Pipeline: Correct Compute engine instances exceeding max age

Correct Compute instances exceeding max age

Overview

Compute instances 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 collection of compute instances and then either send notifications or attempt to perform a predefined corrective action upon the collection.

Whilst it is possible to utilise this pipeline standalone, it is usually called from either:

Run the pipeline

To run this pipeline from your terminal:

flowpipe pipeline run gcp_thrifty.pipeline.correct_compute_instances_exceeding_max_age \
  --arg 'items=<list(object({
      title         = string
      conn          = string
      instance_name = string
      zone          = string
      project       = string
    }))>'

Use this pipeline

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

step "pipeline" "step_name" {
  pipeline = gcp_thrifty.pipeline.correct_compute_instances_exceeding_max_age  
  args = {
    items = <list(object({
      title         = string
      conn          = string
      instance_name = string
      zone          = string
      project       = string
    }))>
  }
}

Triggers

Detect & correct Compute engine instances exceeding max age

Params

Name	Type	Required	Description	Default
items	list(object({ title = string conn = string instance_name = string zone = string project = string }))	Yes		-
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.	`info`
approvers	list(notifier)	Yes	List of notifiers to be used for obtaining action/approval decisions.	`notifier.default`
default_action	string `notify`, `skip`, `stop_instance`, `terminate_instance`	Yes	The default action to use for the detected item, used if no input is provided.	`notify`
enabled_actions	list(string) `skip`, `stop_instance`, `terminate_instance`	Yes	The list of enabled actions to provide to approvers for selection.	`[ "skip", "stop_instance", "terminate_instance" ]`

Outputs

This pipeline has no outputs.