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42 lines
2.4 KiB
Markdown
42 lines
2.4 KiB
Markdown
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Product Mixer
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=============
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## Overview
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Product Mixer is a common service framework and set of libraries that make it easy to build,
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iterate on, and own product surface areas. It consists of:
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- **Core Libraries:** A set of libraries that enable you to build execution pipelines out of
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reusable components. You define your logic in small, well-defined, reusable components and focus
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on expressing the business logic you want to have. Then you can define easy to understand pipelines
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that compose your components. Product Mixer handles the execution and monitoring of your pipelines
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allowing you to focus on what really matters, your business logic.
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- **Service Framework:** A common service skeleton for teams to host their Product Mixer products.
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- **Component Library:** A shared library of components made by the Product Mixer Team, or
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contributed by users. This enables you to both easily share the reusable components you make as well
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as benefit from the work other teams have done by utilizing their shared components in the library.
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## Architecture
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The bulk of a Product Mixer can be broken down into Pipelines and Components. Components allow you
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to break business logic into separate, standardized, reusable, testable, and easily composable
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pieces, where each component has a well defined abstraction. Pipelines are essentially configuration
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files specifying which Components should be used and when. This makes it easy to understand how your
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code will execute while keeping it organized and structured in a maintainable way.
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Requests first go to Product Pipelines, which are used to select which Mixer Pipeline or
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Recommendation Pipeline to run for a given request. Each Mixer or Recommendation
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Pipeline may run multiple Candidate Pipelines to fetch candidates to include in the response.
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Mixer Pipelines combine the results of multiple heterogeneous Candidate Pipelines together
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(e.g. ads, tweets, users) while Recommendation Pipelines are used to score (via Scoring Pipelines)
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and rank the results of homogenous Candidate Pipelines so that the top ranked ones can be returned.
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These pipelines also marshall candidates into a domain object and then into a transport object
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to return to the caller.
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Candidate Pipelines fetch candidates from underlying Candidate Sources and perform some basic
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operations on the Candidates, such as filtering out unwanted candidates, applying decorations,
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and hydrating features.
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