Get Machine Type

compute_engine.get_machine_type
ActionGoogle Cloudconnection required

Calls compute v1 GET /projects/{project}/zones/{zone}/machineTypes/{machineType}.

Returns the specified machine type.

Connection

Required
Yes — the node will not save without one
Auth type
OAuth 2.0
Providers
Google Compute Engine
Secret shape
{"client_id", "client_secret", "refresh_token"}
Config it needs
project_id, zone
Resolved by
config.connection_id, else node.connection_id

Configuration

2 fields, 1 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
zone
Zone (overrides connection).
stringNo———
machine_type
Machine type name or id.
stringYes———

Output

One shape.

result

Extra keys beyond the ones listed can appear.

FieldTypeExample
accelerators
array—
architecture
string—
bundledLocalSsds
object—
creationTimestamp
string—
deprecated
object—
description
string—
guestCpus
integer—
id
string—
imageSpaceGb
integer—
isSharedCpu
boolean—
kind
string—
maximumPersistentDisks
integer—
maximumPersistentDisksSizeGb
string—
memoryMb
integer—
name
string—
selfLink
string—
zone
string—
{
  "accelerators": [],
  "architecture": "",
  "bundledLocalSsds": {},
  "creationTimestamp": "",
  "deprecated": {},
  "description": "",
  "guestCpus": 0,
  "id": "",
  "imageSpaceGb": 0,
  "isSharedCpu": false,
  "kind": "",
  "maximumPersistentDisks": 0,
  "maximumPersistentDisksSizeGb": "",
  "memoryMb": 0,
  "name": "",
  "selfLink": "",
  "zone": ""
}

See Get Machine Type run in a workflow.

In a technical demo we add the Google Compute Engine connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.