Every Django developer loves the Admin interface for its rapid development capabilities—until performance becomes a bottleneck. When your database grows to millions of records, those convenient list views and change forms can become a frustrating experience for your team.

This talk breaks down Django Admin performance optimization into three practical segments:
First, we'll diagnose common bottleneck patterns that emerge as your data scales, using real-world examples to demonstrate how Django Admin's default behavior can impact performance. Then, you'll learn to identify these patterns in your applications using the Django Debug Toolbar and query analysis.
Next, we'll dive into hands-on solutions, exploring:

• Strategic use of list_select_related and prefetch_related to reduce query count
• Custom ModelAdmin implementations that optimize queryset efficiency
• Advanced pagination techniques beyond the default
• Targeted caching strategies for admin views and form fields
• List filter optimizations for large datasets

Finally, we'll look at monitoring and maintenance strategies to ensure your optimizations stay effective as your application grows. We'll cover tools and practices for continuous performance monitoring of your admin interface.
Throughout the talk, we'll use real code examples and performance metrics from production applications, giving you concrete techniques you can implement immediately. Whether you're managing thousands or millions of records, you'll walk away with practical solutions to make your Django Admin fast and efficient.