aws_synthetics_canary resource

Use the aws_synthetics_canary Chef InSpec audit resource to test properties of a single AWS Synthetics Canary.

For additional information, including details on parameters and properties, see the AWS documentation on the AWS::Synthetics::Canary resource.

Syntax

Ensure that the canary exists.

describe aws_synthetics_canary(name: 'CANARY_NAME') do
  it { should exist }
end

Parameters

name (required)

The name of the canary.

Properties

id

The unique ID of this canary.

name

The name of the canary.

code.source_location_arn

The ARN of the Lambda layer where Synthetics stores the canary script code.

code.handler

The entry point to use for the source code when running the canary.

execution_role_arn

The ARN of the IAM role used to run the canary.

schedule.expression

A rate expression or a cron expression that defines how often the canary is to run.

schedule.duration_in_seconds

How long, in seconds, for the canary to continue making regular runs after it was created. The runs are performed according to the schedule in the Expression value.

run_config.timeout_in_seconds

How long the canary is allowed to run before it must stop.

run_config.memory_in_mb

The maximum amount of memory available to the canary while it is running, in MB. This value must be a multiple of 64.

run_config.active_tracing

Displays whether this canary run used active X-Ray tracing.

success_retention_period_in_days

The number of days to retain data about successful runs of this canary.

failure_retention_period_in_days

The number of days to retain data about failed runs of this canary.

status.state

The current state of the canary.

status.state_reason

If the canary has insufficient permissions to run, this field provides more details.

status.state_reason_code

If the canary cannot run or has failed, this field displays the reason.

timeline.created

The date and time the canary was created.

timeline.last_modified

The date and time the canary was most recently modified.

timeline.last_started

The date and time that the canary’s most recent run started.

timeline.last_stopped

The date and time that the canary’s most recent run ended.

artifact_s3_location

The location in Amazon S3 where Synthetics stores artifacts from the runs of this canary.

engine_arn

The ARN of the Lambda function that is used as your canary’s engine.

runtime_version

Specifies the runtime version to use for the canary.

vpc_config.vpc_id

The IDs of the VPC where this canary is to run.

vpc_config.subnet_ids

The IDs of the subnets where this canary is to run.

vpc_config.security_group_ids

The IDs of the security groups for this canary.

visual_reference.base_screenshots

An array of screenshots that are used as the baseline for comparisons during visual monitoring.

visual_reference.base_canary_run_id

The ID of the canary run that produced the screenshots that are used as the baseline for visual monitoring comparisons during future runs of this canary.

tags

The list of key-value pairs that are associated with the canary.

artifact_config.s3_encryption.encryption_mode

The encryption method to use for artifacts created by this canary.

artifact_config.s3_encryption.kms_key_arn

The ARN of the customer-managed KMS key to use, if you specify SSE-KMS for EncryptionMode.

Examples

Ensure a canary name is available:

describe aws_synthetics_canary(name: 'CANARY_NAME') do
  its('name') { should eq 'CANARY_NAME' }
end

Ensure a state is READY:

describe aws_synthetics_canary(name: 'CANARY_NAME') do
  its('status.state') { should eq 'READY' }
end

Matchers

This resource has the following special matchers.

exist

Use should to test that the entity exists.

describe aws_synthetics_canary(name: 'CANARY_NAME') do
  it { should exist }
end

Use should_not to test the entity does not exist.

describe aws_synthetics_canary(name: 'CANARY_NAME') do
  it { should_not exist }
end

AWS Permissions

Your AWS principal will need the Synthetics:Client:GetCanaryResponse action with Effect set to Allow.