Request Details

Route
/slow GET
Timestamp
Sep 18, 2026 6:27 PM
Duration
218.29 ms
Status
200
Response Size
220 KB
Error
No

Performance Breakdown

Database
6.1% (5 queries)
View Rendering
7.9%
Application Logic
86.0%
Other Operations
0.0%
Total Operations
15
Slowest Operation
218.29 ms

Request Trace

How to read this

Each row is a layer of your stack. Many short Database bars means N+1 queries — fix with includes(). A wide Action bar with little Database time means slow Ruby code. A wide View bar usually means a partial rendered in a loop.

Action
View
Database
Other
Action
View
Database
0.0ms 317.4ms 634.7ms 952.1ms 1269.4ms

Operations

How to use this

Sort by Impact to find your biggest wins. Click any row for details and optimisation suggestions. The same SQL appearing multiple times is an N+1 — fix with includes(). A single operation above 50% impact is your highest priority.

Operation Duration Impact Timeline Actions
home/index 9 ms 4.1%
home#slow 218 ms 100.0%
SELECT users.*, posts.*, comments.*, COUNT(DISTINCT posts.id) as post_count, COUNT(DISTINCT comments.id) as comment_count, AVG(posts.view_count) as avg_views, MAX(comments.created_at) as latest_comment FROM users LEFT JOIN posts ON users.id = posts.use... 31 ms 14.2%
layouts/application 21 ms 9.6%
SELECT * FROM users LEFT JOIN posts ON users.id = posts.user_id LEFT JOIN comments ON posts.id = comments.post_id LEFT JOIN tags ON posts.id = tags.post_id LEFT JOIN categories ON posts.category_id = categories.id WHERE users.active = ? AND posts.publi... 28 ms 12.8%
SELECT users.* FROM users LEFT JOIN posts ON users.id = posts.user_id LEFT JOIN comments ON posts.id = comments.post_id WHERE users.active = ? AND posts.published = ? AND comments.approved = ? OR users.created_at > ? AND posts.created_at > ? AND commen... 1 ms 0.5%
home#slow 218 ms 100.0%
layouts/application 22 ms 10.1%
users/index 33 ms 15.1%
home#slow 218 ms 100.0%
home#slow 218 ms 100.0%
home/index 15 ms 6.9%
SELECT name FROM users 12 ms 5.5%
SELECT * FROM (SELECT users.id, users.name, users.email, COUNT(posts.id) as post_count FROM users LEFT JOIN posts ON users.id = posts.user_id WHERE users.active = ? GROUP BY users.id) as user_posts JOIN (SELECT user_id, COUNT(*) as comment_count FROM c... 6 ms 2.7%
home#slow 218 ms 100.0%