Tuesday, Mar 10, 2026
shippedAdaptive streaming platform with dynamic batch controller
Kagana Abhinava Sai completed the final version of an adaptive streaming platform that sizes batches dynamically across distributed data processing systems [ref:1].
The work landed in abhinava-sai/DYNAMIC-BATCH-SIZING-FOR-DISTRIBUTED-DATA-STREAM-PROCESSING-SYSTEMS as a single commit integrating the full stack: a dynamic batch controller manages batch sizes in response to load, Kafka feeds the stream, Spark processes it, and Prometheus with Grafana provide observability. The platform adjusts batch processing parameters automatically rather than using fixed sizes, which reduces latency under variable throughput.
Sources
- Final version: Adaptive Streaming Platform with Dynamic Batch Controller, Kafka, Spark, Prometheus and Grafana · abhinava-sai/DYNAMIC-BATCH-SIZING-FOR-DISTRIBUTED-DATA-STREAM-PROCESSING-SYSTEMS