The Terraform Book

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Chapter 3: Building an application stack with <strong>Terraform</strong> should see that nine resources have been created. We can also see our outputs are the last items returned. We see the IP addresses of both our EC2 instances and the DNS name of our Elastic Load Balancer. We also see the ID of the public subnet we created with the vpc module. If we want to see these outputs again, rather than applying the configuration again, we can run the terraform output command. Listing 3.80: Showing the outputs only $ terraform output addresses = [ 54.167.183.26, 54.167.186.170 ] elb_address = web-elb-1083111107.us-east-1.elb.amazonaws.com public_subnet_id = subnet-ae6bacf5 TIP Remember if you want to see the full list of all our resources and their attributes you can run the terraform show command. We can also make use of this data in other tools by outputting it in a machinereadable JSON format. To do this we can use the terraform output command with the -json flag. Version: v1.1.1 (e771e4d) 65
Chapter 3: Building an application stack with <strong>Terraform</strong> Listing 3.81: Outputs as JSON $ terraform output -json { "addresses": { "sensitive": false, "type": "list", "value": [ "54.167.183.26", "54.167.186.170" ] }, "elb_address": { "sensitive": false, "type": "string", "value": "web-elb-1083111107.us-east-1.elb.amazonaws.com " } "public_subnet_id": { "sensitive": false, "type": "string", "value": "subnet-ae6bacf5" } } We can consume this data in another service. For example, we could pass it to a provisioning tool such as Chef, Puppet, or Ansible. Graphing our stack Lastly, let’s look at our stack’s graph to see how the resources are interrelated. To output the graph we use the terraform graph command, pipe the result to a .dot file, and then convert it to an SVG file. Version: v1.1.1 (e771e4d) 66
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