Skip to main content

HAProxy vs nginx: Why you should NEVER use nginx for load balancing!

Load balancers are the point of entrance to the datacenter. They are on the critical path to access anything and everything.
That give them some interesting characteristics. First, they are the most important thing to monitor in an infrastructure. Second, they are in a unique position to give insights not only about themselves but also about every service that they are backing.
There are two popular open-source software load balancers: HAProxy and nginx. Let’s see how they compare in this regard.

Enable monitoring on the load balancers

The title is self explanatory. It should be systematic for everything going to production.
  1. Install something new
  2. Enable stats and monitoring stuff
  3. Enable logs

Enabling nginx status page

Edit /etc/nginx/nginx.conf:
server {
    listen 0.0.0.0:6644;
    access_log off;
    
    allow 127.0.0.0/8;
    allow 10.0.0.0/8;
    deny all;
    
    location / {
         stub_status on;
    }
}

Enabling HAProxy stats page

Edit /etc/haproxy/haproxy.cfg:
listen stats 0.0.0.0:6427
    mode http
    maxconn 10
    no log
    
    acl network_allowed src 127.0.0.0/8
    acl network_allowed src 10.0.0.0/8
    tcp-request connection reject if !network_allowed
    
    stats enable
    stats uri /

Collecting metrics from the load balancer

There are standard monitoring solutions: datadog, signalfx, prometheus, graphite… [2]
These tools gather metrics from applications, servers and infrastructure. They allow to explore the metrics, graph them and send alerts.
Integrating the load balancers into our monitoring system is critical. We need to know about active clients, requests/s, error rate, etc…
Needless to say, the monitoring capabilities will be limited by what information is measured and provided by the load balancer.
[2] Sorted by order of awesomeness. Leftmost is better.

Metrics available from nginx

nginx provide only 7 different metrics.
Nginx only gives the sum, over all sites. It is NOT possible to get any number per site nor per application.
Active connections: The current number of active client connections
    including Waiting connections.
accepts: The total number of accepted client connections. 
handled: The total number of handled connections. Generally, the 
    parameter value is the same as accepts unless some resource
    limits have been reached (for example, the worker_connections limit). 
requests: The total number of client requests. 
Reading: The current number of connections where nginx is reading the
    request header. 
Writing: The current number of connections where nginx is writing the
    response back to the client. 
Waiting: The current number of idle client connections waiting for a request.

Metrics available from haproxy

HAProxy provide 61 different metrics.
The numbers are given globally, per frontend and per backend (whichever makes sense). They are available on a human readable web page and in a raw CSV format.
0. pxname [LFBS]: proxy name
1. svname [LFBS]: service name (FRONTEND for frontend, BACKEND for backend,
any name for server/listener)
2. qcur [..BS]: current queued requests. For the backend this reports the
number queued without a server assigned.
3. qmax [..BS]: max value of qcur
4. scur [LFBS]: current sessions
5. smax [LFBS]: max sessions
6. slim [LFBS]: configured session limit
7. stot [LFBS]: cumulative number of connections
8. bin [LFBS]: bytes in
9. bout [LFBS]: bytes out
[...]
32. type [LFBS]: (0=frontend, 1=backend, 2=server, 3=socket/listener)
33. rate [.FBS]: number of sessions per second over last elapsed second
34. rate_lim [.F..]: configured limit on new sessions per second
35. rate_max [.FBS]: max number of new sessions per second
36. check_status [...S]: status of last health check, one of:
37. check_code [...S]: layer5-7 code, if available
38. check_duration [...S]: time in ms took to finish last health check
39. hrsp_1xx [.FBS]: http responses with 1xx code
40. hrsp_2xx [.FBS]: http responses with 2xx code
41. hrsp_3xx [.FBS]: http responses with 3xx code
42. hrsp_4xx [.FBS]: http responses with 4xx code
43. hrsp_5xx [.FBS]: http responses with 5xx code
44. hrsp_other [.FBS]: http responses with other codes (protocol error)
[...]

Monitoring the load balancer

The aforementioned metrics are used to generate a status on the running systems.
First, we’ll see what kind of status page is provided out-of-the-box by each load balancer. Then we’ll dive into third-party monitoring solutions.

nginx status page

The 7 nginx metrics are displayed on a human readable web page, accessible at 127.0.0.1:6644/
nginx-status-page
Nginx Status Page
No kidding. This is what nginx considers a “status page“. WTF?!
It doesn’t display what applications are load balanced. It doesn’t display what servers are online (is there anything even running???). There is nothing to see on that page and it won’t help to debug any issue, ever.

HAProxy stats page

For comparison, let’s see the HAProxy monitoring page, accessible at 127.0.0.1:6427
haproxy-status-page
HAProxy Stats Page
Here we can see which servers are up or down, how much bandwidth is used, how many clients are connected and much more. That’s what monitoring is meant to be.
As an experienced sysadmin once told me: “This page is the most important thing in the universe.” [1]
Whenever something goes wonky. First, you open www.yoursite.com in a browser to see how bad it’s broken. Second, you open the HAProxy stats page to find what is broken. At this point, you’ve spot the source of the issue 90% of the time.
[0] This is especially true in environments where there is limited monitoring available, or worse, no monitoring tools at all. The status page is always here ready to help (and if it’s not, it’s only a few config lines away).

Integrating nginx with monitoring systems

All we can get are the 7 metrics from the web status page, of which only the requests/s is noteworthy. It’s not exposed in an API friendly format and it’s impossible to get numbers per site. The only hack we can do is parse the raw text, hopping no spacing will change in future versions.
Given that nginx doesn’t expose any useful information, none of the existing monitoring tools can integrate with it. When there is nothing to get, there is nothing to display and nothing to alert on.
Note: Some monitoring tools actually pretend to support nginx integrations. It means that they parse the text and extract the request/s number. That’s all they can get.

Integrating HAProxy with monitoring systems

In additional to the nice human readable monitoring page, all the HAProxy metrics are available in a CSV format. Tools can (and do) take advantage of it.
For instance, this is the default HAProxy dashboard provided by Datadog:
haproxydash
Datadog pre-made dashboard for HAProxy
A Datadog agent installed on the host gathers the HAProxy metrics periodically. The metrics can be graphed, the graphs can be arranged into dashboards (this one is an example), and last but not least we can configure automatic alerts.
The HAProxy stats page gives the current status (at the time the page is generated) whereas the monitoring solution saves the history and allows for debugging back in time.

Why does nginx have no monitoring?

All monitoring capabilities are missing from nginx on purpose. They are not and will never be available for free. Period.
If you are already locked-in by nginx and you need a decent monitoring page and a JSON API for integrating, you will have to pay for the “Nginx Plus” edition. The price starts at $1900 per server per year.

Conclusion: Avoid nginx at all costs

Load balancers are critical points of transit and the single most important things to monitor in an infrastructure.
Nginx stripped all monitoring features for the sake of money, while pretending to be open-source.
Being left entirely blind on our operations is not acceptable. Stay away from nginx. Use HAProxy instead.

Comments

Popular posts from this blog

OWASP Top 10 Threats and Mitigations Exam - Single Select

Last updated 4 Aug 11 Course Title: OWASP Top 10 Threats and Mitigation Exam Questions - Single Select 1) Which of the following consequences is most likely to occur due to an injection attack? Spoofing Cross-site request forgery Denial of service   Correct Insecure direct object references 2) Your application is created using a language that does not support a clear distinction between code and data. Which vulnerability is most likely to occur in your application? Injection   Correct Insecure direct object references Failure to restrict URL access Insufficient transport layer protection 3) Which of the following scenarios is most likely to cause an injection attack? Unvalidated input is embedded in an instruction stream.   Correct Unvalidated input can be distinguished from valid instructions. A Web application does not validate a client’s access to a resource. A Web action performs an operation on behalf of the user without checking a shared sec

CKA Simulator Kubernetes 1.22

  https://killer.sh Pre Setup Once you've gained access to your terminal it might be wise to spend ~1 minute to setup your environment. You could set these: alias k = kubectl                         # will already be pre-configured export do = "--dry-run=client -o yaml"     # k get pod x $do export now = "--force --grace-period 0"   # k delete pod x $now Vim To make vim use 2 spaces for a tab edit ~/.vimrc to contain: set tabstop=2 set expandtab set shiftwidth=2 More setup suggestions are in the tips section .     Question 1 | Contexts Task weight: 1%   You have access to multiple clusters from your main terminal through kubectl contexts. Write all those context names into /opt/course/1/contexts . Next write a command to display the current context into /opt/course/1/context_default_kubectl.sh , the command should use kubectl . Finally write a second command doing the same thing into /opt/course/1/context_default_no_kubectl.sh , but without the use of k

标 题: 关于Daniel Guo 律师

发信人: q123452017 (水天一色), 信区: I140 标  题: 关于Daniel Guo 律师 关键字: Daniel Guo 发信站: BBS 未名空间站 (Thu Apr 26 02:11:35 2018, 美东) 这些是lz根据亲身经历在 Immigration版上发的帖以及一些关于Daniel Guo 律师的回 帖,希望大家不要被一些马甲帖广告帖所骗,慎重考虑选择律师。 WG 和Guo两家律师对比 1. fully refund的合约上的区别 wegreened家是case不过只要第二次没有file就可以fully refund。郭家是要两次case 没过才给refund,而且只要第二次pl draft好律师就可以不退任何律师费。 2. 回信速度 wegreened家一般24小时内回信。郭律师是在可以快速回复的时候才回复很快,对于需 要时间回复或者是不愿意给出确切答复的时候就回复的比较慢。 比如:lz问过郭律师他们律所在nsc区域最近eb1a的通过率,大家也知道nsc现在杀手如 云,但是郭律师过了两天只回复说让秘书update最近的case然后去网页上查,但是上面 并没有写明tsc还是nsc。 lz还问过郭律师关于准备ps (他要求的文件)的一些问题,模版上有的东西不是很清 楚,但是他一般就是把模版上的东西再copy一遍发过来。 3. 材料区别 (推荐信) 因为我只收到郭律师写的推荐信,所以可以比下两家推荐信 wegreened家推荐信写的比较长,而且每封推荐信会用不同的语气和风格,会包含lz写 的research summary里面的某个方面 郭家四封推荐信都是一个格式,一种语气,连地址,信的称呼都是一样的,怎么看四封 推荐信都是同一个人写出来的。套路基本都是第一段目的,第二段介绍推荐人,第三段 某篇或几篇文章的abstract,最后结论 4. 前期材料准备 wegreened家要按照他们的模版准备一个十几页的research summary。 郭律师在签约之前说的是只需要准备五页左右的summary,但是在lz签完约收到推荐信 ,郭律师又发来一个很长的ps要lz自己填,而且和pl的格式基本差不多。 总结下来,申请自己上心最重要。但是如果选律师,lz更倾向于wegreened,