Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Use in production (slow) #52

Open
web4exposure-org opened this issue Feb 1, 2021 · 0 comments
Open

Use in production (slow) #52

web4exposure-org opened this issue Feb 1, 2021 · 0 comments

Comments

@web4exposure-org
Copy link

web4exposure-org commented Feb 1, 2021

This is a question regarding the performance of this docker, based on our use case.

We are attempting to create a docker construction for Magento production. Our current attempts have been very slow and many dockers do not seem usable. Are you working on a production-ready environment or do you know of some production ready (magento 2.4).

Currently, our loading times are several seconds, without cache, exceeding 15 seconds. We have around 80k products, totalling around 5000 product attributes. We have a very simple theme and few modules. Our current production runs on CloudWays and has 32Gb RAM, and an 8-core processor.

The docker runs on a dedicated server, with 128G ram, and the following cpu:

Architecture:          x86_64
CPU op-mode(s):        32-bit, 64-bit
Byte Order:            Little Endian
CPU(s):                32
On-line CPU(s) list:   0-31
Thread(s) per core:    2
Core(s) per socket:    8
Socket(s):             2
NUMA node(s):          2
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 79
Model name:            Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz

All cache is enabled.

We are wondering if there are any speed ups to be had, by using optimized configurations, different docker setups, or any other solutions.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant