azurerm_kusto_script | Resources - Terraform Registry
If changed the script will be applied again. script_content - (Optional) The script content. This property should be used when the script is provide inline and not through file in a SA. Must not be used …
startup-scripts - Terraform Registry
This terraform module provides a mechanism to store a library of bash functions intended for use in startup scripts. The goal is to have a single place to add functionality useful by all instances.
terraform-google-modules/startup-scripts/google - Terraform Registry
While in this directory, run terraform init then terraform plan and terraform apply to boot an instance which executes a custom startup script within the context of the startup scripts library:
databricks_global_init_script | Resources - Terraform Registry
Global init script in the Databricks workspace would only be changed, if Terraform stage did change. This means that any manual changes to managed global init script won't be overwritten by …
Docs overview | hashicorp/azurerm - Terraform Registry
To learn the basics of Terraform using this provider, follow the hands-on get started tutorials. Interested in the provider's latest features, or want to make sure you're up to date?
Docs overview | hashicorp/aws | Terraform | Terraform Registry
By default, the underlying AWS client used by the Terraform AWS Provider creates requests with User-Agent headers including information about Terraform and AWS SDK for Go versions.
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coder_script | Resources - Terraform Registry
If the script does not complete within this time, the script is terminated and the agent lifecycle status is marked as timed out. A value of zero (default) means no timeout.
databricks_cluster | Resources - Terraform Registry
It is possible to specify up to 10 different cluster-scoped init scripts per cluster. Init scripts support volumes, cloud storage locations, and workspace files.
Docs overview | databricks/databricks - Terraform Registry
Use the Databricks Terraform provider to interact with almost all of Databricks resources. If you're new to Databricks, please follow guide to create a workspace on Azure, AWS or GCP and then this …