Cutting Python Web App Memory Over 31%
Summary
A Python developer shares practical memory optimization techniques for Python web apps, achieving a 3.2 GB memory reduction by applying async architecture, import isolation, raw+dc data pattern, lazy local imports, and disk-based caching. The article provides concrete before/after metrics and actionable steps that can inform performance-focused optimization in small to mid-sized teams.