Multiple EC2 Instance module "ec2_instance" { source = "terraform-aws-modules/ec2-instance/aws" version = "~> 3.0" for_each = toset(["one", "two", "three"]) name = "instance-${each.key}" ami = "ami-ebd02392" instance_type = "t2.micro" key_name = "user1" monitoring = tru...
Terraform module which creates EC2 instance(s) on AWS - GitHub - tuudik/terraform-aws-ec2-instance: Terraform module which creates EC2 instance(s) on AWS
Return to the terminal and terminate the infrastructure with terraform destroy Demo Code Here is the Terraform code I used for main.tf. If you’d like to try to run the code, save your main.tf to a working directory in your Terraform root directory and run it there withterraform init,ter...
问EC2创建中导致Terraform应用失败的提供程序部分EN我正在本地机器上运行Terraform，通过一台堡垒机器创建Am...
为在哪个地区创建EC2 4、resource中的定义,主要是用来指定我们要用什么东西,例如这里用了EC2,并指定了AMI,也就是使用的服务器镜像ID,instance_type指定了Aws EC2的实例类型...tf文件可读性强,使用该命令之后会自动更新文件中的格式和一致性 terrform validate 使用该
terraform apply 1. Observe the infrastructure provisioned by Terraform in the AWS Management Console Return to the terminal and terminate the infrastructure with terraform destroy 1. Demo Code Here is the Terraform code I used for . If you’d like to try to run the code, save your to a wo...
You can adjust instance type and cache size by modifying the instance_type andcache_block_device : disk_sizes attributes in the ‘ec2-sgw’ module in either the provided examples or your custom Terraform ‘main.tf’ file.” As an example: module "ec2_sgw" { source =...
在此，我们可以使用 terraform-docs 工具生成模板说明。你需要根据项目文档在笔记本电脑上安装该工具，然后运行以下命令为模板生成 README.md 文件。terraform-docs markdown . > README.md 生成的 README.md 文件内容如下：# Gitlab on AWSThis is a terraform module that will create a Gitlab instance on ...
terraform-docs markdown . > README.md 生成的README.md文件内容如下: # Gitlab on AWS This is a terraform module that will create a Gitlab instance on AWS. ## Providers | Name | Version | |---|---| | aws | n/a | ## Inputs |...
aws_instance.gitlab, ] triggers = { always_run = timestamp() } provisioner"local-exec"{ command ="for i in `seq 1 100`; do curl -k -s$ENDPOINT>/dev/null && exit 0 || true; sleep 5; done; echo TIMEOUT && exit 1"interpreter = ["/bin/sh","-c"] ...