Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat(docs): Add architecture diagram #11490

Open
wants to merge 3 commits into
base: master
Choose a base branch
from
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 20 additions & 8 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
# Kubeflow Pipelines

[![Coverage Status](https://coveralls.io/repos/github/kubeflow/pipelines/badge.svg?branch=master)](https://coveralls.io/github/kubeflow/pipelines?branch=master)
[![SDK Documentation Status](https://readthedocs.org/projects/kubeflow-pipelines/badge/?version=latest)](https://kubeflow-pipelines.readthedocs.io/en/stable/?badge=latest)
[![SDK Package version](https://img.shields.io/pypi/v/kfp?color=%2334D058&label=pypi%20package)](https://pypi.org/project/kfp)
Expand All @@ -19,8 +21,7 @@ The Kubeflow pipelines service has the following goals:

* Kubeflow Pipelines can be installed as part of the [Kubeflow Platform](https://www.kubeflow.org/docs/started/installing-kubeflow/#kubeflow-platform). Alternatively you can deploy [Kubeflow Pipelines](https://www.kubeflow.org/docs/components/pipelines/operator-guides/installation/) as a standalone service.


* The Docker container runtime has been deprecated on Kubernetes 1.20+. Kubeflow Pipelines has switched to use [Emissary Executor](https://www.kubeflow.org/docs/components/pipelines/legacy-v1/installation/choose-executor/#emissary-executor) by default from Kubeflow Pipelines 1.8. Emissary executor is Container runtime agnostic, meaning you are able to run Kubeflow Pipelines on Kubernetes cluster with any [Container runtimes](https://kubernetes.io/docs/setup/production-environment/container-runtimes/).
* The Docker container runtime has been deprecated on Kubernetes 1.20+. Kubeflow Pipelines has switched to use [Emissary Executor](https://www.kubeflow.org/docs/components/pipelines/legacy-v1/installation/choose-executor/#emissary-executor) by default from Kubeflow Pipelines 1.8. Emissary executor is Container runtime agnostic, meaning you are able to run Kubeflow Pipelines on Kubernetes cluster with any [Container runtimes](https://kubernetes.io/docs/setup/production-environment/container-runtimes/).

## Documentation

Expand All @@ -34,19 +35,29 @@ Consult the [Python SDK reference docs](https://kubeflow-pipelines.readthedocs.i

## Contributing to Kubeflow Pipelines

Before you start contributing to Kubeflow Pipelines, read the guidelines in [How to Contribute](./CONTRIBUTING.md). To learn how to build and deploy Kubeflow Pipelines from source code, read the [developer guide](./developer_guide.md).
Before you start contributing to Kubeflow Pipelines, read the guidelines in [How to Contribute](./CONTRIBUTING.md). To learn how to build and deploy Kubeflow Pipelines from source code, reagd the [developer guide](./developer_guide.md).

## Kubeflow Pipelines Community

### Community Meeting

The Kubeflow Pipelines Community Meeting occurs every other Wed 10-11AM (PST).

## Kubeflow Pipelines Community Meeting
[Calendar Invite](https://calendar.google.com/event?action=TEMPLATE&tmeid=NTdoNG5uMDBtcnJlYmdlOWt1c2lkY25jdmlfMjAxOTExMTNUMTgwMDAwWiBqZXNzaWV6aHVAZ29vZ2xlLmNvbQ&tmsrc=jessiezhu%40google.com&scp=ALL)

The meeting is happening every other Wed 10-11AM (PST)
[Calendar Invite](https://calendar.google.com/event?action=TEMPLATE&tmeid=NTdoNG5uMDBtcnJlYmdlOWt1c2lkY25jdmlfMjAxOTExMTNUMTgwMDAwWiBqZXNzaWV6aHVAZ29vZ2xlLmNvbQ&tmsrc=jessiezhu%40google.com&scp=ALL) or [Join Meeting Directly](https://meet.google.com/phd-ixfj-kcr/)
[Direct Meeting Link](https://zoom.us/j/92607298595?pwd%3DVlKLUbiguGkbT9oKbaoDmCxrhbRop7.1&sa=D&source=calendar&ust=1736264977415448&usg=AOvVaw1EIkjFsKy0d4yQPptIJS3x)

[Meeting notes](http://bit.ly/kfp-meeting-notes)

## Kubeflow Pipelines Slack Channel
### Slack

[#kubeflow-pipelines](https://kubeflow.slack.com)
We also have a slack channel (#kubeflow-pipelines) on the Cloud Native Computing Foundation Slack workspace. You can find more details at [https://www.kubeflow.org/docs/about/community/#kubeflow-slack-channels](https://www.kubeflow.org/docs/about/community/#kubeflow-slack-channels)

## Architecture
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I don't think we should put the arch diagram in the front readme of the repo, can we move this further into the docs folder? https://github.com/kubeflow/pipelines/tree/master/docs

once done we can link it from the kfp website in the operator-guides section: https://www.kubeflow.org/docs/components/pipelines/operator-guides/


![KubeFlow Pipelines Cluster Wide Architecture](images/kfp-cluster-wide-architecture.png)

The above diagram documents the various components in Kubeflow Pipelines and how they interact. This should be a useful starting point for any developers.

## Blog posts

Expand All @@ -56,6 +67,7 @@ The meeting is happening every other Wed 10-11AM (PST)
* [Part 2: How to deploy Jupyter notebooks as components of a Kubeflow ML pipeline](https://towardsdatascience.com/how-to-deploy-jupyter-notebooks-as-components-of-a-kubeflow-ml-pipeline-part-2-b1df77f4e5b3)
* [Part 3: How to carry out CI/CD in Machine Learning (“MLOps”) using Kubeflow ML pipelines](https://medium.com/google-cloud/how-to-carry-out-ci-cd-in-machine-learning-mlops-using-kubeflow-ml-pipelines-part-3-bdaf68082112)
* [Tekton optimizations for Kubeflow Pipelines 2.0](https://developer.ibm.com/blogs/awb-tekton-optimizations-for-kubeflow-pipelines-2-0) (By Tommy Li)

## Acknowledgments

Kubeflow pipelines uses [Argo Workflows](https://github.com/argoproj/argo-workflows) by default under the hood to orchestrate Kubernetes resources. The Argo community has been very supportive and we are very grateful. Additionally there is Tekton backend available as well. To access it, please refer to [Kubeflow Pipelines with Tekton repository](https://github.com/kubeflow/kfp-tekton).
8 changes: 8 additions & 0 deletions images/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,8 @@
# KFP Architecture Diagram

To make edits to the KFP architecture, do the following:

1. Import kfp-cluster-wide-architecture.drawio.xml into your drawio environment.
2. Make any required updates to the architecture
3. Export a new png as well as xml of the diagram
4. Overwrite the existing files in this directory
Loading
Loading