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Apache Yunikorn¶
Apache Yunikorn is an open-source resource scheduler originally developed by Cloudera and donated to the Apache Software Foundation — an alternative to Kubernetes' default scheduler for batch + data + ML workloads. Yunikorn provides hierarchical queues, resource fairness, gang scheduling, and job-level (not just pod-level) scheduling semantics; it plugs into Kubernetes as a scheduler replacement.
Upstream: https://yunikorn.apache.org/.
Role in this wiki¶
Introduced as the scheduling framework underneath Pinterest's Moka Big Data Processing platform. In the Piqama integration, each Pinterest project maps to a Yunikorn queue; quota values from Piqama are translated into Yunikorn queue configuration (memory + vcore floor / ceiling + max concurrent apps) by a Yunikorn Config Updater.
Seen in¶
- sources/2026-02-24-pinterest-piqama-pinterest-quota-management-ecosystem — named as the resource-scheduling framework backing Moka; integrated with Piqama's capacity-quota control plane via the Yunikorn Config Updater polling Piqama for quota values and rewriting queue configs. Canonical wiki instance of Yunikorn as an enforcement substrate for a separately-operated quota-management platform.