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phusion
passenger
C++2010–2026
phusion / passenger

passenger

A fast and robust web server and application server for Ruby, Python and Node.js

12Distinct people
25Mentions
0Explicit recommenders
5.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A fast and robust web server and application server for Ruby, Python and Node.js

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 5:03:38 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year25 dated mentions

Observed mentions: 2010-06-08 15:47:35 UTC to 2026-06-09 18:23:39 UTC.

0369122010-01-01 00:00:00 UTC to 2011-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20102011-01-01 00:00:00 UTC to 2012-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 11 mentions; 4 submissions, 7 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20102010-01-01 00:00:00 UTC2011-01-01 00:00:00 UTC202
20112011-01-01 00:00:00 UTC2012-01-01 00:00:00 UTC202
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC202
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC1147
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC202
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC202
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC321
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

2 sources
Our application runs an Apache MPM/Passenger/MySQL stack. We conduct real-time purchasing events with anywhere from 5-25 sellers bidding in an event that may have 200+ line items spread out over several lots. Using the "minimum viable product" philosophy, the bidder interface relies on AJAX polling at a 3 second interval to get updated information (yes, we have plans to move to something different [Socket.io, actually]). This means that our app gets hammered during an event. All of this runs within 1 GB of RAM on our VPS, and that includes 6 Passenger instances and MaxClients set to 150 (GASP!). Here's a sample of our passenger-memory-stats output during a large-ish event: --------- Apache processes ---------- PID PPID VMSize Private Name ------------------------------------- 480 21168 17.6 MB 0.5 MB /usr/sb
Read the rest
in/apache2 -k start 1216 21168 17.6 MB 0.6 MB /usr/sbin/apache2 -k start 5252 21168 17.6 MB 0.6 MB /usr/sbin/apache2 -k start 5340 21168 17.6 MB 0.6 MB /usr/sbin/apache2 -k start 5992 21168 17.6 MB 0.5 MB /usr/sbin/apache2 -k start [REMOVED TO SAVE SPACE] 17163 21168 17.6 MB 0.5 MB /usr/sbin/apache2 -k start 21168 1 17.3 MB 0.4 MB /usr/sbin/apache2 -k start ### Processes: 89 ### Total private dirty RSS: 42.10 MB -------- Nginx processes -------- ### Processes: 0 ### Total private dirty RSS: 0.00 MB ---- Passenger processes ----- PID VMSize Private Name ------------------------------ 5997 55.2 MB 29.6 MB Rack: /var/www/redacted/current 6006 60.8 MB 34.5 MB Rack: /var/www/redacted/current 14262 63.4 MB 50.1 MB Rack: /var/www/redacted/current 20205 63.1 MB 49.7 MB Rack: /var/www/redacted/current 25250 5.1 MB 0.2 MB PassengerWatchdog 25253 14.1 MB 0.6 MB PassengerHelperAgent 25255 10.6 MB 4.8 MB Passenger spawn server 25259 9.0 MB 0.5 MB PassengerLoggingAgent 25412 63.2 MB 49.9 MB Rack: /var/www/redacted/current 32492 51.8 MB 39.6 MB Rack: /var/www/redacted/current ### Processes: 10 ### Total private dirty RSS: 259.50 MB I don't know what the author's experience has been, but I've seen the recommendation to trim Apache back to 10-15 MaxClients all over the place, and when we took that advice, the results were catastrophic to app performance. We almost fell apart during an event because of slow clients tying up Apache processes. We did plenty of benchmarking prior to going live, but getting a picture of real world performance is a lot harder than running `siege -c 250 http://hostname` against your server. If you're going to trim Apache back that far, I'd recommend turning off KeepAlive altogether. You want that Apache process free immediately. If you are forced to run a config this tight, it's likely that you can afford the CPU and interrupt overhead of setting up a new TCP/IP session, but you can't afford the extra processes lying around idle, sucking up memory and MaxClient slots. In other words you're heavily memory bound. So let me be clear about this: Trimming MaxClients to 10-15 is horrible advice if you don't understand what your actual memory usage (maybe you can run more) is and the impact of slow clients. I trimmed our Apache modules back to a bare minimum, resulting in an average Apache process size of 0.45 MB. Yes, less than 512 KB per Apache process. We run 'MaxClients' 150 with zero fear of running out of memory. If you're running a PHP based site, your Apache process size is going to be larger, but you had better know what that is before you start tweaking your MaxClients config. I should probably write a blog post about tweaking Apache settings, because I've learned a lot of "hard knocks" lessons, not the least of which is "understand your web server's memory usage", but here are some quick tips in the mean time: * Unload modules you don't need! Saving a couple megabytes of memory across 100 Apache processes means saving 200 MB of memory. * To understand how much memory Apache processes are using, DO NOT rely on `top`. Have a look at the way `passenger-memory-stats` calculates real memory usage [1]. * Understand the output of `free -m`, especially the "-/+ buffers/cache" line. * Do not rely on benchmarking tools like siege to tell you the whole story. Slow clients are difficult to account for. * If you have to run a limited number of MaxClients, or you run up against your MaxClients limit frequently, try turning off KeepAlive [2]. If you follow those tips, you'll see a dramatic improvement in the accuracy of your Apache config for your environment, because that's what it comes down to. Apache is a fantastic web server, but it has to be configured to fit your environment. I don't have any dislike for nginx, but a lot of the nginx recommendations I see are born out of the inability to properly configure their existing web server. If you don't already know/understand Apache, I wouldn't hesitate to make the jump to nginx. It is also a fantastic web server. Hopefully this has helped someone. 1 - https://github.com/FooBarWidget/passenger/blob/master/bin/pa... 2 - http://serverfault.com/questions/86550/apache-keep-alive-or-...
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