Parameterization
Parameterization is a technique for expressing variation in a computation, artifact, or model through explicit parameters whose values determine a particular instance or behavior.
Machine Learning Platform Engineering
Parameterization is the practice of exposing configurable values so behavior can be customized without changing implementation code.
- How it is used
- Standardizes reusable Kubeflow pipeline components by moving environment-specific values out of implementation code.
- How deep it goes
- Explains parameter inputs and component-definition wiring, but stops short of broader configuration-management practices.
- Examples
- Uses MinIO hosts, bucket names, file names, MLflow hosts, model stages, and feature lists as configurable values.
- What you can do after
- Operate/configure reusable pipeline components across environments without editing their implementation code.
Read how Machine Learning Platform Engineering explains parameterization →
Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and Terraform
Parameterization is the practice of representing changeable configuration values as parameters or placeholders rather than embedding them directly in code or configuration.
- How it is used
- Separates deployment and infrastructure values from code so pipelines and environments can change without repository edits.
- How deep it goes
- Demonstrates environment variables, Terraform inputs, and envsubst, but stops short of broader templating strategies.
- Examples
- Uses Terraform app names and Kubernetes versions, plus container registry and microservice version variables injected into deploy.yaml.
- What you can do after
- Apply it via Terraform variables and envsubst to deploy parallel environments and update deployment values without editing configuration.
Related concepts
- stubuses · A stub is a stand-in for a component or operation that exposes an interface while substituting simplified, generated, or controlled behavior for its full implementation.
- long-running taskconfigures · A long-running task is a work item or operation whose execution takes an extended time relative to surrounding program flow.
- probability distributionconfigures · A probability distribution is a mathematical specification assigning probabilities to the possible values or outcomes of a random variable, with total probability one.
- composabilityuses · Composability is the property of components or operations that allows them to be combined into larger systems or behaviors through defined interactions.
- reproducibilityuses · Reproducibility is the ability to obtain the same or equivalent results by repeating a process with the same relevant inputs, methods, and conditions.
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