Install Docker and Docker-compose

The first thing to do is to install Docker and Docker compose in our system. For centos7, use the following command.

For the rest of the releases, it’s best to read the official Docker documentation.

[root@localhost ~]# yum install docker python-pip docker-compose -y

Check that the installation is successful

 [root@localhost ~]# docker-compose -v && docker -v

Deploy zabbix using Docker-compose

• First, create a folder and then create docker-compose.yml files in it

[root@localhost ~]# mkdir zabbix
[root@localhost ~]# cd zabbix/
[root@localhost zabbix]# touch docker-compose.yml

• Edit docker-compose.yml file

[root@localhost zabbix]# vim docker-compose.yml 
 version: '3'
 services:
   zabbix-mysql:
     image: mysql:5.6
     container_name: zabbix-mysql
     ports:
       - '3306:3306'
     environment:
       MYSQL_ROOT_PASSWORD: zabbix
     volumes:
       - /root/zabbix/mysql-data:/var/lib/mysql
 zabbix-server:
     image: zabbix/zabbix-server-mysql:ubuntu-3.0.4
     container_name: zabbix-server
     environment:
       DB_SERVER_HOST: "zabbix-mysql"
       MYSQL_USER: root
       MYSQL_PASSWORD: zabbix
     ports:
       - '10051:10051'
     links:
       - zabbix-mysql
     depends_on:
       - zabbix-mysql
 zabbix-web:
     image: zabbix/zabbix-web-nginx-mysql:ubuntu-3.0.4
     container_name: zabbix-web
     environment:
       DB_SERVER_HOST: zabbix-mysql
       MYSQL_USER: root
       MYSQL_PASSWORD: zabbix
       ZBX_SERVER_HOST: "zabbix-server"
       PHP_TZ: Asia/Shanghai
     ports:
       - '80:80'
       - '443:443'
     links:
       - zabbix-mysql
       - zabbix-server
     depends_on:
       - zabbix-mysql
       - zabbix-server

Important environment variable Settings

• Zabbix-web-nginx-mysql and zabbix-web-nginx-mysql image versions remain consistent (ubuntu-3.0.4 or other)
• MYSQL_ROOT_PASSWORD: mysql root password
• MYSQL_USER: Connect the mysql user
• MYSQL_PASSWORD: Connect the mysql password

Running and testing zabbix

[root@localhost ~]# docker-compose up -d
[root@localhost ~]# docker-compose ps

Wait 2 minutes for the database initialization to complete

Next, open your web browser and go to your server using the port 80.

Log in using Zabbix’s default user and password
user: Admin password:zabbix
After that, you will see the dashboard

In a nutshell with Docker Compose, you no longer need to use shell scripts to start the container. In the configuration file, all containers are defined through the services, and then the application is started, stopped, and restarted using the docker-compose script, along with the services in the application and all containers that depend on the services. Docker Compose is a tool for defining and running multi-container Docker applications. it USES YAML files to configure the service of the application and a single command to perform the creation and startup of all containers. The docker-compose cli tool allows users to run commands for multiple containers simultaneously.

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The MySQL repository

MySQL was acquired by Oracle and this unleashed a hysteria in the open-source community. And with reason, it became difficult for Oracle to focus on MySQL having Oracle its own database manager. However, MySQL has continued to improve little by little and the proof of this is version 8 of the program.

This version has brought a lot of important news and makes MySQL work smoothly and securely. If we add to this a system like OpenSUSE then our data is in good hands.

For it, Oracle puts to our disposition a specialized repository for OpenSUSE that facilitates a lot the process. In this repository, we can install both the server instance and the client.

Install the latest version of MySQL on OpenSUSE 15 /15.1

The first step is to update the system completely. With it, we will have the last security patches in the system.

~$ sudo zypper up

Then, make sure you have wget installed. If not, you can install it with this command:

:~$ sudo zypper in wget

Now download the RPM package that configures the MySQL repository in OpenSUSE.

:~$ wget https://dev.mysql.com/get/mysql80-community-release-sl15-3.noarch.rpm

Next, install the package.

:~$ sudo rpm -ivh mysql80-community-release-sl15-3.noarch.rpm

Next, import the GPG key for the repository.

:~$ sudo rpm --import /etc/RPM-GPG-KEY-mysql

Now, refresh the repository information using zypper.

:~$ sudo zypper refresh

And finally, install MySQL 8 on OpenSUSE 15 / 15.1.

:~# sudo zypper install mysql-community-server

Then, check the installed version.

:~$ mysql --version 
mysql  Ver 8.0.17 for Linux on x86_64 (MySQL Community Server - GPL)

And that is it.

Conclusion

In this post, you have learned to install the latest version of MySQL on OpenSUSE. With this, you can have a system ready and ready to store data in this fabulous manager.

Please share this post and join our Telegram channel.

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The main objective of this post is to show you various parameters that you can modify to increase the performance of MySQL or MariaDB, but keep in mind that each server is different, then each one has its different needs and in the end, it depends on you.

So, let’s start.

The my.cnf file

The vast majority of the settings that apply to MySQL / MariaDB can be applied from this file. It can be found in the following path /etc/mysql/.

You have to know that in this file many things can be done, including damaging the server. So the first thing to do is to be careful what you do.

Some of the parameters that affect the performance of MySQL / MariaDB are:

• query_cache_type: Simply in this option, you can activate or deactivate the cache of the application. It is recommended to activate it by placing the value of 1.
• max_allowed_packet: It’s up to you here. This parameter allows you to define the maximum size that MySQL / MariaDB can work with. Example, if you want to import a very large database, then the value must be high.
• query_cache_size: Defines the size of the query cache. Very important, but it has a little trick, you should put 64Mb for every 1GB of RAM your server has.
• key_buffer_size: Specifies the size of the index cache. Note that if this value is too high you can cause the server to collapse. Normally, it should be 32Mb for every usable 1Gb. The higher the better, as long as you have the resources to do so.
• thread_cache_size: The maximum number of process threads that can be used. Here you must define between 32 and 64 in order not to saturate the processor.
• max_connections: Defines the number of total simultaneous connections the server will accept.
• wait_timeout: It is the waiting time that MySQL takes to close a connection.

Of course, there are many more parameters, however, I believe that these are the most basic ones to modify.

Optimize MySQL / MariaDB using MySQL Tuner

There is a fairly simple tool to apply that can help us with the MySQL / MariaDB configuration and optimization process. I’m talking about MySQLTuner.

MySQLTuner is a script written in Perl that allows you to review a MySQL installation quickly and make adjustments to increase performance and stability. The script has many indicators that will recommend the policies to apply to our server.

Let’s use it. First, download it.

:~$ wget http://mysqltuner.pl/ -O mysqltuner.pl

And run it.

:~$ perl mysqltuner.pl

It is recommended to execute this script when you have a real database so that the data you can collect is as real as possible. In this case, I’m doing a test.

SSD disks a good way to optimize

If it is in your possibilities it is good that you can acquire for your server a disk SSD. The SSD disks are rather expensive but compensate much in performance and this is important in their production server.

In some cases, when the hard disk is very fragmented its performance is up to 400% lower than an SSD. That is, it is too much difference.

Conclusion

It is not very difficult to optimize MySQL / MariaDB but it is very important to do it. For this, we have a tool like MySQLTuner to help us with the task.

On the other hand, it is good to improve the resources of our server as an SSD so that MySQL / MariaDB also improves performance.

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