performance-scout

To identify performance bottlenecks, you can triage application logs, benchmarks, and runtime counters to pinpoint issues like inefficient database queries or high CPU usage. The analysis provides immediate insights into potential causes of application slowdowns.

Yes, you can automate code review to enforce performance optimization best practices. The analysis evaluates your codebase and suggests improvements based on runtime data and benchmark results to ensure adherence to performance standards.

Yes, you need shell command access to triage runtime counters and benchmark results effectively. Comprehensive performance analysis requires both reading project files and executing shell commands to gather the necessary runtime data.

The best way to diagnose a sudden application slowdown is by analyzing recent runtime counters and benchmark results. This triage process quickly isolates the root cause of the performance degradation, such as resource exhaustion or query inefficiencies.

By analyzing logs and runtime data, you can pinpoint performance issues such as inefficient database queries, high CPU usage, and other bottlenecks. This triage highlights specific areas in your code that violate performance best practices.