rb:perf

To find N+1 queries in Ruby on Rails, analyze Active Record patterns to detect inefficient object loading and receive prioritized impact-effort recommendations for resolving the bottlenecks.

High latency in Sidekiq background queues is caused by slow job execution and object churn. Analyzing queue performance helps target these bottlenecks and provides multi-step plans or quick fixes to reduce latency.

To analyze Redis cache misses in a Rails application, evaluate your Redis key usage patterns to identify misuse. This yields prioritized findings to guide whether you need quick fixes or deeper investigation.

Yes, performance analysis works with Grape and Active Record, targeting slow endpoints and inefficient serialization across the stack. It generates prioritized findings ranked by impact and effort.

The best way to prioritize Ruby performance bottlenecks is to evaluate slow endpoints, queue latency, and cache misses using an impact-effort ranking. This determines whether to apply quick fixes, multi-step plans, or investigate further.