MySQL - Tutorial - Connect an OVHcloud Managed Kubernetes service to an OVHcloud Managed MySQL service
Find out how to connect OVHcloud Managed Kubernetes to an OVHcloud Managed MySQL database
Find out how to connect OVHcloud Managed Kubernetes to an OVHcloud Managed MySQL database
Last updated 30th December 2021.
In this tutorial, we are going to show you how to connect your OVHcloud Managed Kubernetes Service to an OVHcloud Managed MySQL database.
OVHcloud provides services for which you are responsible for their configuration and management. You are therefore responsible for their proper functioning.
This tutorial is designed to help you as much as possible with common tasks. If you are having difficulty performing these actions, please contact a specialized service provider and/or discuss it with our community of users on https://community.ovh.com/en/. OVHcloud can't provide you with technical support in this regard.
This tutorial presupposes that you already have a working OVHcloud Managed Kubernetes cluster, and some basic knowledge of how to operate it. If you want to know more on those topics, please look at the OVHcloud Managed Kubernetes Service Quickstart.
You need to have Helm installed on your workstation and your cluster. Please refer to the How to install Helm on OVHcloud Managed Kubernetes Service tutorial.
Finally, you need to be able to order a database solution in the OVHcloud Control Panel, as explained in our Getting started with Public Cloud Databases guide.
Log in to your OVHcloud Control Panel and switch to Public Cloud
in the top navigation bar. After selecting your Public Cloud project, click on Databases
in the left-hand navigation bar under Storage.
Click on the Create a database instance
button. (Create a service
if your project already contains databases.)
Click on the MySQL database and then select the version to install from the drop-down menu. Click Next
to continue.
In this step, choose an appropriate service plan. You will be able to upgrade the plan after creation.
Please visit the capabilities page for detailed information on each plan's properties.
Click Next
to continue.
Choose the geographical region of the data center in which your database will be hosted.
Click Next
to continue.
You can choose the node model in this step. The initial and maximum numbers of nodes depend on the chosen solution in step 2.
Please visit the capabilities page for detailed information on the hardware resources and other properties of the MySQL database installation.
Take note of the pricing information and click Next
to continue.
You can name your database in this step.
The last section will show a summary of your order as well as the API equivalent of creating this database instance with the OVHcloud API.
Within a few minutes your new database service will be deployed. Messages in the OVHcloud Control Panel will inform you when the database is ready to use.
Your database is ready when cluster status is "Ready", node status is green, and number of users is set to "1 user".
For security reasons the default network configuration doesn't allow any incoming connections. To allow access from your OVHcloud Managed Kubernetes service to the database, cluster nodes IPs have to be authorised. Adding Kubernetes cluster nodes IPs to the authorised list is not recommended on production environnment, and must only be done for testing. Soon, we will write a guide on using vrack, and how to interconnect your various managed services.
Get your Kubernetes cluster nodes IP addresses from the Compute / Instances menu on the left.
Following the related documentation on how to authorise the suitable IP addresses, add your Kubernetes cluster node IPs to the authorised list.
An easy and quick way to test the connection is to start a MySQL client inside a pod, and use the Command Line Interface (CLI) to connect to the db.
kubectl run mysql-client --image=mysql:8 -it --rm --restart=Never -- /bin/bash
You are now inside the pod you just created on your cluster, you can simply use the MySQL CLI to connect to your managed MySQL database.
The useful parameters are:
The db Host, the db Port
The db Name
The db User
The db Password
Now connect to the database with the following command
mysql -uavnadmin -pxxxxxxxxxxxxxx -hmysql-xxxxxxxx-xxxxxxxxx.database.cloud.ovh.net -P20184 defaultdb
root@mysql-client:/# mysql -uavnadmin -pxxxxxxxxxxxxxx -hmysql-xxxxxxxx-xxxxxxxxx.database.cloud.ovh.net -P20184 defaultdb
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 3603
Server version: 8.0.26 Source distribution
Copyright (c) 2000, 2021, Oracle and/or its affiliates.
Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
mysql>
Setup is done, your Managed MySQL database is fully operational, let's go further and use it with WordPress hosted in Kubernetes.
For this tutorial we are using the WordPress Helm chart found on Bitnami repository. The chart is fully configurable, but here we are using the default configuration, with only the minimal set of customization to make it work well on OVHcloud Managed Kubernetes Service.
As described in the Installing WordPress on OVHcloud Managed Kubernetes tutorial, remove the default storage class and install the new one.
kubectl delete storageclasses.storage.k8s.io csi-cinder-high-speed
kubectl apply -f https://raw.githubusercontent.com/ovh/docs/develop/pages/platform/kubernetes-k8s/fix-persistent-volumes-permissions/files/fixed-cinder-high-speed-storage-class.yaml
By default, the Helm chart installs the WordPress and a MariaDB on the Kubernetes cluster. As you want to use your OVHcloud Managed MySQL database, you need to customize the Helm installation by setting the URL, user and password of your database.
In order to customize your install, without having to leave the simplicity of using Helm and the WordPress Helm chart, you can simply set some of the WordPress chart configurable parameters.
Then you can add it to your helm install
command with the --set
option (--set param1=value1,param2=value2
)
Options to set for accessing the Managed MySQL database are:
mariadb.enabled=false
externalDatabase.host=mysql-abcdefgh-ijklmnopq.database.cloud.ovh.net
externalDatabase.user=avnadmin
externalDatabase.password=mYStrongPasswOrdHere
externalDatabase.database=defaultdb
externalDatabase.port=20184
This will install the needed elements (a WordPress pod for the webserver with the WordPress PHP code), allocate the persistent volumes and initialize the services. And at the end, it will give you the connection parameters for your new WordPress:
$ helm install my-wordpress bitnami/wordpress --set allowOverrideNone=true,mariadb.enabled=false,externalDatabase.host=mysql-abcdefgh-ijklmnopq.database.cloud.ovh.net,externalDatabase.user=avnadmin,externalDatabase.password=mYStrongPasswOrdHere,externalDatabase.database=defaultdb,externalDatabase.port=20184
NAME: my-wordpress
LAST DEPLOYED: Thu Dec 23 15:49:33 2021
NAMESPACE: default
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
CHART NAME: wordpress
CHART VERSION: 12.2.7
APP VERSION: 5.8.2
** Please be patient while the chart is being deployed **
Your WordPress site can be accessed through the following DNS name from within your cluster:
my-wordpress.default.svc.cluster.local (port 80)
To access your WordPress site from outside the cluster follow the steps below:
1. Get the WordPress URL by running these commands:
NOTE: It may take a few minutes for the LoadBalancer IP to be available.
Watch the status with: 'kubectl get svc --namespace default -w my-wordpress'
export SERVICE_IP=$(kubectl get svc --namespace default my-wordpress --template "{{ range (index .status.loadBalancer.ingress 0) }}{{.}}{{ end }}")
echo "WordPress URL: http://$SERVICE_IP/"
echo "WordPress Admin URL: http://$SERVICE_IP/admin"
2. Open a browser and access WordPress using the obtained URL.
3. Login with the following credentials below to see your blog:
echo Username: user
echo Password: $(kubectl get secret --namespace default my-wordpress -o jsonpath="{.data.wordpress-password}" | base64 --decode)
Make sure your MySQL defaultdb database is clean before running the helm install command. If a previous installation is detected, settings such as user and password will not be updated, so the configuration inside of the Kubernetes cluster will not match that of the database.
As the instructions say, you will need to wait a few moments to get the LoadBalancer
URL.
You can test if the LoadBalancer
is ready using:
kubectl get svc --namespace default -w my-wordpress
After some minutes, you will get the LoadBalancer
URL:
$ kubectl get svc --namespace default -w my-wordpress
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
my-wordpress LoadBalancer 10.3.193.143 135.125.83.116 80:32027/TCP,443:32293/TCP 4m30s
Then you can follow the instructions to get the Admin URL:
$ export SERVICE_IP=$(kubectl get svc --namespace default my-wordpress --template "{{ range (index .status.loadBalancer.ingress 0) }}{{.}}{{ end }}")
$ echo "WordPress URL: http://$SERVICE_IP/"
WordPress URL: http://135.125.83.116/
$ echo "WordPress Admin URL: http://$SERVICE_IP/admin"
WordPress Admin URL: http://135.125.83.116/admin
And putting the URL in your browser will take you to the new blog:
You can also use the instructions given by the helm install
command to get the default username and password for your blog.
$ echo Username: user
Username: user
$ echo Password: $(kubectl get secret --namespace default my-wordpress -o jsonpath="{.data.wordpress-password}" | base64 --decode)
Password: GSPSIXwGok
You now have a working WordPress on your OVHcloud Managed Kubernetes Service, storing data on your OVHcloud Managed MySQL, congratulations!
To clean up your cluster, simply use Helm to delete your WordPress blog.
helm uninstall my-wordpress
It will delete your WordPress and its associated resources from your cluster:
$ helm delete my-wordpress
release "my-wordpress" uninstalled
We would love to help answer questions and appreciate any feedback you may have.
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