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How HubSpot Uses Apache Kafka Swimlanes for Timely Processing of Workflow Actions
InfoQ - AI, ML & Data Engineering www.infoq.com
HubSpot adopted routing messages over multiple Kafka topics (called swimlanes) for the same producer to avoid the build-up in the consumer group lag and prioritize the processing of real-time traffic. Using a combination of automatic and manual detection of traffic spikes, the company ensures the majority of customers’s workflows execute without delays.
By Rafal Gancarzai apache apache kafka architecture & design build combination consumer customers detection development event-driven-architecture event stream processing hubspot kafka messages messaging ml & data engineering multiple performance & scalability processing real-time real time data routing scalability the company topics traffic workflow