To deploy infrastructure I’ll do a merge to master, which will then kick off a pipeline that executes tf apply. I’m storing terraform state in a gcs bucket. Rollback: One of the major benefits of infrastructure as code is the ability to “rollback” to the previous configuration or state. Terraform provides a backend state mechanism. If the state file has been subject to corruption from a recent Terraform run, then you can opt for State Rollback Feature in Terraform Enterprise. Which means you need to handle versioning with your VCS or CI tool. notification_arns - (Optional) A list of SNS topic ARNs to publish stack related events. terraform_0.15.0-alpha20210127; terraform_0.15.0-alpha20210107; terraform_0.14.6; terraform_0.14.5; terraform_0.14.4; terraform_0.14.3; terraform_0.14.2; terraform_0.14.1 One challenge when managing infrastructure as code is drift, the term for when the real-world state of your infrastructure differs from the state defined in your configuration. After the event has completed or if an issue arises from the deployment, operators can roll back the infrastructure to a previous, stable version. Terraform refresh can only operate on entities which are mentioned in the Terraform state file, therefore it can't import the missing entities. If the state file has been subject to corruption from a recent Terraform run, then you can opt for State Rollback Feature in Terraform Enterprise. Storing the Terraform configuration in source control makes it easier to re-deploy a pre-existing working state of the environment. terraform {backend "s3" {bucket = "my-new-bucket" key = "state/key" region = "eu-west-1"}} This simply tells Terraform to use S3 as the backend provider for doing things like storing tfstate files. These resources are now in your Terraform state and will henceforth be managed by Terraform. It can help you to roll back to the previous latest state. However, depending on the environment, that rollback may mean a rebuild. This post explains how to use Terraform to detect and manage configuration drift. I keep my tf files in a gitlab repo. 12. Repository Management. on_failure - (Optional) Action to be taken if stack creation fails. HashiCorp Terraform enables you to safely and predictably manage the lifecycle of your infrastructure using declarative configuration files. disable_rollback - (Optional) Set to true to disable rollback of the stack if stack creation failed. The most straightforward Terraform configuration is a single root module containing only a single .tf file. ARM is capable to rollback to a previous successful deployment (I interpret this to be a kind of state aware thing even though in some ARM documentation they said that ARM is “stateless”). To do a rollback I’ll take a previous commit branch, create a branch, then merge it into master, which will kick off the pipeline. The validation for this process is the versioning of every state change. Both tools provide good state management. It can help you to roll back to the previous latest state. Conflicts with on_failure. Pre-existing state was found while migrating the previous “s3” backend to the newly configured “s3” backend. Points: Terraform: 3, ARM: 3. Terraform is a declarative tool and has no concept of undo, or roll back. The validation for this process is the versioning of every state change. Terraform configurations can be defined in a wide variety of ways. This must be one of: DO_NOTHING, ROLLBACK, or DELETE. Finally I ran terraform init which was a requirement because Terraform had noticed that I had changed from storing locally to storing in S3. (If you are only doing local, cli development work you will see a backup state file you can use to roll back.)
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