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APACHE ZOOKEEPER
Distributed coordination for large-scale ML systems
Apache-2.0
ABOUT
Distributed AI and data systems — from model training clusters to streaming pipelines — need a reliable way to coordinate nodes, elect leaders, track membership, and distribute configuration. ZooKeeper provides a highly reliable coordination service that handles these primitives with strong consistency guarantees, enabling distributed ML platforms to operate reliably without building custom consensus and coordination mechanisms.
INTEGRATION GUIDE
1. Coordinate leader election and failover for distributed model training orchestration
2. Manage service discovery and health monitoring for model serving cluster nodes
3. Store and synchronize pipeline configuration, feature definitions, and model metadata
4. Provide distributed locking for concurrent data processing and model update workflows
5. Track worker membership and task assignments in distributed ML training and inference jobs
TAGS
coordinationdistributed-systemsservice-discoveryconfigurationsynchronization