I Deleted Our Kafka Cluster. Went Back to PostgreSQL. Throughput Increased 40%.

📰 Medium · Programming

Learn how deleting a Kafka cluster and switching to PostgreSQL increased throughput by 40% and simplified the system architecture

intermediate Published 19 Apr 2026
Action Steps
  1. Assess your current system architecture for unnecessary complexity
  2. Evaluate the trade-offs between scalability and simplicity
  3. Consider alternative solutions like PostgreSQL for messaging and event streaming
  4. Measure and monitor system performance before and after changes
  5. Simplify your system architecture by removing unnecessary components
Who Needs to Know This

This story is relevant to software engineers, architects, and DevOps teams who design and implement data processing pipelines and messaging systems. It highlights the importance of simplicity and pragmatism in system design

Key Insight

💡 Simplifying system architecture can lead to significant performance improvements

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💡 Deleted Kafka cluster, switched to PostgreSQL, and increased throughput by 40%! Sometimes less is more in system design #softwareengineering #devops
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