Principle:Ray project Ray CI Pipeline Configuration
| Knowledge Sources | |
|---|---|
| Domains | CI_CD, DevOps |
| Last Updated | 2026-02-13 16:00 GMT |
Overview
Principle governing the declarative definition of continuous integration pipelines that validate, build, and test Ray across multiple platforms and configurations.
Description
CI Pipeline Configuration is the practice of defining build and test workflows as declarative YAML specifications that orchestrate multi-stage validation across heterogeneous compute environments. In the Ray project, Buildkite pipelines define platform-specific test groups (core, data, ML, Serve, RLlib), container image builds, and cross-platform compilation steps. Each pipeline specifies its trigger conditions, compute requirements, test parallelism, and conditional execution rules to ensure comprehensive coverage while minimizing CI resource consumption.
Usage
Apply this principle when designing or modifying the CI infrastructure to add new test groups, adjust platform coverage, or optimize pipeline execution order. It is the foundational pattern for ensuring code quality gates before merging changes into the Ray repository.
Theoretical Basis
Declarative CI pipelines follow the Infrastructure as Code paradigm:
- Pipeline Definition: Each YAML file declares steps, dependencies, and conditions
- Conditional Execution: File-change rules determine which pipelines run for a given commit
- Parallelism: Independent test groups execute concurrently across isolated containers
- Matrix Strategy: Platform and Python version matrices expand a single definition into multiple jobs