Mohammad Al-Khani

Case study · Caching

Cutting cache memory 44%

Key-level memory profiling and a shared Redis client library cut cache memory 44%, peak utilization from 94% to 56%, and ended connection drops.

Result: Cache memory: down 44%. Peak utilization: 94% → 56%.

Context

A production cache sat behind several latency-sensitive services.

Problem

The cache had become a single point of failure: frequent connection drops, nodes near capacity, no way to run it locally, and data drifting out of sync.

Approach

Moved the cache to dedicated, long-lived nodes, profiled memory key by key to remove waste, and built a shared Java/Python client library with cluster-aware pooling, TTL defaults and metrics.

Result

  • Memory down 44%; peak utilization 94% → 56%.
  • Connection drops resolved.
  • Local development became possible.

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