docs: Add blog post on Feast + MLflow + Kubeflow unified AI/ML lifecycle by Copilot · Pull Request #6010 · feast-dev/feast

Copilot · 2026-02-23T14:23:11Z

Adds a blog post explaining how Feast, MLflow, and Kubeflow are complementary — not competing — tools that together cover the full ML lifecycle.

What this PR does / why we need it:

docs/blog/feast-mlflow-kubeflow.md — new post covering:
- Distinct roles: Feast (feature data layer, including transformations, lineage, and data quality monitoring), MLflow (experiment tracking), Kubeflow (workflow orchestration)
- Feast feature definition, point-in-time retrieval, materialization, and online serving
- Feature transformations — on_demand_feature_view usage and how it prevents transformation skew between training and serving
- Feature lineage — how the Feast registry provides end-to-end lineage from raw data source → transformation → feature values consumed by a model
- Data quality monitoring — drift detection, stale data checks, and schema validation during materialization
- Feast registry vs. MLflow model registry: Feast registry is a superset — all defined features; production only needs the subset used by the promoted model
- MLflow experiment logging with Feast-sourced features; hyperparameter sweeps with Optuna
- Kubeflow Pipelines example composing Feast retrieval + MLflow training as a reproducible DAG; Training Operator for distributed workloads
- End-to-end walkthrough: feast apply → experiment → promote → serve
- Reference to @qooba's community post "Feast with AI: Feed Your MLflow Models with Feature Store" as an acknowledgment of prior community work
- YAML front matter (title, description, date, authors), hero image <div>, and H1 title in the blog post header
docs/blog/README.md — adds new post to Featured Posts

Which issue(s) this PR fixes:

Misc

Follows the format and style of existing blog posts (rbac-role-based-access-controls.md, feast-supports-vector-database.md). Header updated to include YAML front matter and hero image block per reviewer suggestion.

Original prompt

This section details on the original issue you should resolve

<issue_title>Blog post on MLflow + Feast + Kubeflow</issue_title>
<issue_description>Is your feature request related to a problem? Please describe.
I'd like a blog post outlining how Feast operates within the AI/ML lifecycle and is complementary to several technologies, particularly MLflow but also the Kubeflow Trainer/Training Operator and Kubeflow Pipelines.

In short, the blog post should outline how Feast supports feature development, iteration, testing, and serving (i.e., productionalizing a model) and MLflow supports experimentation during model development, hyperparameter optimization, and feature selection. MLflow does not support feature serving and is at its core a Metadata tracker and logger. Feast also has a feature registry but this is different than the MLflow registry because Feast's feature registry should be a superset of features in the MLflow registry, this is because once you've chosen your selected model for production, you should only need to serve a subset of those features.

Describe the solution you'd like
A blog post

Describe alternatives you've considered
N/A

Additional context
N/a
</issue_description>

<agent_instructions>Please follow the example of other blog posts.</agent_instructions>

Comments on the Issue (you are @copilot in this section)

Fixes Blog post on MLflow + Feast + Kubeflow #6009

🔒 GitHub Advanced Security automatically protects Copilot coding agent pull requests. You can protect all pull requests by enabling Advanced Security for your repositories. Learn more about Advanced Security.

Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

franciscojavierarceo · 2026-02-23T16:56:36Z

docs/blog/feast-mlflow-kubeflow.md

+* **Kubeflow** orchestrates ML workflows: running distributed training, hyperparameter sweeps, and end-to-end pipelines on Kubernetes.
+
+Together they form a complete, open-source foundation for operationalizing ML.
+


@copilot can you reference this blog post https://blog.qooba.net/2021/05/22/feast-with-ai-feed-your-mlflow-models-with-feature-store/ from @qooba!

Added a reference to @qooba's post in the overview paragraph (commit b79829f). It now reads as an acknowledgment of that early community work and frames the current post as extending it to cover Kubeflow as well.

Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

franciscojavierarceo · 2026-02-23T16:58:49Z

docs/blog/feast-mlflow-kubeflow.md

+
+These tools are not competitors. Each one occupies a distinct role:
+
+* **Feast** manages feature data: defining, storing, and serving features consistently for both training and inference.


@copilot please mention feature lineage, data quality monitoring, and transformations.

Done in commit e4fb0c5. Added three new sub-sections to the Feast chapter:

Feature transformations — covers on_demand_feature_view and how it prevents transformation skew

Feature lineage — explains how the registry tracks every FeatureView, data source, entity, and transformation as a lineage record

Data quality monitoring — explains drift detection, stale data checks, and training–serving skew detection

Also updated the overview bullet for Feast to mention all three capabilities upfront.

…ng to Feast blog post Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

franciscojavierarceo · 2026-02-23T17:35:30Z

docs/blog/feast-mlflow-kubeflow.md

@@ -0,0 +1,387 @@
+# Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle


@copilot the header should look something like this:

Suggested change

# Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle

---

title: Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle

description: Learn how to use Feast, MLflow, and Kubeflow to power your AI/ML Lifecycle

date: 2026-02-23

authors: ["Francisco Javier Arceo", "Nikhil Kathole"]

---

<div class="hero-image">

<img src="/images/blog/feast-mlflow-kubeflow.png" alt="Feast, MLflow, and Kubeflow" loading="lazy">

</div>

# Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle

Updated in commit 0233e6f. The header now includes the YAML front matter block (title, description, date, authors), the hero image <div>, and then the H1 title exactly as suggested.

Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

Initial plan

adb6270

Copilot AI assigned Copilot and franciscojavierarceo Feb 23, 2026

Copilot started work on behalf of franciscojavierarceo February 23, 2026 14:23 View session

Add blog post: Feast + MLflow + Kubeflow unified AI/ML lifecycle

c727b18

Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

Copilot AI changed the title ~~[WIP] Add blog post on MLflow, Feast, and Kubeflow integration~~ docs: Add blog post on Feast + MLflow + Kubeflow unified AI/ML lifecycle Feb 23, 2026

Copilot AI requested a review from franciscojavierarceo February 23, 2026 14:26

Copilot finished work on behalf of franciscojavierarceo February 23, 2026 14:26

franciscojavierarceo reviewed Feb 23, 2026

View reviewed changes

Copilot started work on behalf of franciscojavierarceo February 23, 2026 16:57 View session

docs: Reference qooba's Feast + MLflow blog post in overview

b79829f

Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

Copilot AI requested a review from franciscojavierarceo February 23, 2026 16:58

Copilot finished work on behalf of franciscojavierarceo February 23, 2026 16:58

franciscojavierarceo reviewed Feb 23, 2026

View reviewed changes

Copilot started work on behalf of franciscojavierarceo February 23, 2026 16:59 View session

docs: Add feature transformations, lineage, and data quality monitori…

e4fb0c5

…ng to Feast blog post Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

Copilot AI requested a review from franciscojavierarceo February 23, 2026 17:01

Copilot finished work on behalf of franciscojavierarceo February 23, 2026 17:01

add hero image

ca7e590

franciscojavierarceo reviewed Feb 23, 2026

View reviewed changes

Copilot started work on behalf of franciscojavierarceo February 23, 2026 17:36 View session

docs: Update blog post header with front matter and hero image

0233e6f

Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com>

Copilot AI requested a review from franciscojavierarceo February 23, 2026 17:37

Copilot finished work on behalf of franciscojavierarceo February 23, 2026 17:37

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Comments

docs: Add blog post on Feast + MLflow + Kubeflow unified AI/ML lifecycle#6010

docs: Add blog post on Feast + MLflow + Kubeflow unified AI/ML lifecycle#6010
Copilot wants to merge 6 commits intomasterfrom
copilot/create-blog-post-on-mlflow-feast-kubeflow

Copilot AI commented Feb 23, 2026 •

edited

Loading

Uh oh!

franciscojavierarceo Feb 23, 2026

Uh oh!

Copilot AI Feb 23, 2026

Uh oh!

franciscojavierarceo Feb 23, 2026

Uh oh!

Copilot AI Feb 23, 2026

Uh oh!

franciscojavierarceo Feb 23, 2026

Uh oh!

Copilot AI Feb 23, 2026

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

		* Kubeflow orchestrates ML workflows: running distributed training, hyperparameter sweeps, and end-to-end pipelines on Kubernetes.

		Together they form a complete, open-source foundation for operationalizing ML.


		These tools are not competitors. Each one occupies a distinct role:

		* Feast manages feature data: defining, storing, and serving features consistently for both training and inference.

		@@ -0,0 +1,387 @@
		# Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle

-# Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle
+---
+title: Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle
+description: Learn how to use Feast, MLflow, and Kubeflow to power your AI/ML Lifecycle
+date: 2026-02-23
+authors: ["Francisco Javier Arceo", "Nikhil Kathole"]
+---
+<div class="hero-image">
+  <img src="/images/blog/feast-mlflow-kubeflow.png" alt="Feast, MLflow, and Kubeflow" loading="lazy">
+</div>
+# Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle

Comments

Conversation

Copilot AI commented Feb 23, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

What this PR does / why we need it:

Which issue(s) this PR fixes:

Misc

Comments on the Issue (you are @copilot in this section)

Uh oh!

franciscojavierarceo Feb 23, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Feb 23, 2026

Choose a reason for hiding this comment

Uh oh!

franciscojavierarceo Feb 23, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Feb 23, 2026

Choose a reason for hiding this comment

Uh oh!

franciscojavierarceo Feb 23, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Feb 23, 2026

Choose a reason for hiding this comment

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

Copilot AI commented Feb 23, 2026 •

edited

Loading