SBSamanta Bindrainarchitecturedev.hashnode.dev·6h ago · 8 min readKafka Partitioning Strategy in ProductionPartition count is the most consequential — and most irreversible — decision you make when designing a Kafka topic. Get it right and your system scales gracefully for years. Get it wrong and you're ei00
SBSamanta Bindrainarchitecturedev.hashnode.dev·20h ago · 5 min readDynamic Kafka Consumer OrchestrationStatic Kafka consumers are simple to build but become an operational bottleneck as tenant count grows. By moving consumer lifecycle from application startup to a runtime orchestration layer, platforms00
SBSamanta Bindrainarchitecturedev.hashnode.dev·21h ago · 6 min read Beyond CPU AutoscalingCPU tells you how busy your consumers are. Kafka lag tells you how much work is waiting. Reliable event platforms need both. Most autoscaling strategies work well for HTTP services because traffic u00
SBSamanta Bindrainarchitecturedev.hashnode.dev·3d ago · 2 min readEvent-Driven Systems Beyond the Happy PathMost architecture diagrams for event-driven systems look clean and straightforward. Producers publish events, consumers process them, and everything appears to work perfectly. Reality is different. Pr00
