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@@ -1059,7 +1059,7 @@ creation and on-boarding process in parallel.
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These are managed through Step Function state machines.
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1. Navigate to the [AWS Step Functions service](https://us-east-1.console.aws.amazon.com/states/home?region=us-east-1#/statemachines)
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in the management account in `us-east-1`.
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in the management account in `us-east-1` or `cn-north-1`.
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2. Check the `AccountManagementStateMachine...` state machine, all recent
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invocations since we performed the update should succeed. It could be the
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case that there are no invocations at all. In that case, wait a minute and
@@ -1138,10 +1138,11 @@ Alternatively, you can also perform the update using the AWS CLI.
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If you wish to remove ADF you can delete the CloudFormation stack named
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`serverlessrepo-aws-deployment-framework`in the management account in
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the `us-east-1` region. This will remove most resources created by ADF
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in the management account. With the exception of S3 buckets and SSM parameters.
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If you bootstrapped ADF into the management account you need to manually remove
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the bootstrap stacks as well.
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the `us-east-1` region for global partition deployments; for China deployments
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in `cn-north-1` region. This will remove most resources created by ADF in the management
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account. With the exception of S3 buckets and SSM parameters. If you bootstrapped
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ADF into the management account you need to manually remove the bootstrap stacks
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as well.
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Feel free to delete the S3 buckets, SSM parameters that start with the `/adf`
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prefix, as well as other CloudFormation stacks such as:
@@ -1164,7 +1165,7 @@ the base stack when the account is moved to the Root of the AWS Organization.
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One thing to keep in mind if you are planning to re-install ADF is that you
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will want to clean up the parameter from SSM Parameter Store. You can safely
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remove all `/adf` prefixed SSM parameters. But most importantly, you need to
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remove the `/adf/deployment_account_id` in `us-east-1` on the
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remove the `/adf/deployment_account_id` in `us-east-1` or `cn-north-1` on the
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management account.
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As AWS Step Functions uses this parameter to determine if ADF has already got a
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deployment account setup. If you re-install ADF with this parameter set to a
@@ -1187,7 +1188,7 @@ There are two ways to enable this:
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to deploy the latest version again, set the `Log Level` to `DEBUG` to get
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extra logging information about the issue you are experiencing.
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2. If you are running an older version of ADF, please navigate to the
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CloudFormation Console in `us-east-1` of the AWS Management account.
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CloudFormation Console in `us-east-1` or `cn-north-1` of the AWS Management account.
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3. Update the stack.
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4. For any ADF deployment of `v3.2.0` and later, please change the `Log Level`
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parameter and set it to `DEBUG`. Deploy those changes and revert them after
@@ -1202,7 +1203,7 @@ Please trace the failed component and dive into/report the debug information.
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The main components to look at are:
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1. In the AWS Management Account in `us-east-1`:
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1. In the AWS Management Account in `us-east-1` or `cn-north-1`:
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2. The [CloudFormation aws-deployment-framework stack](https://console.aws.amazon.com/cloudformation/home?region=us-east-1#/stacks?filteringStatus=active&filteringText=aws-deployment-framework&viewNested=true&hideStacks=false).
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3. The [CloudWatch Logs for the Lambda functions deployed by ADF](https://console.aws.amazon.com/lambda/home?region=us-east-1#/functions?f0=true&n0=false&op=and&v0=ADF).
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4. Check if the [CodeCommit pull
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branch for the `aws-deployment-framework-bootstrap` (ADF Bootstrap) repository.
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5. The [CodePipeline execution of the AWS Bootstrap pipeline](https://console.aws.amazon.com/codesuite/codepipeline/pipelines/aws-deployment-framework-bootstrap-pipeline/view?region=us-east-1).
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6. Navigate to the [AWS Step Functions service](https://us-east-1.console.aws.amazon.com/states/home?region=us-east-1#/statemachines)
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in the management account in `us-east-1`. Check the state machines named
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in the management account in `us-east-1` or `cn-north-1`. Check the state machines named
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`AccountManagementStateMachine...`and
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`AccountBootstrappingStateMachine...`. Look at recent executions only.
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- When you find one that has a failed execution, check the components that
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