Add 'parallelism' parameter to limit the number of concurrent operations as Terraform walks its graph. Download glibc-2.21-r2.apk from 'github.com/sgerrand/alpine-pkg-glibc' as 'circle-artifacts.com/gh/andyshinn/alpine-pkg-glibc' is not available. Correct 'terraform apply' with parallelism option. Run 'go fmt'.
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Use the Terraform plugin to apply the infrastructure configuration contained within the repository. The following parameters are used to configure this plugin:
plan
- if true, calculates a plan but does NOT apply it.remote
- contains the configuration for the Terraform remote state tracking.backend
- the Terraform remote state backend to use.config
- a map of configuration parameters for the remote state backend. Each value is passed as a-backend-config=<key>=<value>
option.
vars
- a map of variables to pass to the Terraformplan
andapply
commands. Each value is passed as a-var <key>=<value>
option.ca_cert
- ca cert to add to your environment to allow terraform to use internal/private resourcessensitive
(default:false
) - Whether or not to suppress terraform commands to stdout.role_arn_to_assume
- A role to assume before running the terraform commands.root_dir
- The root directory where the terraform files live. When unset, the top level directory will be assumed.parallelism
- The number of concurrent operations as Terraform walks its graph.
The following is a sample Terraform configuration in your .drone.yml file:
deploy:
terraform:
plan: false
remote:
backend: S3
config:
bucket: my-terraform-config-bucket
key: tf-states/my-project
region: us-east-1
vars:
app_name: my-project
app_version: 1.0.0
Advanced Configuration
CA Certs
You may want to run terraform against internal resources, like an internal
OpenStack deployment. Usually these resources are signed by an internal
CA Certificate. You can inject your CA Certificate into the plugin by using
ca_certs
key as described above. Below is an example.
deploy:
terraform:
plan: false
remote:
backend: swift
config:
path: drone/terraform
vars:
app_name: my-project
app_version: 1.0.0
ca_cert: |
-----BEGIN CERTIFICATE-----
asdfsadf
asdfsadf
-----END CERTIFICATE-----
Suppress Sensitive Output
You may be passing sensitive vars to your terraform commands. If you do not want
the terraform commands to display in your drone logs then set sensitive
to true
.
The output from the commands themselves will still display, it just won't show
want command is actually being ran.
deploy:
terraform:
plan: false
sensitive: true
remote:
backend: S3
config:
bucket: my-terraform-config-bucket
key: tf-states/my-project
region: us-east-1
vars:
app_name: my-project
app_version: 1.0.0
Assume Role ARN
You may want to assume another role before running the terraform commands. This is useful for cross account access, where a central account ahs privileges to assume roles in other accounts. Using the current credentials, this role will be assumed and exported to environment variables. See the discussion in the Terraform issues.
deploy:
terraform:
plan: false
remote:
backend: S3
config:
bucket: my-terraform-config-bucket
key: tf-states/my-project
region: us-east-1
vars:
app_name: my-project
app_version: 1.0.0
role_arn_to_assume: arn:aws:iam::account-of-role-to-assume:role/name-of-role
Root dir
You may want to change directories before applying the terraform commands. This parameter is useful if you have multiple environments in different folders and you want to use different drone configurations to apply different environments.
deploy:
terraform:
plan: false
remote:
backend: S3
config:
bucket: my-terraform-config-bucket
key: tf-states/my-project
region: us-east-1
vars:
app_name: my-project
app_version: 1.0.0
root_dir: some/path/here
Parallelism
You may want to limit the number of concurrent operations as Terraform walks its graph.
If you want to change Terraform's default parallelism (currently equal to 10) then set the parallelism
parameter.
deploy:
terraform:
plan: false
remote:
backend: S3
config:
bucket: my-terraform-config-bucket
key: tf-states/my-project
region: us-east-1
vars:
app_name: my-project
app_version: 1.0.0
parallelism: 2