getting started with gcloud / create gcloud vm with ssh access / ssh into gcloud vm / delete gcloud vm

gcloud-0.txt

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# Getting started with GCloud.

# You'll need a google developer account, so that you have access to the GCloud
# console. You'll need to create a GCloud project and attach a Billing Method
# to it. After that you'll need to install the gcloud API.

# On Ubuntu, you can do that really quickly with Snap.
sudo snap install google-cloud-cli --classic

# ... and then add the tools to your PATH and enable commmand completion by
# sourcing the "gcloud/completion.bash.inc" file (e.g., in your bash profile).
# You can find the file path like this:
sudo find / -name completion.bash.inc 2>/dev/null
# And you can source the file like this
. /path/to/gcloud/completion.bash.inc


# Now you can start the gcloud CLI, which is written in Python 3.4+ .
gcloud init

# Follow the prompts until you have what you need to run `gcloud projects list`
# successfully.

# List projects (the command you just ran to check your gcloud CLI is set up)
gcloud projects list

# Read off your gcloud PROJECT_ID.

# (optional) List networks
# gcloud compute networks list --project=$PROJECT_ID

# We will use the "default" network, so this step is optional.

# (optional) List subnets
# gcloud compute networks subnets list --network=default --project=$PROJECT_ID

# Just to see what subnet each region gets, which might matter to you.

# List regions
gcloud compute regions list

# Pick a gcloud REGION.

# List zones
gcloud compute zones list --filter="region=$REGION"

# Pick a gcloud ZONE.

# List machine types in zone.
gcloud compute machine-types list --zones="$ZONE"

# Pick a MACHINE_TYPE, and save for later. You may have to research them.

# List image project for os type, e.g., for ubuntu. You can also leave off the
# --filter option and use grep instead
gcloud compute images list --filter="family=ubuntu"

# Read off the IMAGE_PROJECT and IMAGE_FAMILY.

# Know the BOOT_DISK_TYPE you want. Solid-state drives are more expensive to run
# on. If you don't specify the boot disk type AND you're using the gcloud CLI
# (and not the cloud shell), it will use "pd-standard" by default.

# To make it interesting, we add a public SSH key. GCloud will automatically put
# the key into a file in the authorized directory, as well as in the instance
# metadata. The $USERNAME specified by the --metadata option will be
# created with root level access for SSH sessions, and should match the USERNAME
# used to create the key in the command below.

# Create SSH key. You pick the PUBLIC_KEY_PATH.
ssh-keygen -t ed25519 -f $PUBLIC_KEY_PATH -C $USERNAME -b 2048

# Create VM
gcloud compute instances create $INSTANCE_NAME
    --metadata="ssh-keys=$REMOTE_USER:$(cat $PUBLIC_KEY_PATH)" \
    --zone=$ZONE \
    --machine-type=$MACHINE_TYPE \
    --image-project=$IMAGE_PROJECT \
    --image-family=$IMAGE_FAMILY \
    --boot-disk-type=$BOOT_DISK_TYPE

# E.g.
#
# gcloud compute instances create my-instance \
#    --metadata="ssh-keys=$USERNAME:$(cat ~/.ssh/id_ed25519.pub)" \
#    --zone=us-west1-b \
#    --machine-type=t2d-standard-8 \
#    --image-project=ubuntu-os-cloud \
#    --image-family=ubuntu-2204-lts \
#    --boot-disk-type=pd-standard

# You can also add the --boot-disk-size flag. If not specified, the default size
# for the image family and image project are used

# Read off the VM's PUBLIC_IP address. You can SSH to that with your secure
# ed25519 2048-bit encrypted connection.

# (Optional) List all VMs
#gcloud compute instances list

# (Optional) Describe a specific VM
#gcloud compute instances describe $INSTANCE_NAME --zone=$ZONE

# Connect to your Linux VM in the Google Cloud
ssh $USERNAME@$PUBLIC_IP

# Do stuff in your Ubuntu VM! Remember, you pay for IO and compute time. So if
# you just dont' DO anything, you're paying basically nothing.

# Anyways let's walk out and blow it up.
<VM SHELL> exit

# Delete VM
gcloud compute instances delete [ $INSTANCE_ID | $INSTANCE_NAME ] --zone=$ZONE

# E.g.
#
# gcloud compute instances delete my-instance --zone=us-west1-b

# All done!

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