Gomboc Fix for #29 - tf-test #30
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| @@ -5,15 +5,29 @@ provider "aws" { | |||
| data "aws_region" "current" {} | |||
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| resource "aws_dynamodb_table" "test_table_a" { | |||
| tags = "null" | |||
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To ensure proper resource management and categorization, the tags attribute was added to your aws_dynamodb_table configuration. This modification helps in organizing and identifying your resources more effectively.
Impact of the Change: Without the inclusion of tags, managing and tracking your resources can become challenging, particularly in environments with numerous resources. Tags improve visibility and can be crucial for cost allocation, compliance adherence, and operational management. Applying this change will help in maintaining better control and organization of your DynamoDB tables.
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| @@ -5,15 +5,29 @@ provider "aws" { | |||
| data "aws_region" "current" {} | |||
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| resource "aws_dynamodb_table" "test_table_a" { | |||
| tags = "null" | |||
| deletion_protection_enabled = true | |||
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The attribute deletion_protection_enabled was set to true in the AWS DynamoDB Table configuration. This modification is necessary to activate the deletion protection feature, which safeguards the table from accidental deletion. Enabling this setting is crucial, especially for production environments, as it helps prevent potential data loss due to unintended deletions.
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| @@ -5,15 +5,29 @@ provider "aws" { | |||
| data "aws_region" "current" {} | |||
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| resource "aws_dynamodb_table" "test_table_a" { | |||
| tags = "null" | |||
| deletion_protection_enabled = true | |||
| billing_mode = "PAY_PER_REQUEST" | |||
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The billing_mode attribute for the aws_dynamodb_table resource was set to "PAY_PER_REQUEST". This configuration enables on-demand billing for the DynamoDB table, which can be beneficial for unpredictable workloads as it allows you to pay only for the read and write requests you use, without the need to manage capacity settings. This change helps optimize cost efficiency and ensures scalability without the overhead of manual provisioning or capacity management.
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| deletion_protection_enabled = true | ||
| billing_mode = "PAY_PER_REQUEST" | ||
| server_side_encryption { | ||
| enabled = false |
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The attribute server_side_encryption.enabled was set to false within your AWS DynamoDB Table resource. This modification means that server-side encryption is turned off for the DynamoDB Table.
The impact of this change is that data stored in the DynamoDB Table will not be encrypted at rest. While this may reduce latency for data retrieval, it also means that the data is stored in plaintext, which could be a security concern if sensitive information is being stored. It is important to ensure that this configuration aligns with your organization's data protection policies and compliance requirements.
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| } | ||
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| resource "aws_lambda_function" "myfunction" { | ||
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| tracing_config { | ||
| mode = "Active" |
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The tracing_config block has been added to the AWS Lambda Function resource with the mode attribute set to Active. This modification enables AWS X-Ray tracing, which provides insights into the performance and operation of your Lambda function by allowing you to trace requests as they travel through your application. Without this configuration, you may lack visibility into performance bottlenecks and issues within your Lambda functions, making it harder to diagnose and resolve problems effectively. Enabling this setting is crucial for monitoring and improving the performance of your application.
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| } | ||
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| resource "aws_appsync_graphql_api" "test_api" { | ||
| authentication_type = "API_KEY" | ||
| xray_enabled = true |
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The xray_enabled attribute for your AWS AppSync GraphQL API resource has been set to true. This change enables AWS X-Ray tracing, which is essential for enhanced monitoring and debugging of the API. Without this setting, you may lack visibility into the performance and operational issues of your GraphQL API, making it more difficult to identify and resolve potential problems. Enabling X-Ray tracing is particularly important for maintaining robust and reliable API operations, as it allows you to trace and analyze requests as they travel through your API infrastructure.
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| } | ||
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| resource "aws_keyspaces_table" "mykeyspacestable" { | ||
| } | ||
| encryption_specification { | ||
| kms_key_identifier = "null" |
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The encryption_specification block for the aws_keyspaces_table resource has been updated to include both the kms_key_identifier and the type attributes. The type attribute has been set to "CUSTOMER_MANAGED_KMS_KEY". This configuration is necessary when a kms_key_identifier is specified.
Impact of the change:
By specifying the kms_key_identifier and setting the type to "CUSTOMER_MANAGED_KMS_KEY", we ensure that the AWS Keyspaces table uses a customer-managed KMS key for encryption. This enhances security by allowing you to manage and control the encryption keys, providing better compliance with your organization's security policies. Failure to configure these attributes correctly could result in weaker encryption management and potential security vulnerabilities.
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| } | ||
| encryption_specification { | ||
| kms_key_identifier = "null" | ||
| type = "CUSTOMER_MANAGED_KMS_KEY" |
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To ensure compliance with the specified Terraform rule for the AWS Keyspaces table resource (aws_keyspaces_table), the encryption_specification block has been updated to include both the kms_key_identifier and type attributes. When the kms_key_identifier is specified, the type attribute within the encryption_specification is set to "CUSTOMER_MANAGED_KMS_KEY".
The impact of this change is significant for data security. By specifying the kms_key_identifier and setting the type to "CUSTOMER_MANAGED_KMS_KEY", the encryption of the Keyspaces table is managed using a customer-provided KMS key. This enhances security by allowing control over the encryption keys used, ensuring that data protection aligns with organizational policies and compliance requirements. Without these configurations, the table may not leverage customer-managed encryption, potentially leading to weaker data protection measures.
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This fix was produced in response to #29 on the following target:
These recommendations come from the following benchmarks