When facing software performance bottlenecks, I follow an approach I call the USE Method: Usage, Saturation, and Errors. Usage: I thoroughly analyze resource usage metrics to identify if any resources are exhausted. This helps pinpoint areas where limits may have been hit, causing slowdowns. Saturation: Next, I evaluate service saturation levels, ensuring no services are overwhelmed. Optimizing here can significantly enhance performance and stability. Errors: Finally, I dive into logs to uncover errors at the most granular level, tracing issues in specific processes to identify and resolve root causes efficiently. This structured method systematically diagnoses and resolves performance issues.

Performance issues can have many root causes, so giving a specific answer is not possible. Here are some guidelines: Keep Calm. Measure. Identify bottlenecks. Fix bottlenecks. Repeat.

You should check the code for potential memory leakages and orphaned processes. If the problem persists, you might need to optimize the code or upgrade your environment.

1) Check logs for exception 2) Check RAM and CPU usage 3) Check Data size and query 4) Check Network connectivity 5) Check the code

Software running slower than expected can result from unoptimized code, database inefficiencies, or resource constraints (CPU, memory, or network). Tools like profilers and monitors can pinpoint bottlenecks in areas like database queries, heavy assets, or dependency issues. Addressing these involves optimizing algorithms, leveraging caching, and ensuring proper load balancing.