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APACHE PULSAR
Distributed pub-sub messaging for real-time AI data streaming
Apache-2.0
ABOUT
AI applications that need to process data in real time often struggle with unreliable message delivery, limited throughput, and complex cluster management. Apache Pulsar solves this with a cloud-native pub-sub messaging system designed for high-throughput, low-latency streaming — featuring multi-tenancy, geo-replication, tiered storage, and exactly-once semantics for building reliable event-driven AI data pipelines at scale.
INSTALL
docker run -p 6650:6650 -p 8080:8080 apachepulsar/pulsar:latest bin/pulsar standaloneINTEGRATION GUIDE
1. Build a real-time data ingestion pipeline that streams raw data to AI inference services
2. Create an event-driven ML architecture where model retraining triggers on data arrival events
3. Implement a multi-tenant streaming platform that serves separate data pipelines for different AI teams
4. Power a geo-distributed AI application with cross-region message replication and failover
5. Stream feature data from production to training infrastructure with exactly-once delivery guarantees
TAGS
messagingstreamingpub-subreal-timeevent-drivendata-pipelinedistributeddocker