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[Docs] Add the K8s agent set up document (#6184)
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* Add Flyte K8d data service agent docs

Signed-off-by: Shuying Liang <[email protected]>

* tweaks

Signed-off-by: Shuying Liang <[email protected]>

* formatting

Signed-off-by: Shuying Liang <[email protected]>

---------

Signed-off-by: Shuying Liang <[email protected]>
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3 changes: 3 additions & 0 deletions docs/deployment/agents/index.md
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Expand Up @@ -33,6 +33,8 @@ If you are using a managed deployment of Flyte, you will need to contact your de
- Configuring your Flyte deployment for the SnowFlake agent.
* - {ref}`OpenAI Batch <deployment-agent-setup-openai-batch>`
- Submit requests to OpenAI GPT models for asynchronous batch processing.
* - {ref}`LinkedIn K8s Service Batch <deployment-agent-setup-k8sservice>`
- Configuring your Flyte deployment for the K8s service agent.
```

```{toctree}
Expand All @@ -49,4 +51,5 @@ sagemaker_inference
sensor
snowflake
openai_batch
k8sservice
```
179 changes: 179 additions & 0 deletions docs/deployment/agents/k8sservice.rst
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.. _deployment-agent-setup-k8sservice:

Kubernetes (K8s) Service Agent
==============================

The Kubernetes (K8s) Data Service Agent enables machine learning (ML) users to efficiently handle non-training tasks—such as data loading, caching, and processing—concurrently with training jobs in Kubernetes clusters.
This capability is particularly valuable in deep learning applications, such as those in Graph Neural Networks (GNNs).

This guide offers a comprehensive overview of setting up the K8s Data Service Agent within your Flyte deployment.

Spin up a cluster
-----------------

.. tabs::

.. group-tab:: Flyte binary

You can spin up a demo cluster using the following command:

.. code-block:: bash
flytectl demo start
Or install Flyte using the :ref:`flyte-binary helm chart <deployment-deployment-cloud-simple>`.

.. group-tab:: Flyte core

If you've installed Flyte using the
`flyte-core helm chart <https://github.com/flyteorg/flyte/tree/master/charts/flyte-core>`__, please ensure:

* You have the correct kubeconfig and have selected the correct Kubernetes context.
* You have configured the correct flytectl settings in ``~/.flyte/config.yaml``.

.. note::

Add the Flyte chart repo to Helm if you're installing via the Helm charts.

.. code-block:: bash
helm repo add flyteorg https://flyteorg.github.io/flyte
Specify agent configuration
----------------------------

Enable the K8s service agent by adding the following config to the relevant YAML file(s):

.. code-block:: yaml
tasks:
task-plugins:
enabled-plugins:
- agent-service
default-for-task-types:
- dataservicetask: agent-service
.. code-block:: yaml
plugins:
agent-service:
agents:
k8sservice-agent:
endpoint: <AGENT_ENDPOINT>
insecure: true
agentForTaskTypes:
- dataservicetask: k8sservice-agent
- sensor: k8sservice-agent
Substitute ``<AGENT_ENDPOINT>`` with the endpoint of your MMCloud agent.

Setup the RBAC
--------------

The K8s Data Service Agent will create a StatefulSet and expose the Service endpoint for the StatefulSet pods.
RBAC needs to be set up to allow the K8s Data Service Agent to perform CRUD operations on the StatefulSet and Service.

The role `flyte-flyteagent-role` set up:

.. code-block:: yaml
# Example of the role/binding set up for the data service to create/update/delete resources in the sandbox flyte namespace
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: flyte-flyteagent-role
namespace: flyte
labels:
app.kubernetes.io/name: flyteagent
app.kubernetes.io/instance: flyte
rules:
- apiGroups:
- apps
resources:
- statefulsets
- statefulsets/status
- statefulsets/scale
- statefulsets/finalizers
verbs:
- get
- list
- watch
- create
- update
- delete
- patch
- apiGroups:
- ""
resources:
- pods
- configmaps
- serviceaccounts
- secrets
- pods/exec
- pods/log
- pods/status
- services
verbs:
- '*'
The binding `flyte-flyteagent-rolebinding` for the role `flyte-flyteagent-role`

.. code-block:: yaml
# Example of the role/binding set up for the data service to create/update/delete resources in the sandbox flyte namespace
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: flyte-flyteagent-rolebinding
namespace: flyte
labels:
app.kubernetes.io/name: flyteagent
app.kubernetes.io/instance: flyte
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: flyte-flyteagent-role
subjects:
- kind: ServiceAccount
name: flyteagent
namespace: flyte
Upgrade the deployment
----------------------

.. tabs::

.. group-tab:: Flyte binary

.. tabs::

.. group-tab:: Demo cluster

.. code-block:: bash
kubectl rollout restart deployment flyte-sandbox -n flyte
.. group-tab:: Helm chart

.. code-block:: bash
helm upgrade <RELEASE_NAME> flyteorg/flyte-binary -n <YOUR_NAMESPACE> --values <YOUR_YAML_FILE>
Replace ``<RELEASE_NAME>`` with the name of your release (e.g., ``flyte-backend``),
``<YOUR_NAMESPACE>`` with the name of your namespace (e.g., ``flyte``),
and ``<YOUR_YAML_FILE>`` with the name of your YAML file.

.. group-tab:: Flyte core

.. code-block::
helm upgrade <RELEASE_NAME> flyte/flyte-core -n <YOUR_NAMESPACE> --values values-override.yaml
Replace ``<RELEASE_NAME>`` with the name of your release (e.g., ``flyte``)
and ``<YOUR_NAMESPACE>`` with the name of your namespace (e.g., ``flyte``).

Wait for the upgrade to complete. You can check the status of the deployment pods by running the following command:

.. code-block::
kubectl get pods -n flyte

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