Implementation:Kubeflow Kubeflow Release Announcement Process
| 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