In Part 4 of our v17 series, we focus on the event backbone — how Kafka design underpins sustained, high-throughput processing across the switch.
We revisited message flow design to enable true parallel processing, aligning partitioning with business domains and tuning concurrency to maintain correctness without limiting scale.
At a national level, small inefficiencies in partitioning, ordering, or consumer stability can quickly become bottlenecks. These changes ensure the platform delivers stable, predictable performance under sustained load.
Kafka Design for Real Throughput: Partitioning, Ordering, and Concurrency (Part 4 of 6)
Delivered in support of programmes led by the COMESA Clearing House, COMESA Business Council, GamSwitch Company Ltd, Institute for Inclusive Digital Africa, and the Central Bank of The Gambia.
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