azure_containers

Lithops runtime for Azure Container Apps

The runtime is the place where the functions are executed. In Azure Container Apps, runtimes are based on docker images, in this sense you can run functions using any Python version > 3.6.

For running lithops on Azure Container Apps, you need a runtime build on the docker hub (or any other container registry), or you need a docker hub account for placing the runtimes created by lithops.

If you don't have an already built runtime, the default runtime is built the first time you execute a function. Lithops automatically detects the Python version of your environment and deploys the default runtime based on it.

Alternatively, you can create the default runtime by running the following command:

$ lithops runtime deploy default -b azure_containers -s azure_storage

To run a function with the default runtime you don't need to specify anything in the code, since everything is managed internally by Lithops:

import lithops

def my_function(x):
    return x + 7

fexec = lithops.FunctionExecutor()
fexec.call_async(my_function, 3)
result = fexec.get_result()

By default, Lithops uses 512MB as runtime memory size (equivalent to 0.25vCPU). However, you can change it in the config by setting the desired memory size:

azure_containers:
    runtime_memory: 1024

Custom runtime

1. Build your own Lithops runtime

   If you need some Python modules (or other system libraries) which are not included in the default docker images (see table above), it is possible to build your own Lithops runtime with all of them.

   This alternative usage is based on to build a local Docker image, deploy it to the docker hub (you need a Docker Hub account) and use it as a Lithops base runtime. Project provides some skeletons of Docker images, for example:

   • Dockerfile

   To build your own runtime, first install the Docker CE version in your client machine. You can find the instructions here. If you already have Docker installed omit this step.

   Login to your Docker hub account by running in a terminal the next command.

    $ docker login
   

   Update the Dockerfile that better fits to your requirements with your required system packages and Python modules. If you need another Python version, for example Python 3.12, you must change the initial line of the Dockefile:

    $ lithops runtime build -b azure_containers docker_username/runtimename:tag 
   

   Note that Docker hub image names look like "docker_username/runtimename:tag" and must be all lower case, for example:

    $ lithops runtime build -b azure_containers myaccount/lithops-ca-custom-v312:01
   

   By default the Dockerfile should be located in the same folder from where you execute the lithops runtime command. If your Dockerfile is located in another folder, or the Dockerfile has another name, you can specify its location with the -f parameter, for example:

    $ lithops runtime build -b azure_containers -f azure_containers/Dockerfile myaccount/lithops-ca-custom-v312:01
   

   Once you have built your runtime with all of your necessary packages, you can already use it with Lithops. To do so, you have to specify the full docker image name in the configuration or when you create the FunctionExecutor instance, or directly in the config file, for example:

   import lithops
   fexec = lithops.FunctionExecutor(runtime='myaccount/lithops-ca-custom-v312:01')

   NOTE: In this previous example shows how to build a Docker image based on Python 3.12, this means that now you also need Python 3.12 in the client machine.

2. Use an already built runtime from a public repository

   Maybe someone already built a Docker image with all the packages you need, and put it in a public repository. In this case, you can use that Docker image and avoid the building process by simply specifying the image name when creating a new executor, for example:

   import lithops
   fexec = lithops.FunctionExecutor(runtime='lithopscloud/ca-conda-v312:01')

   Alternatively, you can create a Lithops runtime based on already built Docker image by executing the following command, which will deploy all the necessary information to use the runtime with your Lithops.

    $ lithops runtime deploy -b azure_containers -s azure_storage docker_username/runtimename:tag
   

   For example, you can use an already created runtime based on Python 3.12 and with the matplotlib and nltk libraries by running:

    $ lithops runtime deploy -b azure_containers -s azure_storage lithopscloud/ca-matplotlib-v312:01
   

   Once finished, you can use the runtime in your Lithops code:

   import lithops
   fexec = lithops.FunctionExecutor(runtime='lithopscloud/ca-matplotlib:v312:01')

Runtime Management

1. Update an existing runtime

   If you are a developer, and modified the Lithops source code, you need to deploy the changes before executing Lithops.

   You can update default runtime by:

    $ lithops runtime update default -b azure_containers -s azure_storage
   

   You can update any other runtime deployed in your namespace by specifying the docker image that the runtime depends on:

    $ lithops runtime update docker_username/runtimename:tag -b azure_containers -s azure_storage
   

   For example, you can update an already created runtime based on the Docker image lithopscloud/ca-matplotlib-v312:01 by:

    $ lithops runtime update lithopscloud/ca-matplotlib-v312:01 -b azure_containers -s azure_storage
   

   Alternatively, you can update all the deployed runtimes at a time by:

    $ lithops runtime update all -b azure_containers -s azure_storage
   

2. Delete a runtime

   You can also delete existing runtimes in your namespace.

   You can delete default runtime by:

    $ lithops runtime delete default -b azure_containers -s azure_storage
   

   You can delete any other runtime deployed in your namespace by specifying the docker image that the runtime depends on:

    $ lithops runtime delete docker_username/runtimename:tag -b azure_containers -s azure_storage
   

   For example, you can delete runtime based on the Docker image lithopscloud/ca-conda-v312:01 by:

    $ lithops runtime delete lithopscloud/ca-conda-v312:01 -b azure_containers -s azure_storage
   

   You can delete all the runtimes at a time by:

    $ lithops runtime delete all -b azure_containers -s azure_storage
   

3. Clean everything

   You can clean everything related to Lithops, such as all deployed runtimes and cache information, and start from scratch by simply running the next command (Configuration is not deleted):

    $ lithops clean -b azure_containers -s azure_storage