I have a client with a huge catalog on prestashop
([url removed, login to view] upgraded to 18.104.22.168 with some issues).
The shop runs some slow query, especially in category class.
They takes some times more than 150sec. They seems to be due to the random module in homepage (which I removed now), but the situation is not so improved.
The main goal would be to achieve at maximum 2 sec of pageloading time,
I don't know if the solution is improving prestashop and server settings (actually a managed cloud on siteground, 2 cores 6 GB RAM and 40 GB SSD) or moving to a faster not managed server (for example OVH 32 GB ram 8 core and 300GB SSD).
In second case I need someone who set the apache server from scratch, install everything a normal web developer needs and help me settings prestashop to fly.
ps. Main cache settings are set based on lot of tutorials and suggestions, tried lot of combinations but still too slow
thank you for your time guys!
12 freelance font une offre moyenne de £176 pour ce travail
Hello ! I must say that 400k is quite a large amount of items to list, and prestashop is not actually the best on the market when it comes to speed. I would like to know more about the server config, have you carrie Plus
Hello. I am ready to take a look at the site and provide a possible best solution. Have a lot of experience in both Prestashop and performance optimization projects. Thanks. Eugene
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Hello, I can analyse and optimize the server to get the best performance possible out of the server's hardware I have done a lot of similar projects on the past you can see reviews on my profile. here is a lit Plus
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Hello. I can help you! I'm not very good familiar with prestashop but I'm good investigator (look at my reviews :) And I'm 10+ years experience of system administration, and php dveloper in the past and network engen Plus
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Hello there, From my experience the ideal setup is as follows. A VPS machine just for mysql. You need CPU like 4-6 cores on let's say 4-8 GB RAM. Another VPS machine for apache (we can use haproxy in front of a Plus
Price for case study, bottleneck search, and solution suggestion. Implementation will depend on solution chosen.