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argoproj-labs · Aug 26, 2021 · d5c6390 · d5c6390
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 ## Summary
 
-Argo Dataflow is a cloud-native platform for executing large parallel data-processing pipelines.
+Argo Dataflow is a Kubernetes-native platform for executing large parallel data-processing pipelines.
 
-Each pipeline is a Kubernetes custom resource which consists of one or more steps which source and sink messages from
-data sources such Kafka, NATS Streaming, or HTTP services.
+Each pipeline is specified as a Kubernetes custom resource which consists of one or more steps which source and sink
+messages from data sources such Kafka, NATS Streaming, or HTTP services.
 
-Each step runs 0 or more pods, and can scale horizontally using HPA or based on queue length using built-in scaling
+Each step runs zero or more pods, and can scale horizontally using HPA or based on queue length using built-in scaling
 rules. Steps can be scaled-to-zero, in which case they periodically briefly scale-to-one to measure queue length so they
-can scale a back up
+can scale a back up.
+
+Learn more about [features](docs/FEATURES.md).
 
 ## Use Cases
 

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