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Scout Monitoring

Company blog · scoutapm.com/blogprogrammingweb

Scout Monitoring is the company blog at scoutapm.com, writing about programming and web. Since 2020, 10 different Hacker News readers have linked it 13 times, most often “Performance Impact of Using Ruby on Rails View Partials”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
13mentions?
10HN people?
2020–2025first – last linked?
Links on Hacker News per year · peak 4 in 2020

Too few sampled comments (4) to say how often HN recommends it.?

Why HN links it

HN readers link Scout's blog for explanations of technical topics such as Ruby performance, Ractors, Unix load averages, and N+1 queries with counter caches. One commenter calls its traffic analogy for load averages a good explanation.

Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Errors, logs, and traces for Rails, Django, Node.js, Laravel, and Phoenix apps. Give Claude Code and Cursor your production data via MCP. Free trial, no per-seat pricing.

Most-linked posts?

  1. Performance Impact of Using Ruby on Rails View Partials
    2 people · 2 mentions · first linked 2020-11-04

What Hacker News says?

  1. This article says otherwise: https://scoutapm.com/blog/performance-impact-of-using-ruby-o... Maybe it has changed but either way they still can be a bottle neck

    Comment linking /blog/performance-impact-of-using-ruby-on-rails-view-partials

    on “Faster Ruby: Thoughts from the outside”
  2. Submitted How to Use Lambdas in Ruby (2020) as a story · 60 points

    HN discussion
  3. Ruby seems to have got past its GIL problems with Ractor[1]. What's stopping Python from doing something similar? [1] https://scoutapm.com/blog/ruby-ractor

    Comment linking /blog/ruby-ractor

    on “The GIL and its effects on Python multithreading”
  4. Submitted Caching Strategies for Ultra-High Performance in Ruby on Rails, Part 1 as a story · 5 points

    HN discussion
  5. mritzmann · 2021-10-21Recommends
    The traffic analogy is a good explanation. Here you go: https://scoutapm.com/blog/understanding-load-averages

    Comment linking /blog/understanding-load-averages

    on “Explaining top(1) on FreeBSD”
  6. Submitted Performance Impact of Using Ruby on Rails View Partials as a story · 3 points

    HN discussion
  7. Somewhat deviating, but relavent. If we use counter cache that is to keep vote_count on comments table, the include(:comments) solution would work fine. https://scoutapm.com/blog/how-to-start-using-counter-caches-...

    Comment linking /blog/how-to-start-using-counter-caches-in-rails

    on “Understanding N + 1 queries problem”
  8. Submitted Unlocking the Power of Lambdas in Ruby as a story · 1 points

    HN discussion
  9. Submitted Distributed Tracing in Ruby with OpenTracing as a story · 1 points

    HN discussion
  10. Submitted Types in Ruby 3: New Features Explained (2021) as a story · 1 points

    HN discussion
  11. Submitted Understanding page faults and memory swap-in/outs as a story · 1 points

    HN discussion
  12. Submitted Ruby Garbage Collection: More Than It Sounds as a story · 1 points

    HN discussion
  13. Submitted How to Use Lambdas in Ruby as a story · 1 points

    HN discussion

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