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This document discusses techniques for improving the performance of Django projects handling high traffic volumes. It identifies common areas of concern like database performance, web server configuration, caching, and template rendering. It provides examples of optimizing ORM queries, implementing object caching with invalidation plans, profiling code to identify bottlenecks, and leveraging tools like Varnish, memcached, and database query profiling. The key lessons are to develop a caching strategy, use profiling to optimize problem areas, and consider alternative web server software or configurations to improve performance.