Blog post: Creating Your Own Analytics Tool with Custom Middleware on Django

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My latest blog post is here to help you harness the power of analytics and supercharge your app’s performance and scalability.

In this blog post, I dive deep into creating your very own analytics tool using custom middleware in Django. You’ll discover how to capture crucial page view data, set up a robust data model, and gain valuable insights into user behavior.

I explore advanced techniques such as asynchronous processing with Celery, enabling you to handle analytics data seamlessly without impacting your app’s response times.

I also delve into the world of batch processing, demonstrating how to efficiently handle large volumes of analytics data by grouping them into batches and optimizing database operations for enhanced performance.

I even show you how to leverage database routing to store your analytics data in a separate database, providing isolation and scalability for your analytics needs.

Read the full blog post here: Creating Your Own Analytics Tool with Custom Middleware on Django

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