Haproxy download local file

The best answers are voted up and rise to the top. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Learn more. Does HAProxy support logging to a file? Ask Question. Asked 5 years, 9 months ago. Active 12 months ago. Viewed 82k times. I've just installed haproxy on my test server. Is there a way of making it write its logs to a local file, rather than syslog? Unfortunately, the only information I can find all revolves around logging to a syslog server.

Improve this question. Chris Stryczynski 3, 1 1 gold badge 26 26 silver badges 43 43 bronze badges. I don't think HAProxy can log to a file, and I suspect the reason for this is that writes to disk are a blocking operation. Why do you really not want to use syslog? Config is not all that tricky. You can assign a local facility to HAProxy and configure your syslog daemon to write those entries to a different file, and not to other syslog files or network streams , if you're not wanting the HAProxy logs not to be mixed in with everything else.

Please refer to upstream's excellent and comprehensive documentation on the subject of configuring HAProxy for your needs.

You will need a kernel at version 4. Make sure the port you're using is free. Note: the 2. If this configuration file refers to any other files within that folder then you should ensure that they also exist e. However, many minimal configurations do not require any supporting files.

If you used a bind mount for the config and have edited your haproxy. The entrypoint script in the image checks for running the command haproxy and replaces it with haproxy-systemd-wrapper from HAProxy upstream which takes care of signal handling to do the graceful reload.

Some hardware load balancers still do not use proxies and process requests at the packet level and have a great difficulty at supporting requests across multiple packets and high response times because they do no buffering at all. On the other side, software load balancers use TCP buffering and are insensible to long requests and high response times. A nice side effect of HTTP buffering is that it increases the server's connection acceptance by reducing the session duration, which leaves room for new requests.

There are 3 important factors used to measure a load balancer's performance : The session rate This factor is very important, because it directly determines when the load balancer will not be able to distribute all the requests it receives. It is mostly dependant on the CPU.

This factor is measured with varying object sizes, the fastest results generally coming from empty objects eg: HTTP , or response codes. The session concurrency This factor is tied to the previous one. Generally, the session rate will drop when the number of concurrent sessions increases except with the epoll or kqueue polling mechanisms. The slower the servers, the higher the number of concurrent sessions for a same session rate. If a load balancer receives sessions per second and the servers respond in ms, then the load balancer will have concurrent sessions.

This number is limited by the amount of memory and the amount of file-descriptors the system can handle. In practise, socket buffers in the system also need some memory and sessions per GB of RAM is more reasonable. Also they don't process any data so they don't need any buffer. Moreover, they are sometimes designed to be used in Direct Server Return mode, in which the load balancer only sees forward traffic, and which forces it to keep the sessions for a long time after their end to avoid cutting sessions before they are closed.

The data forwarding rate This factor generally is at the opposite of the session rate. Highest data rates are achieved with large objects to minimise the overhead caused by session setup and teardown. Large objects generally increase session concurrency, and high session concurrency with high data rate requires large amounts of memory to support large windows. High data rates burn a lot of CPU and bus cycles on software load balancers because the data has to be copied from the input interface to memory and then back to the output device.

Hardware load balancers tend to directly switch packets from input port to output port for higher data rate, but cannot process them and sometimes fail to touch a header or a cookie. Haproxy on a typical Xeon E5 of can forward data up to about 40 Gbps. A fanless 1. A load balancer's performance related to these factors is generally announced for the best case eg: empty objects for session rate, large objects for data rate.

This is not because of lack of honnesty from the vendors, but because it is not possible to tell exactly how it will behave in every combination. So when those 3 limits are known, the customer should be aware that it will generally perform below all of them.

A good rule of thumb on software load balancers is to consider an average practical performance of half of maximal session and data rates for average sized objects. Reliability - keeping high-traffic sites online since Being obsessed with reliability, I tried to do my best to ensure a total continuity of service by design. It's more difficult to design something reliable from the ground up in the short term, but in the long term it reveals easier to maintain than broken code which tries to hide its own bugs behind respawning processes and tricks like this.

In single-process programs, you have no right to fail : the smallest bug will either crash your program, make it spin like mad or freeze. There has not been any such bug found in stable versions for the last 13 years , though it happened a few times with development code running in production. HAProxy has been installed on Linux 2. Obviously, they were not directly exposed to the Internet because they did not receive any patch at all.

The kernel was a heavily patched 2. On such systems, the software cannot fail without being immediately noticed! Right now, it's being used in many Fortune companies around the world to reliably serve billions of pages per day or relay huge amounts of money. Some people even trust it so much that they use it as the default solution to solve simple problems and I often tell them that they do it the dirty way. Connect and share knowledge within a single location that is structured and easy to search.

How to start the Haproxy with the custom config location? Prom previous answer i understand the -f param to set haproxy. Here's an example of a simple file I once created in an environment where I had limited flexibility and wasn't using any service control mechanisms.

This script was executable and in the path, and was run to start or reload HAProxy. Customize with your paths. Line breaks added for clarity:. The -f specifies the config file, -c checks the config.

In the second invocation, -p specifies the pid file to which the new process should eventually write its process id, and -sf directs HAProxy to do a soft reload, taking over control from the process number returned from the old existing file. This will cause the old process to terminate itself once all of its existing connections are drained.

Sign up to join this community. The best answers are voted up and rise to the top. Stack Overflow for Teams — Collaborate and share knowledge with a private group.