Consumer Not Found: Kafka, SQS, and QStash on Serverless

The post compares Kafka, Amazon SQS, and Upstash QStash for a serverless Next.js checkout workflow that must fan out order events to independent tasks such as receipts, inventory updates, ERP synchronization, and analytics without delaying the customer response. It argues that Kafka requires long-lived consumer groups and often a separately deployed container, while SQS typically requires SNS fan-out, multiple queues and dead-letter queues, Lambda consumers, IAM configuration, and deployment across both the application host and AWS. QStash is presented as an HTTP-based alternative that delivers signed POST requests directly to existing application routes, with per-message retries, dead-letter handling, replay, delays, schedules, and rate and concurrency controls, requiring no continuously running consumer infrastructure. The author acknowledges a bias as a QStash builder and notes that Kafka remains appropriate for replayable event logs and stream processing, while SQS is well suited to AWS-centric systems and intentionally pull-based workloads; the central distinction is that Kafka is a log, SQS a buffer, and QStash a delivery mechanism for serverless HTTP endpoints.

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