This blog explores best practices for optimizing PostgreSQL databases to ensure high performance and scalability. It covers essential techniques such as query tuning, index management, and table optimization. Additionally, it highlights the integration of database optimization into the Software Development Lifecycle (SDLC) model, ensuring performance is prioritized throughout development. The blog also addresses memory management challenges in Python applications, offering tools like Pympler, objgraph, and tracemalloc to identify and resolve memory leaks. Whether you're a developer optimizing queries or debugging Python memory issues, this guide provides actionable insights to deliver efficient, reliable, and scalable software solutions.