Learn how to use Terraform's lifecycle meta-argument "ignore_changes" to manage configuration drift and prevent unintended modifications within specific sub-blocks of your infrastructure code.
In Terraform, the ignore_changes
meta-argument allows you to specify resource attributes that Terraform should not manage. This is helpful when external factors might modify these attributes, and you want to prevent Terraform from overriding those changes. This article explains how to use ignore_changes
effectively and highlights important considerations to keep in mind.
The ignore_changes
meta-argument in Terraform allows you to specify resource attributes that Terraform should ignore when determining if a resource needs to be updated. This is useful for situations where a resource attribute might be changed outside of Terraform, or when you want to prevent Terraform from making changes to a specific attribute.
To use ignore_changes
, you include it within a lifecycle
block within a resource definition. The value of ignore_changes
is a list of strings, where each string is a path to an attribute within the resource.
For example, to ignore changes to the tags
attribute of an AWS S3 bucket, you would use the following configuration:
resource "aws_s3_bucket" "example" {
bucket = "my-bucket"
lifecycle {
ignore_changes = [tags]
}
}
You can also use wildcards in the attribute path to ignore changes to multiple attributes. For example, to ignore changes to all attributes within the settings
block of an AWS CloudFront distribution, you would use the following configuration:
resource "aws_cloudfront_distribution" "example" {
# ... other configuration ...
lifecycle {
ignore_changes = ["settings.0.*]
}
}
It's important to note that ignore_changes
should be used with caution. If you ignore changes to an important attribute, it could lead to your infrastructure being out of sync with your Terraform configuration.
Here are some additional things to keep in mind when using ignore_changes
:
ignore_changes
only applies to changes made after it is added to the configuration. If an attribute has already been changed, Terraform will continue to manage it unless you manually revert the change.ignore_changes
does not prevent Terraform from deleting or recreating a resource. If you delete a resource that has ignore_changes
configured, Terraform will recreate it with the default values for the ignored attributes.ignore_changes
can be applied to individual elements within a list by specifying the index of the element. For example, to ignore changes to the configuration
block of the first action in the first stage of an API Gateway deployment, you would use the following configuration:resource "aws_api_gateway_deployment" "example" {
# ... other configuration ...
lifecycle {
ignore_changes = ["stage.0.action.0.configuration.0.*"]
}
}
Overall, ignore_changes
is a powerful feature that can be useful in certain situations. However, it's important to understand how it works and to use it with caution to avoid unintended consequences.
The text provides examples of using the ignore_changes
lifecycle argument in Terraform to manage changes to specific resource attributes. It includes examples for ignoring changes to S3 bucket tags, CloudFront distribution settings, and API Gateway configurations. The text emphasizes caution when using ignore_changes
as it can lead to configuration drift if not managed properly. It also notes that ignore_changes
only affects changes made after its implementation and doesn't prevent resource deletion or recreation. The text concludes by recommending thorough testing after implementing ignore_changes
to avoid unexpected consequences.
Here are some examples demonstrating the use of ignore_changes
in Terraform:
1. Ignoring Changes to S3 Bucket Tags:
This example shows how to ignore changes to the tags
attribute of an AWS S3 bucket:
resource "aws_s3_bucket" "example" {
bucket = "my-bucket"
lifecycle {
ignore_changes = [tags]
}
}
2. Ignoring Changes to CloudFront Distribution Settings:
This example demonstrates ignoring changes to all attributes within the settings
block of an AWS CloudFront distribution:
resource "aws_cloudfront_distribution" "example" {
origin {
domain_name = "my-bucket.s3.amazonaws.com"
origin_id = "S3-my-bucket"
custom_origin_config {
http_port = 80
https_port = 443
origin_protocol_policy = "http-only"
origin_ssl_protocols = ["TLSv1.2"]
}
}
enabled = true
default_root_object = "index.html"
default_cache_behavior {
allowed_methods = ["GET", "HEAD"]
cached_methods = ["GET", "HEAD"]
target_origin_id = "S3-my-bucket"
forwarded_values {
query_string = false
cookies {
forward = "none"
}
}
viewer_protocol_policy = "redirect-to-https"
min_ttl = 0
}
price_class = "PriceClass_All"
restrictions {
geo_restriction {
restriction_type = "none"
}
}
viewer_certificate {
cloudfront_default_certificate = true
}
lifecycle {
ignore_changes = ["settings.0.*"]
}
}
3. Ignoring Changes to Specific API Gateway Configuration:
This example illustrates ignoring changes to the configuration
block of the first action in the first stage of an API Gateway deployment:
resource "aws_api_gateway_deployment" "example" {
rest_api_id = aws_api_gateway_rest_api.example.id
stage_name = "prod"
lifecycle {
ignore_changes = ["stage.0.action.0.configuration.0.*"]
}
}
resource "aws_api_gateway_rest_api" "example" {
name = "my-api"
description = "My API Gateway"
}
Important Considerations:
ignore_changes
cautiously as it can lead to configuration drift.ignore_changes
will be recreated with default values for ignored attributes.Remember to thoroughly test your Terraform code and infrastructure after implementing ignore_changes
to avoid unexpected consequences.
Configuration Drift: While ignore_changes
is useful, it can lead to configuration drift where your Terraform code no longer accurately reflects the actual state of your infrastructure. Regularly review resources with ignore_changes
to ensure they haven't deviated from your intended configuration. Consider using tools or scripts to help you detect and reconcile drift.
Alternatives to ignore_changes
: Before using ignore_changes
, explore alternative solutions. For instance:
Partial Attribute Management: You can't use ignore_changes
to ignore changes to a specific part of a complex attribute (like a single key in a map). If you need this level of granularity, consider refactoring your Terraform code or using external tools to manage those specific attributes.
State Manipulation: Avoid manually modifying the Terraform state to work around ignore_changes
issues. This can lead to inconsistencies and make your infrastructure harder to manage. If you need to make changes outside of Terraform, update your code to reflect those changes as soon as possible.
Testing: Thoroughly test your Terraform code, including scenarios where external changes might occur to resources with ignore_changes
. This helps ensure your infrastructure behaves as expected and minimizes the risk of unexpected consequences.
Documentation: Clearly document why you're using ignore_changes
for specific resources and attributes. This helps other team members understand your reasoning and avoid accidental modifications.
Feature | Description |
---|---|
Purpose | Instructs Terraform to disregard changes made to specific resource attributes, preventing unnecessary updates. |
Implementation | Add a lifecycle block with an ignore_changes argument to the desired resource definition. |
Syntax | ignore_changes = [<list of attribute paths>] |
Attribute Paths | Use strings to specify attribute paths. Wildcards (* ) can target multiple attributes. |
Examples | - ignore_changes = ["tags"] ignores changes to the tags attribute. - ignore_changes = ["settings.0.*] ignores changes to all attributes within the first element of the settings block. |
Cautions | - Use sparingly as it can lead to infrastructure drift. - Only affects changes made after its implementation. - Doesn't prevent resource deletion/recreation (defaults will be used for ignored attributes). |
Advanced Usage | Target specific list elements using their index: ignore_changes = ["stage.0.action.0.configuration.0.*"]
|
In essence: ignore_changes
provides granular control over Terraform's change management, but requires careful consideration to avoid configuration discrepancies.
The ignore_changes
meta-argument in Terraform is a powerful tool for managing resource attributes that might be modified outside of Terraform's control. By using ignore_changes
, you can prevent Terraform from overriding changes made by external systems or users. However, it's crucial to use this feature judiciously. Ignoring changes to critical attributes can lead to configuration drift and inconsistencies between your infrastructure and Terraform code. Always carefully consider the potential implications before using ignore_changes
, and prioritize alternative solutions like data sources or modularization when possible. Remember to thoroughly test your code, document your decisions, and regularly review resources with ignored changes to ensure your infrastructure remains consistent and manageable.