Slipstream provides a data-flow model to simplify development of stateful streaming applications.
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Updated
Aug 27, 2026 - Python
Slipstream provides a data-flow model to simplify development of stateful streaming applications.
Stateful stream-processing pipeline implementing tumbling time windows to compute real-time metrics and analytics.
Distributed event processing with Apache Spark Structured Streaming: Kafka ingestion, stateful deduplication, watermark-based window aggregation, and reproducible Parquet/Kafka outputs.
Apache Flink job that detects orders past their expected delivery time on a Kafka stream and emits idempotent SMS commands. Keyed state, processing-time timers, dead-letter routing, Docker E2E suite.
To associate your repository with the stateful-streaming topic, visit your repo's landing page and select "manage topics."