The Azure Virtual Machines client of Lithops can provide a truely serverless user experience on top of Azure VMs where Lithops creates new Virtual Machines (VMs) dynamically in runtime and scale Lithops jobs against them. Alternatively Lithops can start and stop an existing VM instances.
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Option 1: By default, Lithops uses an Ubuntu 22.04 image. In this case, no further action is required and you can continue to the next step. Lithops will install all required dependencies in the VM by itself. Notice this can consume about 3 min to complete all installations.
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Option 2: Alternatively, you can use a pre-built custom image that will greatly improve VM creation time for Lithops jobs. To benefit from this approach, navigate to runtime/azure_vms, and follow the instructions.
In this mode, Lithops can start and stop an existing VM, and deploy an entire job to that VM. The partition logic in this scenario is different from the create/reuse modes, since the entire job is executed in the same VM.
Edit your lithops config and add the relevant keys:
lithops:
backend: azure_vms
azure:
resource_group: <RESOURCE_GROUP_NAME>
region: <LOCATION>
subscription_id: <SUBSCRIPTION_ID>
azure_vms:
instance_name: <VM_NAME>
ssh_username: <SSH_USERNAME>
ssh_key_filename: <SSH_KEY_PATH>| Group | Key | Default | Mandatory | Additional info |
|---|---|---|---|---|
| azure | resource_group | yes | Name of a resource group, for example: LithopsResourceGroup |
|
| azure | region | yes | Location of the resource group, for example: westeurope, westus2, etc |
|
| azure | subscription_id | yes | Subscription ID from your account. Find it here |
| Group | Key | Default | Mandatory | Additional info |
|---|---|---|---|---|
| azure_vms | instance_name | yes | virtual server instance Name. The instance must exists in your resource group | |
| azure_vms | ssh_username | ubuntu | yes | Username to access the VM. It will use ubuntu if not provided |
| azure_vms | ssh_key_filename | ~/.ssh/id_rsa | yes | Path to the ssh key file provided to create the VM. It will use the default path if not provided |
| azure_vms | region | no | Location of the resource group, for example: westeurope, westus2, etc. Lithops will use the region set under the azure section if it is not set here |
|
| azure_vms | worker_processes | 2 | no | Number of Lithops processes within a given worker. This can be used to parallelize function activations within a worker. It is recommendable to set this value to the same number of CPUs of the VM. |
| azure_vms | runtime | python3 | no | Runtime name to run the functions. Can be a container image name. If not set Lithops will use the defeuv python3 interpreter of the VM |
| azure_vms | auto_dismantle | True | no | If False then the VM is not stopped automatically. |
| azure_vms | soft_dismantle_timeout | 300 | no | Time in seconds to stop the VM instance after a job completed its execution |
| azure_vms | hard_dismantle_timeout | 3600 | no | Time in seconds to stop the VM instance after a job started its execution |
In the create mode, Lithops will automatically create new worker VM instances in runtime, scale Lithops job against generated VMs, and automatically delete the VMs when the job is completed.
Alternatively, you can set the reuse mode to keep running the started worker VMs, and reuse them for further executions. In the reuse mode, Lithops checks all the available worker VMs and start new workers only if necessary.
Edit your lithops config and add the relevant keys:
lithops:
backend: azure_vms
azure:
resource_group: <RESOURCE_GROUP_NAME>
region: <LOCATION>
subscription_id: <SUBSCRIPTION_ID>
azure_vms:
exec_mode: reuse| Group | Key | Default | Mandatory | Additional info |
|---|---|---|---|---|
| azure | resource_group | yes | Name of a resource group, for example: LithopsResourceGroup |
|
| azure | region | yes | Location of the resource group, for example: westeurope, westus2, etc |
|
| azure | subscription_id | yes | Subscription ID from your account. Find it here |
| Group | Key | Default | Mandatory | Additional info |
|---|---|---|---|---|
| azure_vms | region | no | Azure location for deploying the VMS. For example: westeurope, westus2, etc. Lithops will use the region set under the azure section if it is not set here |
|
| azure_vms | image_id | Canonical:0001-com-ubuntu-server-jammy:22_04-lts-gen2:latest | no | Image ID. ARM resource identifier |
| azure_vms | ssh_username | ubuntu | no | Username to access the VM |
| azure_vms | ssh_password | no | Password for accessing the worker VMs. If not provided, it is created randomly | |
| azure_vms | ssh_key_filename | ~/.ssh/id_rsa | no | Path to the ssh key file provided to access the VPC. It will use the default path if not provided |
| azure_vms | master_instance_type | Standard_B1s | no | Profile name for the master VM |
| azure_vms | worker_instance_type | Standard_B2s | no | Profile name for the worker VMs |
| azure_vms | delete_on_dismantle | False | no | Delete the worker VMs when they are stopped. Master VM is never deleted when stopped. True is NOT YET SUPPORTED |
| azure_vms | max_workers | 100 | no | Max number of workers per FunctionExecutor() |
| azure_vms | worker_processes | 2 | no | Number of Lithops processes within a given worker. This can be used to parallelize function activations within a worker. It is recommendable to set this value to the same number of CPUs of a worker VM. |
| azure_vms | runtime | python3 | no | Runtime name to run the functions. Can be a container image name. If not set Lithops will use the default python3 interpreter of the VM |
| azure_vms | auto_dismantle | True | no | If False then the VM is not stopped automatically. |
| azure_vms | soft_dismantle_timeout | 300 | no | Time in seconds to stop the VM instance after a job completed its execution |
| azure_vms | hard_dismantle_timeout | 3600 | no | Time in seconds to stop the VM instance after a job started its execution |
| azure_vms | exec_mode | consume | no | One of: consume, create or reuse. If set to create, Lithops will automatically create new VMs for each map() call based on the number of elements in iterdata. If set to reuse will try to reuse running workers if exist |
| azure_vms | pull_runtime | False | no | If set to True, Lithops will execute the command docker pull <runtime_name> in each VSI before executing the a job (in case of using a docker runtime) |
| azure_vms | workers_policy | permissive | no | One of: permissive, strict. If set to strict will force creation of required workers number |
Once you have your compute and storage backends configured, you can run a hello world function with:
lithops hello -b azure_vms -s azure_storageYou can view the function executions logs in your local machine using the lithops client:
lithops logs pollThe master and worker VMs contain the Lithops service logs in /tmp/lithops-root/service.log
You can login to the master VM and get a live ssh connection with:
lithops attach -b azure_vms