The above commands will install apache and MySQL within our Kubernetes cluster. Helm install k8s-mysql -set auth.rootPassword=testpassword123,auth.database=lamp_database bitnami/mysql Helm install k8s-apache -set imagePullPolicy=Always bitnami/apache In this example, we will use verified charts from a well-known publisher, bitnami, to provision Apache and MySQL within the cluster using the provided helm charts. Once you find the appropriate charts, the next step is to install them. Here we have searched for an apache chart. Simply run the search command with the name of the repository and chart to search via the CLI. It can be done either via the command line or by visiting the site and searching. Since LAMP consists of common applications, you can simply search for the appropriate charts within a public repository like Artifacthub.io (The default option) and directly install charts. There is also a high chance of creating an incorrect configuration if manifests are constantly changed and clusters are managed by multiple parties. This approach has its own risks since an error in a modification can completely break an application. If you have deployed them in multiple clusters, you will need to change the deployment manifest in each cluster and redeploy. When it’s time to update the deployment, you will need to modify the files and redeploy them again. You will need to create another deployment manifest for Apache and PHP. Following is an example deployment file for MySQL with a secret for the root password, persistent volume, and service. Before that, you will need to set up Secrets, storage volumes, ConfigMaps, etc., and then create a deployment file and deploy the application. Thus, users will have to manage at least two deployments as one for a container consisting of a database (MySQL) and the other for the webserver with PHP (Apache). A LAMP stack consists of Apache, MySQL, and PHP. Traditional LAMP stack Deploymentīefore moving into using Helm charts, let’s see how to normally deploy a LAMP stack in a Kubernetes cluster. It eliminates the need to copy-paste deployments or configurations. For proprietary applications, users can provision private repositories using helm charts across their test and production environments. There’s no need to change manifest files manually to update applications. Since helm charts are versioned, updating applications is as simple as running the newest version of the chart. These charts can then be versioned and published in a repository like Artifacthub.io and utilized to install applications in any Kubernetes cluster. Helm utilizes Helm Charts to package Kubernetes applications. Similar to traditional package managers like apt, yum, packman, and widget, which allow users to simply search, install, upgrade, and delete software on their targeted operating systems, helm aims to provide the same functionality in a Kubernetes environment. Helm acts as a package manager for Kubernetes. In this post, we will see how to deploy a LAMP stack in a K8s as a Helm Chart. Moreover, helm provides users a simplified way of deploying applications across a Kubernetes cluster. Helm is a good solution to bridge this deployment complexity and package Kubernetes applications with all dependencies, including other containers/Pods, services, secrets, ConfigMaps, etc. Kubernetes deployments are becoming even more complex, with more and more applications shifting to decoupled architectures using microservices and event-driven design patterns. Deploying applications to Kubernetes can be a complex process, as even the simplest applications contain multiple containers or Pods.
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