Request Coalescing in Spring Boot for Hot Cache Keys

📰 Medium · Programming

Learn to implement request coalescing in Spring Boot to reduce cache misses and improve performance under traffic spikes

intermediate Published 29 Apr 2026
Action Steps
  1. Identify hot cache keys in your application using metrics and monitoring tools
  2. Implement a request coalescing mechanism in Spring Boot to merge duplicate requests for the same cache key
  3. Configure a cache store to temporarily hold coalesced requests and return cached responses
  4. Test the request coalescing mechanism under simulated traffic spikes to measure performance improvements
  5. Apply the request coalescing technique to other cache-aside flows in your application to optimize overall system performance
Who Needs to Know This

Backend developers and engineers working with Spring Boot can benefit from this technique to optimize their cache-aside flow and improve system performance

Key Insight

💡 Request coalescing can significantly reduce cache misses and improve system performance by merging duplicate requests for the same cache key

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🚀 Reduce cache misses and improve performance under traffic spikes with request coalescing in Spring Boot!

Full Article

Traffic spikes expose one of the hardest moments in a cache-aside flow. Think about ten requests for the same product id arriving right… Continue reading on Medium »
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