higher). Use proper indexes.
On click tracking tables, ensure you have indexes on the columns you filter or join on frequently.
Example: INDEX (affiliate_id, created_at)
.
Consider batching writes:
Use Redis or Memcached to cache frequently-read data:
Commission summaries.
Affiliate dashboards.
Recent clicks (if acceptable to be ~30s stale).
Use Nginx microcaching (e.g., 1–3 seconds) for dashboard views, which offloads bursts.
Enable GZIP compression (gzip on;
in Nginx).
Serve static assets directly via Nginx.
Use HTTP/2 (faster multiplexed requests).
Monitor with something like htop
, iftop
, mysqltuner
, and ngxtop
to see real bottlenecks.
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