rack-mini-profiler

Author of peek here. Honestly, I got burnt out. We stopped using this internally at GitHub for our secondary Rails applications which made it difficult to continue working on. Rails was going through its identity crisis with asset pipelines and I didn't feel like trying to support every available option for people like Sprockets, Importmaps, NPM, Bower, etc. It was nice when there was the paved path and users could generally follow the README and be up and running quickly. https://github.com/MiniProfiler/rack-mini-profiler gets you most of the way there and comes by default in the Gemfile for new Rails applications.

Some of this already exists to some degree: https://github.com/MiniProfiler/rack-mini-profiler

The screenshot shows a breakdown of timing by component (Middleware, router, view, etc). Or perhaps I don't quite understand what you mean by "model an actual timeline"? As a side note, we've been using miniprofiler[0] for a long while now, and it has some limitations, but can be very useful some times. [0] https://github.com/MiniProfiler/rack-mini-profiler

Whooops responded with old account. If you run `$ env RAILS_ENV=production rake middleware` you'll see that your final app that gets mounted is actually the "routes" of your app. run CodeTriage::Application.routes Essentially that RouteSet#call wraps every piece of code you've ever written for your app. I think that newrelic is reporting that is the entry point to your app code which makes sense that it takes the longest amount of time. For a better view of request break down I would recommend checking out https://github.com/MiniProfiler/rack-mini-profiler. You'll not only see where request time is being spent, you'll see how it "stacks up". The flame graphs are pretty useful check out http://www.nateberkopec.com/2015/08/05/rack-mini-profiler-th... for more info.

MiniProfiler supports this and more. It exists for: ruby: https://github.com/MiniProfiler/rack-mini-profiler .net: https://github.com/MiniProfiler/dotnet go: https://github.com/MiniProfiler/go (w/ support for app engine, revel, martini, and others) If there is a python dev who wants to port MiniProfiler to python, I would love to help (I'm a MiniProfiler maintainer and did the go port). The UI is all done, you just spit out some JSON and include the js file. Kamens has a good port, but it's not based on this new UI library.

Great tip! For rails devs, I strongly recommend rack-mini-profiler [0]. It gives you an in-browser view of rendering time (which you can expand to break out by partial) with query time listed for each query. Each query also includes a stacktrace to make it easy to fix offensive queries. Great for identifying N+1 query bugs as well. There's a railscast for it, too [1]. [0] https://github.com/MiniProfiler/rack-mini-profiler [1] http://railscasts.com/episodes/368-miniprofiler

Tools like https://github.com/MiniProfiler/rack-mini-profiler really help with the N+1, and general insight into how long database calls usually take. Relevant RailsCast: http://railscasts.com/episodes/368-miniprofiler?view=asciica...

I echo some of the sentiment that some of these gems provide, but they are quite helpful in getting a quick project up and running in a few minutes to start playing around. Some of my favorites: figaro[1] Alternative to dotenv, awesome mascot. rack-mini-profiler[2] Often folks will say to save performance tuning until the end. I find having this around from the get go makes it much easier to do as you move along. I love sidekiq though. Probably the best on the list. Background queues are essential to most, if not all Rails applications. The goworker post from today looks interesting too. [1] https://github.com/laserlemon/figaro [2] https://github.com/MiniProfiler/rack-mini-profiler