wheels analyze performance

Analyzes application performance, identifying bottlenecks and optimization opportunities in your Wheels application.

Usage

wheels analyze performance [--target=<target>] [--duration=<seconds>] [--report] [--threshold=<ms>] [--profile]

Parameters

• --target - (Optional) Analysis target: all, controller, view, query, memory. Default: all

• --duration - (Optional) Duration to run analysis in seconds. Default: 30

• --report - (Optional) Generate HTML performance report

• --threshold - (Optional) Performance threshold in milliseconds. Default: 100

• --profile - (Optional) Enable profiling mode

Description

The analyze performance command profiles your Wheels application to identify performance bottlenecks and provide optimization recommendations. It monitors:

• Request execution times

• Database query performance

• Memory usage patterns

• Cache effectiveness

• View rendering times

• Component instantiation overhead

Examples

Basic performance analysis

wheels analyze performance

Analyze for 60 seconds with profiling

wheels analyze performance --duration=60 --profile

Focus on database queries only

wheels analyze performance --target=query

Show only slow operations (>500ms)

wheels analyze performance --threshold=500

Generate HTML performance report

wheels analyze performance --report

Complete analysis with all options

wheels analyze performance --target=all --duration=60 --threshold=200 --profile --report

Output

The analysis provides:

• Slowest Requests: Top 10 slowest request paths

• Query Analysis: Slow queries and N+1 query detection

• Memory Hotspots: Areas of high memory allocation

• Cache Statistics: Hit/miss ratios for various caches

• Recommendations: Specific optimization suggestions

Sample Output

Starting performance monitoring for 30 seconds...
Target: all
Threshold: 100ms


Performance Analysis Complete!

Summary:
-----------------------------------------
Requests Analyzed: 29
Average Response Time: 290ms
Slowest Request: 491ms
Fastest Request: 51ms
Slow Requests (>100ms): 26

Queries Executed: 29
Average Query Time: 95ms
Slow Queries (>50ms): 23

Average Memory Usage: 193MB
Peak Memory Usage: 193.911277770996MB

Slow Requests:
-----------------------------------------
#list of requests

Slow Queries:
-----------------------------------------
#list of quries

Performance Recommendations:
-----------------------------------------
   Consider implementing caching for frequently accessed data
   Add indexes to improve query performance
   Use query caching for repetitive queries
   Enable query result caching in production
   Use CDN for static assets
   Implement lazy loading for heavy operations

Notes

• Profiling adds minimal overhead to your application

• Best run in a staging environment with production-like data

• Can be integrated with APM tools for continuous monitoring

• Results are aggregated across all application instances