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docs/ansible_turbo_mode.rst

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+.. _ansible_turbo_mode:
+
+
+******************
+Ansible Turbo mode
+******************
+
+Following document provides overview of Ansible Turbo mode in ``kubernetes.core`` collection.
+
+.. contents::
+   :local:
+   :depth: 1
+
+
+Synopsis
+--------
+- A brief introduction about Ansible Turbo mode in ``kuberentes.core`` collection.
+- Ansible Turbo mode is an optional performance optimization. It can be enabled by installing the cloud.common collection and setting the ``ENABLE_TURBO_MODE`` environment variable.
+
+Requirements
+------------
+
+The following requirement is needed on the host that executes this module.
+
+- The ``cloud.common`` collection (https://github.com/ansible-collections/cloud.common)
+
+You will also need to set the environment variable ``ENABLE_TURBO_MODE=1`` on the managed host. This can be done in the same ways you would usually do so, for example::
+
+  ---
+  - hosts: remote
+    environment:
+      ENABLE_TURBO_MODE: 1
+    tasks:
+      ...
+
+
+Installation
+------------
+
+You can install ``cloud.common`` collection using following command::
+
+    # ansible-galaxy collection install cloud.common
+
+
+Current situation without Ansible Turbo mode
+============================================
+
+The traditional execution flow of an Ansible module includes the following steps:
+
+- Upload of a ZIP archive with the module and its dependencies
+- Execution of the module
+- Ansible collects the results once the script is finished
+
+These steps happen for each task of a playbook, and on every host.
+
+Most of the time, the execution of a module is fast enough for
+the user. However, sometime the module requires significant amount of time,
+just to initialize itself. This is a common situation with the API based modules.
+
+A classic initialization involves the following steps:
+
+- Load a Python library to access the remote resource (via SDK)
+- Open a client
+    - Load a bunch of Python modules.
+    - Request a new TCP connection.
+    - Create a session.
+    - Authenticate the client.
+
+All these steps are time consuming and the same operations will be running again and again.
+
+For instance, here:
+
+- ``import openstack``: takes 0.569s
+- ``client = openstack.connect()``: takes 0.065s
+- ``client.authorize()``: takes 1.360s,
+
+These numbers are from test running against VexxHost public cloud.
+
+In this case, it's a 2s-ish overhead per task. If the playbook
+comes with 10 tasks, the execution time cannot go below 20s.
+
+How Ansible Turbo Module improve the situation
+==============================================
+
+``AnsibleTurboModule`` is actually a class that inherites from
+the standard ``AnsibleModule`` class that your modules probably
+already use.
+The big difference is that when a module starts, it also spawns
+a little Python daemon. If a daemon already exists, it will just
+reuse it.
+All the module logic is run inside this Python daemon. This means:
+
+- Python modules are actually loaded one time
+- Ansible module can reuse an existing authenticated session.
+
+The background service
+======================
+
+The daemon kills itself after 15s, and communication are done
+through an Unix socket.
+It runs in one single process and uses ``asyncio`` internally.
+Consequently you can use the ``async`` keyword in your Ansible module.
+This will be handy if you interact with a lot of remote systems
+at the same time.
+
+Security impact
+===============
+
+``ansible_module.turbo`` open an Unix socket to interact with the background service.
+We use this service to open the connection toward the different target systems.
+
+This is similar to what SSH does with the sockets.
+
+Keep in mind that:
+
+- All the modules can access the same cache. Soon an isolation will be done at the collection level (https://github.com/ansible-collections/cloud.common/pull/17)
+- A task can load a different version of a library and impact the next tasks.
+- If the same user runs two ``ansible-playbook`` at the same time, they will have access to the same cache.
+
+When a module stores a session in a cache, it's a good idea to use a hash of the authentication information to identify the session.
+
+Error management
+================
+
+``ansible_module.turbo`` uses exceptions to communicate a result back to the module.
+
+- ``EmbeddedModuleFailure`` is raised when ``json_fail()`` is called.
+- ``EmbeddedModuleSuccess`` is raised in case of success and returns the result to the origin module process.
+
+These exceptions are defined in ``ansible_collections.cloud.common.plugins.module_utils.turbo.exceptions``.
+You can raise ``EmbeddedModuleFailure`` exception yourself, for instance from a module in ``module_utils``.
+
+.. note:: Be careful with the ``except Exception:`` blocks.
+    Not only they are bad practice, but also may interface with this
+    mechanism.
+
+
+Troubleshooting
+===============
+
+You may want to manually start the server. This can be done with the following command:
+
+.. code-block:: shell
+
+  PYTHONPATH=$HOME/.ansible/collections python -m ansible_collections.cloud.common.plugins.module_utils.turbo.server --socket-path $HOME/.ansible/tmp/turbo_mode.kubernetes.core.socket
+
+You can use the ``--help`` argument to get a list of the optional parameters.