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Data Factory Operation (DataOps)
(Equivalent to Grain Mill)
ML Factory Operation (MLOps)
(Equivalent to Bread Factory)
App Factory Operation (DevOps)
(Equivalent to Restaurant)
Floor/ Grain Mill
Operation (Like DataOps)
Bread Factory
Operation (Like MLOps)
Restaurant Operation
(Like DevOps)
vs
Think Mill/Grain as Data Operations where Data Assets
are built in place of floor.
Data Assets are utilized to build models in MLOps below
Think Bread Factory as a Machine Learning Operation (MLOps)
where Models are built (using data assets) in place of bread
Models are packaged into App as part of DevOps below
Think Restaurant as Application Dev Operation where
applications are built (using models) in place of sandwich
Apps are consumed by end users
Build (Grind Grain) Test(Quality) Release (Ship)
Build (Bake) Test(Quality) Release (Ship)
Restaurant
Build (Sandwitch) Test(Quality) Release (Ship)
Floor/ Grain Mill
Consumer: Bread Factory
Consumer: Restaurant
Automated Delivery Pipeline
Monitor Feedback
Analyze Feedback
Plan for Change
Feedback loop
Bread Factory
Automated Delivery Pipeline
Monitor Feedback
Analyze Feedback
Plan for Change
Feedback loop
Automated Delivery Pipeline
Monitor Feedback
Analyze Feedback
Plan for Change
Feedback loop Consumer: Customers
App Factory Operation
(DevOps)
Combined Floor/ Gain Mill + Bread Factory Operation
(Like MLOps)
Restaurant Operation
(Like DevOps)
Combined DataOps + MLOps
(As MLOps)
Scenerio 1
Combined Floor/ Gain Mill + Bread Factory Operation + Restaurant Operation
(Like DevOps)
Combined DataOps + MLOps + DevOps
(As DevOps)
Scenerio 2

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Data, ML, and App Factory Operations Compared

  • 1. Data Factory Operation (DataOps) (Equivalent to Grain Mill) ML Factory Operation (MLOps) (Equivalent to Bread Factory) App Factory Operation (DevOps) (Equivalent to Restaurant) Floor/ Grain Mill Operation (Like DataOps) Bread Factory Operation (Like MLOps) Restaurant Operation (Like DevOps) vs
  • 2. Think Mill/Grain as Data Operations where Data Assets are built in place of floor. Data Assets are utilized to build models in MLOps below Think Bread Factory as a Machine Learning Operation (MLOps) where Models are built (using data assets) in place of bread Models are packaged into App as part of DevOps below Think Restaurant as Application Dev Operation where applications are built (using models) in place of sandwich Apps are consumed by end users
  • 3. Build (Grind Grain) Test(Quality) Release (Ship) Build (Bake) Test(Quality) Release (Ship) Restaurant Build (Sandwitch) Test(Quality) Release (Ship) Floor/ Grain Mill Consumer: Bread Factory Consumer: Restaurant Automated Delivery Pipeline Monitor Feedback Analyze Feedback Plan for Change Feedback loop Bread Factory Automated Delivery Pipeline Monitor Feedback Analyze Feedback Plan for Change Feedback loop Automated Delivery Pipeline Monitor Feedback Analyze Feedback Plan for Change Feedback loop Consumer: Customers
  • 4. App Factory Operation (DevOps) Combined Floor/ Gain Mill + Bread Factory Operation (Like MLOps) Restaurant Operation (Like DevOps) Combined DataOps + MLOps (As MLOps) Scenerio 1
  • 5. Combined Floor/ Gain Mill + Bread Factory Operation + Restaurant Operation (Like DevOps) Combined DataOps + MLOps + DevOps (As DevOps) Scenerio 2