Google Compute Engine (GCE)#

The GCP Compute Engine backend of Lithops can provide a serverless user experience on top of GCE where Lithops creates new Virtual Machines (VMs) dynamically at runtime and scales Lithops jobs against them (create and reuse modes). Alternatively Lithops can start and stop an existing VM instance (consume mode).

The backend key is gcp_compute_engine (matches the Lithops module name).

Choose an operating system image for the VM#

Any VM needs an operating system image. By default Lithops uses Ubuntu 24.04 (projects/ubuntu-os-cloud/global/images/family/ubuntu-2404-lts-amd64). Lithops installs required dependencies on the VM on first use (this can take a few minutes).

For faster startups, build a pre-configured custom image (see runtime/gcp_compute_engine):

lithops image build -b gcp_compute_engine

This creates lithops-ubuntu-2404-lts-amd64-server in your project; Lithops uses it automatically when present.

To list available images:

lithops image list -b gcp_compute_engine

Use the Image ID column as source_image in your config when using a custom image name.

Installation#

  1. Install GCP backend dependencies:

python3 -m pip install lithops[gcp]

Create and reuse modes#

In the create mode, Lithops automatically creates new worker VM instances at runtime, runs the job on them, and deletes the workers when the job completes (unless configured otherwise).

In the reuse mode, Lithops keeps the master and worker VMs stopped between jobs and starts them again when needed. It reuses running workers when possible and only creates new workers if necessary.

Configuration#

  1. Enable the Compute Engine API:

gcloud services enable compute.googleapis.com --project <PROJECT_ID>
  1. Create a service account (or use an existing one) and grant these roles on the project:

gcloud projects add-iam-policy-binding <PROJECT_ID> \
  --member="serviceAccount:<SERVICE_ACCOUNT_EMAIL>" \
  --role="roles/compute.admin"

gcloud projects add-iam-policy-binding <PROJECT_ID> \
  --member="serviceAccount:<SERVICE_ACCOUNT_EMAIL>" \
  --role="roles/storage.objectAdmin"
  1. Set the Lithops config file:

lithops:
  backend: gcp_compute_engine

gcp:
  credentials_path: <FULL_PATH_TO_SERVICE_ACCOUNT_JSON>

gcp_compute_engine:
  project_name: <GCP_PROJECT_ID>
  zone: <ZONE>
  exec_mode: reuse

Lithops attaches the service account from credentials_path to master and worker VMs so they can access GCS via the metadata service. You can set service_account: <EMAIL> explicitly if needed.

Summary of configuration keys for GCP#

Group

Key

Default

Mandatory

Additional info

gcp

credentials_path

no

Service account JSON used by Lithops on your machine and to select the VM service account

gcp

region

no

GCP region. Derived from zone if omitted

GCE - Create and Reuse Modes#

Group

Key

Default

Mandatory

Additional info

gcp_compute_engine

project_name

yes

GCP project ID

gcp_compute_engine

zone

yes

Compute Engine zone, for example us-east1-b

gcp_compute_engine

region

derived from zone

no

Region used for subnet and NAT

gcp_compute_engine

service_account

no

Service account email attached to VMs. Default: client_email from credentials_path

gcp_compute_engine

network_name

no

Existing VPC name. If not provided, Lithops creates a new network

gcp_compute_engine

subnet_name

no

Existing subnet name when using a custom VPC

gcp_compute_engine

source_image

ubuntu-2404-lts-amd64

no

Boot image reference

gcp_compute_engine

master_instance_type

e2-small

no

Master VM machine type

gcp_compute_engine

worker_instance_type

e2-standard-2

no

Worker VM machine type

gcp_compute_engine

ssh_username

ubuntu

no

Username to access the VM

gcp_compute_engine

ssh_password

no

Password for worker VMs. If not provided, it is created randomly

gcp_compute_engine

ssh_key_filename

no

SSH private key for the master VM. If not provided, Lithops creates ~/.ssh/lithops-key-<id>.gcp_ce.id_rsa

gcp_compute_engine

request_spot_instances

False

no

Use Spot VMs for workers

gcp_compute_engine

delete_on_dismantle

True

no

Delete worker VMs when stopped. Master VM is never deleted when stopped

gcp_compute_engine

max_workers

100

no

Max number of workers per FunctionExecutor()

gcp_compute_engine

worker_processes

AUTO

no

Parallel Lithops processes per worker. Default: CPUs of worker_instance_type

gcp_compute_engine

runtime

python3

no

Runtime name. Default: python3 on the VM

gcp_compute_engine

auto_dismantle

True

no

If False, VMs are not stopped automatically

gcp_compute_engine

soft_dismantle_timeout

300

no

Seconds to stop the VM after a job completed

gcp_compute_engine

hard_dismantle_timeout

3600

no

Seconds to stop the VM after a job started

gcp_compute_engine

exec_mode

reuse

no

One of: consume, create or reuse

gcp_compute_engine

extra_apt_packages

[]

no

Extra apt packages on master/worker VMs during setup

gcp_compute_engine

extra_python_packages

[]

no

Extra pip packages on master/worker VMs after Lithops

Consume mode#

In this mode, Lithops uses an existing VM. The VM must be reachable by SSH and have a service account with GCS access.

Configuration#

lithops:
  backend: gcp_compute_engine

gcp:
  credentials_path: <FULL_PATH_TO_SERVICE_ACCOUNT_JSON>

gcp_compute_engine:
  exec_mode: consume
  project_name: <GCP_PROJECT_ID>
  zone: <ZONE>
  instance_name: <EXISTING_VM_NAME>

Summary of configuration keys for the consume mode#

Group

Key

Default

Mandatory

Additional info

gcp_compute_engine

instance_name

yes

Existing VM instance name

gcp_compute_engine

project_name

yes

GCP project ID

gcp_compute_engine

zone

yes

Compute Engine zone

gcp_compute_engine

ssh_username

ubuntu

no

Username to access the VM

gcp_compute_engine

ssh_key_filename

no

Path to the SSH private key. If not provided, Lithops creates ~/.ssh/lithops-key-<id>.gcp_ce.id_rsa

gcp_compute_engine

worker_processes

AUTO

no

Parallel Lithops processes per worker

Test Lithops#

Once you have your compute and storage backends configured, you can run a Hello World function with:

lithops hello -b gcp_compute_engine -s gcp_storage

Viewing the execution logs#

You can view the function execution logs on your local machine using the Lithops client:

lithops logs poll

VM Management#

Lithops for GCE follows a master-worker architecture (1:N).

All VMs, including the master, are automatically stopped after a configurable timeout (see hard/soft dismantle timeouts). Stopped master and worker VMs are started again on the next job in reuse mode.

You can open an SSH session to the master VM with:

lithops attach -b gcp_compute_engine

The master and worker VMs store Lithops service logs in /tmp/lithops-root/*-service.log.

To list available workers:

lithops worker list -b gcp_compute_engine

To list submitted jobs:

lithops job list -b gcp_compute_engine

To delete workers only:

lithops clean -b gcp_compute_engine -s gcp_storage

To delete workers, the master VM, and Lithops-created network resources:

lithops clean -b gcp_compute_engine -s gcp_storage --all

Architecture diagram#

        flowchart TB
  subgraph gcp [GCP project / region]
    NET["VPC lithops-net-XXXXXX"]
    SUB["Subnet lithops-net-XXXXXX-subnet"]
    FW1["Firewall SSH :22 from internet"]
    FW2["Firewall internal :8080/8081/6379/22"]
    NAT["Cloud Router + NAT lithops-net-XXXXXX-router"]
    M["Master VM lithops-master-XXXXXX\n+ ephemeral external IP"]
    W["Worker VMs lithops-worker-*\nprivate IP only"]
  end
  LAPTOP["Your laptop"] -->|SSH :22| M
  M -->|private network| W
  W -->|egress| NAT
  NAT --> INTERNET[Internet apt/docker/pip]
  M --> SUB
  W --> SUB
  SUB --> NET