terraform deploy eks and nginx and put the log data to cloud logging services on aws

To deploy EKS and Nginx using Terraform and put the log data to Cloud Logging services on AWS, you need to follow these steps:

1. Create an IAM user with the necessary permissions to deploy EKS and Cloud Logging services on AWS.
2. Install the AWS CLI and Terraform on your local machine.
3. Create a Terraform configuration file for deploying EKS and Nginx, including the necessary configurations for Cloud Logging services.
4. Initialize the Terraform configuration by running the terraform init command.
5. Plan the Terraform deployment by running the terraform plan command.
6. Deploy the Terraform configuration by running the terraform apply command.
7. Verify that EKS and Nginx are deployed successfully by accessing the Nginx endpoint.
8. Verify that the log data is being sent to Cloud Logging services by checking the CloudWatch logs.

Here's an example Terraform configuration file for deploying EKS and Nginx and sending the log data to Cloud Logging services on AWS:

provider "aws" {
  region = "us-west-2"
}

locals {
  cluster_name = "my-eks-cluster"
}

module "eks" {
  source = "terraform-aws-modules/eks/aws"

  cluster_name = local.cluster_name
  subnets      = ["subnet-xxxxxx", "subnet-yyyyyy", "subnet-zzzzzz"]
  vpc_id       = "vpc-xxxxxx"

  tags = {
    Terraform   = "true"
    Environment = "dev"
  }
}

resource "aws_cloudwatch_log_group" "nginx_logs" {
  name = "/var/log/nginx/access.log"
}

resource "aws_cloudwatch_log_stream" "nginx_logs_stream" {
  name           = "nginx-logs"
  log_group_name = aws_cloudwatch_log_group.nginx_logs.name
}

resource "aws_eks_node_group" "workers" {
  cluster_name    = local.cluster_name
  node_group_name = "workers"
  node_role_arn   = module.eks.node_group_default_node_role_arn
  subnet_ids      = ["subnet-xxxxxx", "subnet-yyyyyy", "subnet-zzzzzz"]
  scaling_config {
    desired_size = 2
    max_size     = 2
    min_size     = 2
  }

  remote_access {
    ec2_ssh_key = "my-ssh-key"
    source_security_group_id = module.eks.cluster_security_group_id
  }

  depends_on = [
    module.eks
  ]

  tags = {
    Terraform   = "true"
    Environment = "dev"
  }
}

resource "aws_launch_configuration" "nginx" {
  name_prefix = "nginx-"
  image_id    = "ami-xxxxxx"
  instance_type = "t2.micro"
  security_groups = [module.eks.cluster_security_group_id]
  user_data = <<-EOF
              #!/bin/bash
              yum install nginx -y
              systemctl start nginx
              EOF

  lifecycle {
    create_before_destroy = true
  }

  depends_on = [
    aws_cloudwatch_log_group.nginx_logs,
    aws_eks_node_group.workers,
  ]

  associate_public_ip_address = true

  root_block_device {
    volume_size = 20
  }

  tags = {
    Terraform   = "true"
    Environment = "dev"
  }
}

resource "aws_autoscaling_group" "nginx" {
  name = "nginx-asg"
  launch_configuration = aws_launch_configuration.nginx.name
  vpc_zone_identifier   = ["subnet-xxxxxx", "subnet-yyyyyy", "subnet-zzzzzz"]
  min_size              = 1
  max_size              = 1
  desired_capacity      = 1
  depends_on = [
    aws_launch_configuration.nginx,
    aws_eks_node_group.workers,
  ]

  lifecycle {
    create_before_destroy = true
  }

  tags = {
    Terraform   = "true"
    Environment = "dev"
  }
}

resource "aws_cloudwatch_log_subscription_filter" "nginx_logs_filter" {
  name            = "nginx-logs-filter"
  log_group_name  = aws_cloudwatch_log_group.nginx_logs.name
  filter_pattern  = ""
  destination_arn = module.eks.cloudwatch_log_destination_arn
  depends_on = [
    module.eks,
    aws_cloudwatch_log_group.nginx_logs,
  ]
}

In this example, we're deploying EKS, Nginx, and Cloud Logging services on AWS. We're creating an EKS cluster, a worker node group, and an autoscaling group for Nginx. We're also creating a CloudWatch Log Group and a Log Stream for the Nginx logs and subscribing them to the Cloud Logging services using a filter. Finally, we're tagging all the resources with Terraform and environment tags for better organization and management