NashTech Insights

How to Automate Kubernetes Infrastructure with Terraform

Rahul Miglani
Rahul Miglani
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Kubernetes has become the de facto standard for container orchestration, offering a robust platform for deploying and managing containerized applications at scale. However, setting up and managing the infrastructure required for K8s can be a complex and time-consuming task. This is where Terraform, an infrastructure as code tool, comes into play. In this blog post, we will explore how to automate K8s infrastructure using Terraform, enabling you to provision and manage your clusters efficiently. We will also provide a practical example of a Terraform code snippet to demonstrate the power and simplicity of this approach.

Understanding Terraform and Kubernetes:

Terraform is an open-source infrastructure as code tool developed by HashiCorp. It allows you to define and provision infrastructure resources using a declarative configuration language. With Terraform, you can manage resources across various cloud providers and on-premises environments, providing a unified and consistent workflow.

Kubernetes, on the other hand, is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It offers features such as automatic scaling, load balancing, and self-healing capabilities.

By combining Terraform and K8s, you can automate the provisioning and management of your K8s infrastructure, making it easier to create and maintain Kubernetes clusters in a consistent and reproducible manner.

Benefits of Automating Kubernetes Infrastructure with Terraform:

Infrastructure as Code: With Terraform, you can define your entire Kubernetes infrastructure as code. This approach brings numerous benefits, including version control, collaboration, and reproducibility. You can store your infrastructure code in a version control system, enabling you to track changes, revert to previous versions, and collaborate with teammates effectively.

Consistency and Reusability: Terraform allows you to define reusable infrastructure modules. You can create reusable components that encapsulate common infrastructure patterns and configurations, making it easier to provision consistent Kubernetes clusters across different environments. This promotes consistency and reduces the chances of configuration drift.

Multi-Cloud and Hybrid Cloud Support: Terraform supports multiple cloud providers, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and others. This enables you to provision Kubernetes infrastructure across different cloud environments, providing flexibility and avoiding vendor lock-in. Additionally, Terraform also supports provisioning on-premises infrastructure, allowing you to manage hybrid cloud setups.

Scalability and Flexibility: Terraform enables you to define scalable Kubernetes infrastructure. You can easily scale your Kubernetes clusters up or down based on demand, ensuring optimal resource utilization. Additionally, you can leverage Terraform’s interpolation and variable capabilities to make your infrastructure configuration more flexible, enabling you to adapt to changing requirements.

Example Terraform Code Snippet:

Let’s explore a practical example of automating Kubernetes infrastructure using Terraform. In this scenario, we will provision an Amazon Elastic Kubernetes Service (EKS) cluster on AWS.

In this example, we are using the AWS provider to provision an Amazon Elastic Kubernetes Service (EKS) cluster. The aws_eks_cluster resource defines the cluster name, role ARN, and Kubernetes version. It also specifies the VPC configuration, including the subnet IDs and security group IDs where the cluster will be deployed.

The aws_iam_role resource creates an IAM role that allows the EKS service to assume this role. It includes an assume role policy that grants permissions to the EKS service to assume the role.

Please note that this is a simplified example, and you would need to customize the configuration according to your specific requirements, such as the region, subnet IDs, security group IDs, and other parameters.


Finally, Automating Kubernetes infrastructure with Terraform offers significant advantages in terms of repeatability, scalability, and consistency. By using Terraform’s infrastructure as code approach, you can provision and manage Kubernetes clusters efficiently, whether it’s on AWS, Azure, or other cloud providers.

Lastly, In this blog post, we explored the benefits of automating Kubernetes infrastructure with Terraform and provided a practical example of Terraform code for provisioning an Amazon EKS cluster on AWS. This example demonstrates the power and simplicity of using Terraform to automate the setup of Kubernetes infrastructure.

Lastly, By leveraging Terraform’s declarative syntax and ecosystem of providers, you can automate the deployment of Kubernetes clusters, manage their configurations, and scale them effortlessly. This enables you to focus more on your application workloads and less on the underlying infrastructure.

So, why not give Terraform a try and experience the benefits of automating your Kubernetes infrastructure? Happy automating!

Rahul Miglani

Rahul Miglani

Rahul Miglani is Vice President at NashTech and Heads the DevOps Competency and also Heads the Cloud Engineering Practice. He is a DevOps evangelist with a keen focus to build deep relationships with senior technical individuals as well as pre-sales from customers all over the globe to enable them to be DevOps and cloud advocates and help them achieve their automation journey. He also acts as a technical liaison between customers, service engineering teams, and the DevOps community as a whole. Rahul works with customers with the goal of making them solid references on the Cloud container services platforms and also participates as a thought leader in the docker, Kubernetes, container, cloud, and DevOps community. His proficiency includes rich experience in highly optimized, highly available architectural decision-making with an inclination towards logging, monitoring, security, governance, and visualization.

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