Category: Database
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Scaling Python Backends: Database Sharding and Replication Strategies
As your application grows, one of the most challenging aspects of scaling is managing increasing database load. When query volumes and data size expand, a single database instance eventually becomes a bottleneck. In this post, I’ll explore how to implement database sharding and replication strategies in Python backends to achieve horizontal scalability and high availability.…
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Using Redis for Caching in Python Backend Application
As backend developers, we’re constantly looking for ways to optimize our applications for better performance. One of the most effective techniques is implementing caching to reduce database load and speed up response times. In this post, I’ll dive into how to effectively use Redis as a caching solution in Python backend applications. What is Redis…
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PostgreSQL with Python: Advanced Query Optimization Techniques
Written by: Rizqi Mulki – Python Backend Developer PostgreSQL is one of the most powerful open-source relational databases, but without proper optimization, complex queries can slow down your application. As a backend developer working with Python and PostgreSQL, I’ve compiled the most effective query optimization techniques to improve performance in production environments. Why Optimize PostgreSQL…