When considering the adoption of a technology like Kafka, it's crucial to understand its historical context and original design intentions. Kafka was developed within LinkedIn specifically for unique use cases that differ from current common applications, particularly in cloud environments. The original infrastructure did not account for modern factors such as egress fees and data movement costs, which can impact the technology's performance and suitability in different organizational contexts. Awareness of these factors can inform better decision-making regarding technology integration and usage.

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