If this does not fix the problem, the most likely cause of this error is that PostgreSQL is not configured to allow TCP/IP connections. To be sure that PostgreSQL is running, you can also restart it with systemctl restart postgresql. But for this tutorial, the user is set as appuser and the password as strongpassword.Another variant of the PostgreSQL error is “Could not connect to server: Connection refused”.įirst, use the systemctl-status postgresql command to verify that PostgreSQL is running. You can set the database details with your preferred ones. The configuration below creates a ConfigMap named postgres-secret for the postgres application and a database called appdb. Create a new YAML configuration file ( postgres-configmap.yaml) and populate the following configuration. You’ll create a Kubernetes ConfigMap to store database details such as user, database name, and password for the PostgreSQL deployment.įor the production environment, deploying secrets such as password authentication using the Kubernetes secret is highly recommended for security.ġ. One of those resources is a ConfigMap, an API object you’ll use to store key-value pairs. Creating a ConfigMap to Store Database Detailsĭeploying PostgreSQL to Kubernetes manually requires some Kubernetes resources. You’ll create some Kubernetes resources required to manually deploy the PostgreSQL to Kubernetes. You’ve seen how to deploy PostgreSQL using a Helm chart as your template, so why choose manual deployment? The advantage of deploying PostgreSQL to Kubernetes manually is that it gives you a more in-depth understanding of application deployment on the Kubernetes environment. Be sure to change the storage capacity with your need and the path with your local directory.Ĭonnecting to PostgreSQL on Kubernetes and Verifying Connection Deploying PostgreSQL to Kubernetes Manually The configuration below creates a new PV named postgresql-data on Kubernetes with the PV’s type as local. Create a new YAML configuration ( local-pv.yaml) file with your preferred editor and populate the following configuration. PVC is used to mount a PV to your application’s pod.ġ. PVC – is the way your application uses a given PV.These PV types include local directory and third-party cloud storage providers, such as Amazon EBS and AzureDisk. There are multiple types of PV supported by Kubernetes. PV – is a Kubernetes resource for storing data of your applications.You’ll create the PersistentVolume (PV) and PersistentVolumeClaim (PVC) on Kubernetes: But before deploying your PostgreSQL, you’ll need a place for storing PostgreSQL data permanently. You’ve now added the Bitnami Helm repository to your system. Verifying Repository Creating a PersistentVolume (PV) and a PersistentVolumeClaim (PVC) Open your terminal, and run the helm commands below to add the Bitnami helm repository to your system and refresh the index chart of the Helm repository. But this tutorial uses the Helm repository provided by Bitnami.įor the complete list of available Helm repositories, visit Artifacthub.io. Many available Helm repositories you can use to deploy PostgreSQL to Kubernetes. Learn how to deploy PostgreSQL to Kubernetes using the Helm repository as your template in the following sections. Helm simplifies the application deployment complexity on Kubernetes and comes with quick update features, sharing of charts, and rollbacks feature. Helm is the package manager for Kubernetes that allows you to deploy applications to Kubernetes in no time.
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