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Implementation:Kubeflow Kubeflow Release Announcement Process

From Leeroopedia
Knowledge Sources
Domains Release Management, Community Communication, Blog, CNCF
Last Updated 2026-02-13 00:00 GMT

Overview

Concrete process for announcing Kubeflow releases through blog posts, Slack, and CNCF channels, provided by a coordinated multi-channel communication workflow.

Description

The Release Announcement Process defines the specific steps for creating and publishing release announcements across all communication channels. It uses the ROADMAP.md themes and feature lists as source material for announcement content, coordinates publication timing across blog, Slack, and CNCF channels, and includes templates for each communication format. The process ensures consistent messaging and maximum community reach.

Usage

Use this process when:

  • All release tags have been created and container images published
  • Documentation on kubeflow.org has been updated and is live
  • ROADMAP.md has been updated with the final release details
  • The release team has approved the announcement content
  • The blog post draft has been reviewed and is ready for publication

Code Reference

Source Location

  • Repository: blog.kubeflow.org (blog publication)
  • File: No single source file; ROADMAP.md serves as content source

Signature

# Release Announcement Process Pattern
# 1. Draft blog post from ROADMAP.md themes and feature highlights
# 2. Review blog post with release team
# 3. Publish blog post
# 4. Post Slack announcements with link to blog
# 5. Notify CNCF channels
# 6. Send community mailing list announcement

Import

# Access ROADMAP.md for announcement content source
git clone https://github.com/kubeflow/kubeflow.git
cat kubeflow/ROADMAP.md

# Access the blog repository (if applicable)
git clone https://github.com/kubeflow/blog.git

I/O Contract

Inputs

Name Type Required Description
release_version string Yes The released version number (e.g., v1.11)
roadmap_themes list of strings Yes Release themes from ROADMAP.md (e.g., Trainer V2.0, Model Registry new features)
feature_highlights list of descriptions Yes Expanded descriptions of key features for the blog post
upgrade_guide_link URL Yes Link to the upgrade documentation on kubeflow.org
component_release_links map of string to URL Yes Per-component GitHub Release URLs for linking in the announcement
community_acknowledgments list of strings Yes Names or handles of contributors, WG leads, and release team members to acknowledge
blog_post_draft document Yes Reviewed and approved blog post content ready for publication

Outputs

Name Type Description
published_blog_post URL Published blog post at blog.kubeflow.org with the full release announcement
slack_announcements list of messages Posted announcements in Kubeflow Slack channels (#general, WG-specific channels)
cncf_notification notification Notification sent through CNCF communication channels (Slack, mailing lists)
community_awareness metric Confirmation that all communication channels have been notified

Usage Examples

Example: Drafting the Blog Post from ROADMAP.md

# Extract themes from ROADMAP.md for the blog post outline
# The v1.11 section contains:
# ### Themes
# * Trainer V2.0
# * Model Registry new features
# * KServe improvements
# * Pipelines enhancements
# * Katib updates
# * Spark Operator features

# Blog post structure:
# Title: Kubeflow v1.11 Release: [Headline Theme]
# Introduction: Overview of the release and its significance
# Section per theme: Expanded description with screenshots/diagrams
# Component updates: Per-WG summary with release links
# Upgrade guide: Link and key considerations
# Acknowledgments: Contributors and release team
# Links: ROADMAP, docs, installation guides

Example: Publishing Slack Announcements

# Slack announcement template for #general channel:
#
# :tada: Kubeflow v1.11 has been released!
#
# Key highlights:
# * Trainer V2.0 with new training API
# * Model Registry new features for artifact tracking
# * KServe v0.15.2 improvements
# * Pipelines 2.15.0 with enhanced DAG support
# * Katib v0.19.0 with new algorithms
# * Spark Operator v2.4.0 updates
#
# Blog post: https://blog.kubeflow.org/releases/kubeflow-v1.11/
# Upgrade guide: https://www.kubeflow.org/docs/upgrading/
# ROADMAP: https://github.com/kubeflow/kubeflow/blob/master/ROADMAP.md
#
# Thank you to all contributors and Working Groups!

# Post to WG-specific channels with component-specific highlights
# #wg-training: Trainer V2.0 specific details
# #wg-serving: KServe v0.15.2 specific details
# #wg-pipelines: Pipelines 2.15.0 specific details

Example: CNCF Channel Notification

# CNCF Slack #kubeflow channel notification:
#
# The Kubeflow community is pleased to announce the release of
# Kubeflow v1.11, the latest version of the Kubeflow AI Reference
# Platform.
#
# This release includes Trainer V2.0, Model Registry new features,
# and updates across all Working Groups.
#
# Read the full announcement: https://blog.kubeflow.org/releases/kubeflow-v1.11/
# Release details: https://github.com/kubeflow/kubeflow/blob/master/ROADMAP.md

# CNCF mailing list announcement follows a similar format
# with additional context about Kubeflow's role in the CNCF ecosystem

Example: Community Mailing List Announcement

# Email subject: [Announcement] Kubeflow v1.11 Released
#
# Email body:
# Dear Kubeflow Community,
#
# We are pleased to announce the release of Kubeflow v1.11.
#
# Release Highlights:
# - Trainer V2.0: New training API with improved distributed training support
# - Model Registry v0.3.4: New features for model artifact tracking
# - KServe v0.15.2: Inference serving improvements
# - Pipelines 2.15.0: Enhanced pipeline DAG support
# - Katib v0.19.0: New hyperparameter tuning algorithms
# - Spark Operator v2.4.0: Updated Spark workload management
#
# Full blog post: https://blog.kubeflow.org/releases/kubeflow-v1.11/
# Documentation: https://www.kubeflow.org/docs/
# Upgrade guide: https://www.kubeflow.org/docs/upgrading/
#
# Thank you to all contributors who made this release possible!
#
# The Kubeflow Release Team

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