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Add Kubernetes integration section to ClearML Agent docs (#386)

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pollfly 2022-11-27 16:06:06 +02:00 committed by GitHub
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@ -178,7 +178,7 @@ In case a `clearml.conf` file already exists, add a few ClearML Agent specific c
1. Save the configuration. 1. Save the configuration.
## Execution ## Deployment
### Spinning Up an Agent ### Spinning Up an Agent
You can spin up an agent on any machine: on-prem and/or cloud instance. When spinning up an agent, you assign it to You can spin up an agent on any machine: on-prem and/or cloud instance. When spinning up an agent, you assign it to
@ -253,6 +253,17 @@ the SSH keys provided in the environment variable.
SSH_AUTH_SOCK=<file_socket> clearml-agent daemon --gpus <your config> --queue <your queue name> --docker SSH_AUTH_SOCK=<file_socket> clearml-agent daemon --gpus <your config> --queue <your queue name> --docker
``` ```
### Kubernetes
Agents can be deployed bare-metal or as dockers in a Kubernetes cluster. ClearML Agent adds the missing scheduling
capabilities to Kubernetes, allows for more flexible automation from code, and gives access to all of ClearML Agent’s
features (scheduling, job prioritization, and more).
There are two options for deploying the ClearML Agent to a Kubernetes cluster:
* Spin ClearML Agent as a long-lasting service pod
* Map ClearML jobs directly to K8s jobs with Kubernetes Glue (available in the ClearML Enterprise plan)
See more details [here](https://github.com/allegroai/clearml-agent#kubernetes-integration-optional).
### Explicit Task Execution ### Explicit Task Execution
ClearML Agent can also execute specific tasks directly, without listening to a queue. ClearML Agent can also execute specific tasks directly, without listening to a queue.