![]() With this, we have successfully created the code to create an EC2 instance in AWS using tf-tuts % terraform plan We have also specified the instance_type to define the size of the EC2 instance to be created.Īdditionally, we have assigned a tag “Name” with the value “My EC2 Instance”. ![]() The chosen AMI here is an Ubuntu image in Central Europe. We can assign any name to this identifier.Īmongst the resource attributes, we have declared the ami – which defines the image we want to use to create this EC2 instance. Its purpose is to refer to this particular EC2 instance elsewhere in the code. The second parameter is “ my_vm ”, which is an internal identifier. Note: To identify the correct resource type and associated attributes, refer Terraform Registry. aws in aws_instance helps Terraform identify the provider it would require to perform this provisioning task. ![]() This instructs Terraform that we want to create an EC2 instance resource in AWS with given attributes. Here we have declared a resource block of type “ aws_instance ”. If you forget, otherĬommands will detect it and remind you to do so if tf-tuts % Rerun this command to reinitialize your working directory. If you ever set or change modules or backend configuration for Terraform, Try running "terraform plan" to seeĪny changes that are required for your infrastructure. You may now begin working with Terraform. ![]() Terraform has been successfully initialized! So that Terraform can guarantee to make the same selections by default when Include this file in your version control repository Finding hashicorp/aws versions matching "~> 4.19.0". With that in mind, let us get our hands dirty by installing and setting up our Terraform tf-tuts % terraform init Terraform works with the programmatic access provided by cloud provider APIs. Terraform can be extended to support lesser-known or private data centers. Customers can create and publish their own modules both publicly and privately. Certified modules and providers are available on Terraform Registry to be readily used. The provider and module ecosystem of Terraform is well established. Its modular architecture enables working with multiple well-known cloud vendors simultaneously. Terraform is a great tool to automate multi-cloud deployments. The HCL configuration language helps declare the target state of cloud resources to be provisioned. Terraform uses Hashicorp Configuration Langauge which provides a declarative syntax to develop infrastructure as code. Some of the key features of Terraform are Feature You can also take a look at 8 Popular Terraform Alternatives. This approach also enables organizations to ingrain their security and governance practices around infrastructure resources, thus offsetting the initial efforts spent every time a new project kicks off. Infrastructure can be developed in a modular way so that it can be reused across multiple projects. Thus once developed, infrastructure provisioning and de-provisioning cycles execute identically. I also isolates manual efforts and errors associated with it. Using Terraform to develop infrastructure as code provides validation beforehand. Automation workflows also assist in strengthening deployment strategies. This provides an opportunity to enable end-to-end automation right from the infrastructure layer. Terraform workflow manages the lifecycle of cloud resources – from their creation till they are destroyed or decommissioned. Since cloud resource provision happens logically, we can rely on its consistency to create a scaled set of infrastructure. With infrastructure being managed via code, it becomes very easy to version and track changes. Let us take a look at a few of the benefits Terraform has to offer. Terraform introduced the concept of Infrastructure as Code, which by default leverages these advantages to managing infrastructure. Application code development and management of that code has evolved a lot with versioning tools, DevOps toolchains, development practices, and delivery methodologies. Consistency was a challenge, especially when many servers and clusters were to be managed.Ĭonfiguration management tools existed, but the infrastructure’s support was very limited. This was not the most efficient way and was prone to manual errors. ![]() Traditionally, without IaC, the cloud infrastructure was managed manually. ![]()
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