CONCEPT Cited by 1 source

Workflow orchestration

Definition

Workflow orchestration is the infrastructure concern of scheduling, executing, monitoring, and managing multi-step computational workflows — particularly ML pipelines where steps have data dependencies, heterogeneous compute requirements (CPU vs. GPU), and varying latency/cost profiles.

A workflow orchestrator typically provides:

• Scheduling — CRON, event-triggered, or API-triggered execution
• Composition — Nesting, joining, and chaining of sub-workflows
• State management — Tracking run status, enabling clone/rerun of prior executions
• Resource management — Cluster provisioning, hot-cluster reuse, GPU scheduling
• Caching — Deterministic skip of redundant tasks when inputs haven't changed
• Multi-interface access — Portal, CLI, and programmatic API

Seen In

• sources/2026-06-10-atlassian-architecting-scalable-ml-platforms — ML Studio's Workflow Orchestrator manages ~120k monthly runs, supports nested/joined workflows, hot clusters, and automatic deterministic caching (~80% of workflows, saving 1,000+ hours/month)

(Source: sources/2026-06-10-atlassian-architecting-scalable-ml-platforms)