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GCPcloud~10 mins

Instance templates in GCP - Step-by-Step Execution

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Process Flow - Instance templates
Create Instance Template
Define VM Settings
Save Template
Use Template to Create VMs
VMs Launch with Template Settings
Manage or Update Template
Apply Updated Template to New VMs
You create an instance template by defining VM settings, save it, then use it to launch multiple VMs with the same configuration.
Execution Sample
GCP
gcloud compute instance-templates create my-template \
  --machine-type=e2-medium \
  --image-family=debian-11 \
  --image-project=debian-cloud
This command creates an instance template named 'my-template' with a specific machine type and Debian image.
Process Table
StepActionInput/CommandResult/State
1Start creating instance templategcloud compute instance-templates create my-templateTemplate creation initiated
2Set machine type--machine-type=e2-mediumMachine type set to e2-medium
3Set image family and project--image-family=debian-11 --image-project=debian-cloudImage set to Debian 11 from debian-cloud project
4Save templateCommand execution completesInstance template 'my-template' created and saved
5Use template to create VMgcloud compute instances create vm-1 --source-instance-template=my-templateVM 'vm-1' created with template settings
6Verify VM settingsCheck VM machine type and imageVM 'vm-1' has e2-medium machine and Debian 11 image
7Update template (optional)Create new template or modify settingsNew or updated template ready for future VMs
8ExitNo further commandsProcess complete
💡 All steps completed; instance template created and used to launch VM
Status Tracker
VariableStartAfter Step 2After Step 3After Step 4After Step 5Final
Template NameNonemy-templatemy-templatemy-templatemy-templatemy-template
Machine TypeNonee2-mediume2-mediume2-mediume2-mediume2-medium
ImageNoneNonedebian-11 (debian-cloud)debian-11 (debian-cloud)debian-11 (debian-cloud)debian-11 (debian-cloud)
VM CreatedNoNoNoNoYes (vm-1)Yes (vm-1)
Key Moments - 3 Insights
Why do we create an instance template instead of configuring each VM manually?
Instance templates let you define VM settings once and reuse them, saving time and ensuring consistency, as shown in steps 1-5 of the execution table.
Can we change the settings of an existing instance template after creation?
No, instance templates are immutable. To change settings, create a new template as indicated in step 7.
What happens if we launch a VM without specifying an instance template?
You must manually specify all VM settings. Using a template automates this, as shown in step 5 where the VM inherits template settings.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table, what machine type is set after step 2?
Ae2-small
Bn1-standard-1
Ce2-medium
Dcustom
💡 Hint
Check the 'Machine Type' variable in variable_tracker after Step 2
At which step is the VM 'vm-1' created using the instance template?
AStep 5
BStep 3
CStep 7
DStep 2
💡 Hint
Look for 'VM Created' status change in variable_tracker and 'Use template to create VM' in execution_table
If you want to change the VM image for future VMs, what should you do according to the execution flow?
AUpdate the VM after creation
BCreate a new instance template with the new image
CModify the existing instance template directly
DDelete the VM and recreate it
💡 Hint
Refer to step 7 in execution_table and key_moments about template immutability
Concept Snapshot
Instance templates define VM settings once
They include machine type, image, and other configs
Templates are immutable after creation
Use templates to launch consistent VMs quickly
Update by creating new templates
Simplifies VM management at scale
Full Transcript
Instance templates in Google Cloud let you save VM configurations like machine type and image in one reusable template. You start by creating a template with commands specifying these settings. Once saved, you can launch multiple VMs using this template, ensuring they all have the same setup. Templates cannot be changed after creation; to update settings, you create a new template. This process saves time and keeps VM setups consistent across your cloud environment.