Design a Dependency-Aware CI/CD Pipeline
Design a CI/CD platform that accepts a pipeline definition containing dependent jobs, schedules ready work on isolated runners, stores logs and artifacts, and promotes a tested build through deployment environments.
Constraints & Assumptions:
- A pipeline is a directed acyclic graph (DAG) of jobs with explicit dependencies.
- Jobs can vary in duration (seconds to hours) and may require specific operating systems or hardware.
- A single repository can trigger multiple pipelines concurrently, and newer commits can supersede older ones.
- Runners and control-plane components are prone to failure, and completion messages might be duplicated.
- Production deployments necessitate authorization, auditability, and rollback capabilities.
AI interview prep
Core dilemma
Balancing the complexity of managing a dynamic DAG of jobs with varying resource requirements and failure modes against the need for reliable, scalable, and secure execution and deployment.
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design a Dependency-Aware CI/CD Pipeline
Design a CI/CD platform that accepts a pipeline definition containing dependent jobs, schedules ready work on isolated runners, stores logs and artifacts, and promotes a tested build through deployment environments.
Constraints & Assumptions:
- A pipeline is a directed acyclic graph (DAG) of jobs with explicit dependencies.
- Jobs can vary in duration (seconds to hours) and may require specific operating systems or hardware.
- A single repository can trigger multiple pipelines concurrently, and newer commits can supersede older ones.
- Runners and control-plane components are prone to failure, and completion messages might be duplicated.
- Production deployments necessitate authorization, auditability, and rollback capabilities.