System Design Codex's resource offers insights, tutorials, and resources for software architects and system designers. Readers can learn about system architecture patterns, scalability principles, and distributed computing concepts. With articles, case studies, and design principles, System Design Codex provides  guidance and expertise for designing robust and scalable software systems.

System Design Codex

If your application is slow despite optimized code, the database might be the bottleneck. This issue often arises because database operations like disk access and network calls are slower than in-memory processes. To address this, you must identify bottlenecks using methods like query profiling and monitoring key performance metrics. Optimize queries by adding indexes, avoiding SELECT *, and using joins instead of nested queries. Also consider architectural optimizations such as caching, connection pooling, materialized views, sharding, and read replicas to improve performance and scalability.

Your Code is Fast, But Your Database is Slow—Now What?

Why the Database Can Become a Bottleneck?

Scaling Beyond Queries: Architectural Optimizations

<p>Maybe it’s not the database that’s slow, but the developer is bad. ;)</p>


<p>I think this is something that people working with data should know.</p>
