Pipeline: Correct one DynamoDB table with stale data

Overview

DynamoDB tables can be quite costly to retain, it is also likely that after a certain point in time they're no longer required and should be cleaned up to prevent further costs.

This pipeline allows you to specify a single DynamoDB tables and then either send a notification or attempt to perform a predefined corrective action.

Whilst it is possible to utilise this pipeline standalone, it is usually called from the correct_dynamodb_tables_with_stale_data pipeline.

Run the pipeline

To run this pipeline from your terminal:

flowpipe pipeline run aws_thrifty.pipeline.correct_one_dynamodb_table_with_stale_data \
  --arg 'title=<string>' \
  --arg 'name=<string>' \
  --arg 'region=<string>' \
  --arg 'conn=<connection.aws>'

Use this pipeline

To call this pipeline from your pipeline, use a step:

step "pipeline" "step_name" {
  pipeline = aws_thrifty.pipeline.correct_one_dynamodb_table_with_stale_data  
  args = {
    title = <string>
    name = <string>
    region = <string>
    conn = <connection.aws>
  }
}

Params

Name	Type	Required	Description	Default
title	string	Yes	Title of the resource, to be used as a display name.	-
name	string	Yes	The name of the DynamoDB table.	-
region	string	Yes	AWS Region of the resource(s).	-
conn	connection.aws	Yes	Name of the AWS connection to be used for any authenticated actions.	-
notifier	notifier	Yes	The name of the notifier to use for sending notification messages.	`notifier.default`
notification_level	string `info`, `verbose`, `error`	Yes	The verbosity level of notification messages to send. Valid options are 'verbose', 'info', 'error'.	`info`
approvers	list(notifier)	Yes	List of notifiers to be used for obtaining action/approval decisions.	`notifier.default`
default_action	string `notify`, `skip`, `delete_table`	Yes	The default action to use for the detected item, used if no input is provided.	`notify`
enabled_actions	list(string) `skip`, `delete_table`	Yes	The list of enabled actions to provide to approvers for selection.	`[ "skip", "delete_table" ]`

Outputs