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Community Blog How to Install LAMP Stack for Pagekit CMS on CentOS 7.4

How to Install LAMP Stack for Pagekit CMS on CentOS 7.4

In this article, you will get the information on the installation of LAMP Stack on CentiOS 7.

Pagekit is a modern open source and free content management system (CMS). Here you can get some tips in installing Pagekit CMS on CentOS 7.4.

Before the installation of Pagekit CMS, you need to setup LAMP Stack on CentOS 7.4.

Update Your CentOS 7 System

Before proceeding with installation of any kind of package, use the following command to update your CentOS system. To execute this command, remember to login from non-root user with sudo privileges.

# sudo yum -y update

You will be prompted to enter your password. Now type your password and hit Enter key and wait for updating.

Now you have successfully updated your CentOS system. Your next step is to install Apache Web Server.

Install epel-release

To install epel-release, execute the command below:

# sudo yum install epel-release

Note: You can use either Apache or NGINX for your LAMP (LEMP) stack. In this tutorial, I will be using an Apache Web Server to install PageKit CMS.

For details of installation on LAMP Stack & other necessary packages, please go to How to Install Pagekit CMS on CentOS 7.4 – Part 1 LAMP Stack Setup and continue with second part of How to install PageKit CMS on CentOS 7.4 tutorial.

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Related Marketplace Products:

There are some products in our marketplace which have already customized for LAMP CentOS 7.

WordPress on LAMP CentOS 7.4 Lite

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Drupal on LAMP CentOS 7.4 Lite

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Magento on LAMP CentOS 7.4 Lite

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Related Documentation

Build a LAMP development environment
How to restart the sshd service on ECS CentOS 7

Related Products

For the CMS systmes on LAMP in CentOS, you may also need the following products to optimize your experience with the system.

Elastic Compute Service

An online computing service that offers elastic and secure virtual cloud servers to cater all your cloud hosting needs.

Elastic GPU

Powerful parallel computing capabilities based on GPU technology.

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