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Pages take 10–20 seconds to load. The submission form times out. Readers give up before the article opens. A slow OJS installation isn’t just an inconvenience—it directly affects how authors perceive your journal’s professionalism and how well your articles rank in Google Scholar and other discovery tools.
OJS performance problems are almost never caused by a single issue. They typically result from a combination of server resource limitations, unoptimized database queries, too many active plugins, or a misconfigured cache layer. An aging installation that hasn’t been upgraded compounds all of these.
metrics or event_log database tables never purged (can grow to millions of rows)In OJS, enable caching via config.inc.php:
[general]
installed = On
[cache]
cache_driver = file
Make sure the /cache directory inside your OJS installation is writable:
bash
chmod -R 755 /var/www/ojs/cache
Also check your metrics table size in the database. If it has millions of rows and your OJS version is older than 3.4, this alone can cause significant slowdowns on every statistics-related page load.
We audit and fix OJS performance issues—from caching to database cleanup to proper server configuration.
Trusted by 200+ academic journals worldwide
We perform a full performance audit: server resource check, OPcache configuration, OJS cache setup, plugin audit, and database table optimization. For journals on shared hosting, we advise on moving to a VPS with appropriate specs. We also handle the large metrics table cleanup that’s often overlooked and causes the most dramatic slowdowns in older installations.
Altechmind Technologies specializes in OJS configuration, migration, and troubleshooting. View all OJS services →