Deploying and Managing Kubernetes Clusters with Terraform and Helm - NextGenBeing Deploying and Managing Kubernetes Clusters with Terraform and Helm - NextGenBeing
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Deploying and Managing Kubernetes Clusters with Terraform and Helm

Learn how to deploy and manage Kubernetes clusters with Terraform and Helm

Artificial Intelligence Premium Content 4 min read
NextGenBeing Founder

NextGenBeing Founder

Nov 2, 2025 76 views
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Introduction to Kubernetes Deployment

You've scaled your serverless architecture to handle 10M requests/day using AWS Lambda and API Gateway. Now, you need to deploy and manage a Kubernetes cluster to handle the increased traffic. In this part, we'll explore how to deploy and manage Kubernetes clusters using Terraform and Helm.

The Problem with Manual Deployment

Manually deploying and managing a Kubernetes cluster can be time-consuming and error-prone. You need to create the cluster infrastructure, deploy applications, and manage resources. This process can be automated using Terraform and Helm.

What is Terraform?

Terraform is an infrastructure-as-code tool that allows you to define and manage your cloud infrastructure using a human-readable configuration file. You can use Terraform to create and manage your Kubernetes cluster infrastructure.

What is Helm?

Helm is a package manager for Kubernetes that allows you to easily deploy and manage applications on your cluster. You can use Helm to deploy and manage your applications on your Kubernetes cluster.

Setting up Cluster Infrastructure with Terraform

To set up your cluster infrastructure with Terraform, you'll need to create a Terraform configuration file that defines your cluster infrastructure. Here's an example configuration file:

# Configure the AWS provider
provider \"aws\" {
  region = \"us-west-2\"
}

# Create a Kubernetes cluster
resource \"aws_eks_cluster\" \"example\" {
  name     = \"example\"
  role_arn = aws_iam_role.example.

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