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Configuring an Application to Access Cloud SQL for PostgreSQL in Kubernetes

Emmanuel Odenyire Anyira's photo
Emmanuel Odenyire Anyira
·

3 min read

Introduction:

Configuring an application to access a database is a crucial step in building a reliable and scalable system. In this blog, we will explore the process of connecting an application to a Cloud SQL for PostgreSQL database in a Kubernetes cluster. We will cover the creation of a Kubernetes cluster, deployment of a sample application, and configuring the application to read from and write to the Cloud SQL database.

Prerequisites:

To successfully complete this lab, you should have a basic understanding of Kubernetes concepts and have access to a Google Cloud Platform account with the necessary permissions to create and manage resources.

Lab Steps:

Follow the steps below to configure your application to access a Cloud SQL for PostgreSQL database in Kubernetes:

  1. Create a Kubernetes cluster: Begin by creating a Kubernetes cluster in your Google Cloud Platform account. This cluster will serve as the environment to deploy and run your application.

  2. Deploy a sample application: Next, deploy a simple application to the Kubernetes cluster. This application will act as an example to demonstrate the connectivity between the application and the Cloud SQL database.

  3. Create a Cloud SQL for PostgreSQL instance: Create a Cloud SQL for PostgreSQL database instance in your Google Cloud Platform project. This instance will serve as the backend database for your application.

  4. Configure access to the Cloud SQL instance: Configure the necessary access controls for the Kubernetes cluster to connect to the Cloud SQL instance. This may involve creating service accounts, configuring IAM roles, and setting up firewall rules.

  5. Connect the application to the Cloud SQL database: Modify the application’s configuration to include the connection details for the Cloud SQL for PostgreSQL database. Update the database URL, username, password, and any other required parameters in the application’s configuration files.

  6. Test the application connectivity: Once the configuration is updated, deploy the modified application to the Kubernetes cluster and test its connectivity to the Cloud SQL database. Verify that the application can successfully read from and write to the database.

Conclusion:

Configuring an application to access a Cloud SQL for PostgreSQL database in Kubernetes is an essential step in building a robust and scalable system. By creating a Kubernetes cluster, deploying a sample application, and configuring the application to connect to the Cloud SQL instance, you can ensure seamless integration between your application and the database. This allows for efficient data retrieval and storage, empowering your application to perform effectively.

References:

  1. Google Cloud SQL for PostgreSQL Documentation: Link

  2. Google Kubernetes Engine Documentation: Link

  3. Kubernetes Documentation: Link

  4. Google Cloud Platform Blog: Link

About the Author:

Emmanuel Odenyire Anyira is a Senior Data Analytics Engineer at Safaricom PLC. With extensive experience in designing and building data collection systems, processing pipelines, and reporting tools, Emmanuel has established himself as a thought leader in the field of data analytics and infrastructure management. He possesses expertise in various technologies, including Apache NiFi, Informatica PowerCenter, Tableau, and multiple programming languages. Emmanuel’s passion for automation and optimizing workflows has driven him to share his insights and expertise through writing and speaking engagements.