Softpanorama (slightly skeptical) Open Source Software Educational Society

May the source be with you, but remember the KISS principle ;-) Softpanorama Search

Linux Networking

See also 

But the basic tuning steps include:

Try using NFSv3 if you are currently using NFSv2. There can be very significant performance increases with this change.

Increasing the read write block size. This is done with the rsize and wsize mount options. They need to the mount options used by the NFS clients. Values of 4096 and 8192 reportedly increase performance alot. But see the notes in the HOWTO about experimenting and measuring the performance implications. The limits on these are 8192 for NFSv2 and 32768 for NFSv3

Another approach is to increase the number of nfsd threads running. This is normally controlled by the nfsd init script. On Red Hat Linux machines, the value "RPCNFSDCOUNT" in the nfs init script controls this value. The best way to determine if you need this is to experiment. The HOWTO mentions a way to determin thread usage, but that doesnt seem supported in all kernels.

Another good tool for getting some handle on NFS server performance is `nfsstat`. This util reads the info in /proc/net/rpc/nfs[d] and displays it in a somewhat readable format. Some info intended for tuning Solaris, but useful for it's description of the nfsstat format

See also the tcp tuning info

Make sure you starting a ton of initial daemons if you want good benchmark scores.

Something like:

#######
MinSpareServers 20
MaxSpareServers 80
StartServers 32

# this can be higher if apache is recompiled
MaxClients 256

MaxRequestsPerChild 10000
        

Note: Starting a massive amount of httpd processes is really a benchmark hack. In most real world cases, setting a high number for max servers, and a sane spare server setting will be more than adequate. It's just the instant on load that benchmarks typically generate that the StartServers helps with.

The MaxRequestPerChild should be bumped up if you are sure that your httpd processes do not leak memory. Setting this value to 0 will cause the processes to never reach a limit.

One of the best resources on tuning these values, especially for app servers, is the mod_perl performance tuning documentation.

Bumping the number of available httpd processes

Apache sets a maximum number of possible processes at compile time. It is set to 256 by default, but in this kind of scenario, can often be exceeded.

To change this, you will need to chage the hardcoded limit in the apache source code, and recompile it. An example of the change is below:

 

--- apache_1.3.6/src/include/httpd.h.prezab     Fri Aug  6 20:11:14 1999
+++ apache_1.3.6/src/include/httpd.h    Fri Aug  6 20:12:50 1999
@@ -306,7 +306,7 @@
  * the overhead.
  */
 #ifndef HARD_SERVER_LIMIT
-#define HARD_SERVER_LIMIT 256
+#define HARD_SERVER_LIMIT 4000
 #endif

 /*

To make useage of this many apache's however, you will also need to boost the number of processes support, at least for 2.2 kernels. See the section on kernel process limits for info on increasing this.

The biggest scalability problem with apache, 1.3.x versions at least, is it's model of using one process per connection. In cases where there large amounts of concurent connections, this can require a large amount resources. These resources can include RAM, schedular slots, ability to grab locks, database connections, file descriptors, and others.

In cases where each connection takes a long time to complete, this is only compunded. Connections can be slow to complete because of large amounts of cpu or i/o usage in dynamic apps, large files being transfered, or just talking to clients on slow links.

There are several strategies to mitigate this. The basic idea being to free up heavyweight apache processes from having to handle slow to complete connections.

Static Content Servers

If the servers are serving lots of static files (images, videos, pdf's, etc), a common approach is to serve these files off a dedicated server. This could be a very light apache setup, or any many cases, something like thttpd, boa, khttpd, or TUX. In some cases it is possible to run the static server on the same server, addressed via a different hostname.

For purely static content, some of the other smaller more lightweight web servers can offer very good performance. They arent nearly as powerful or as flexible as apache, but for very specific performance crucial tasks, they can be a big win.

Boa: http://www.boa.org/
thttpd: http://www.acme.com/software/thttpd/
mathopd: http://mathop.diva.nl/
 

If you need even more ExtremeWebServerPerformance, you probabaly want to take a look at TUX, written by Ingo Molnar. This is the current world record holder for SpecWeb99. It probabaly owns the right to be called the worlds fastest web server.

Proxy Usage
For servers that are serving dynamic content, or ssl content, a better approach is to employ a reverse-proxy. Typically, this would done with either apache's mod_proxy, or Squid. There can be several advantages from this type of configuration, including content caching, load balancing, and the prospect of moving slow connections to lighter weight servers.

The easiest approache is probabaly to use mod_proxy and the "ProxyPass" directive to pass content to another server. mod_proxy supports a degree of caching that can offer a significant performance boost. But another advantage is that since the proxy server and the web server are likely to have a very fast interconnect, the web server can quickly serve up large content, freeing up a apache process, why the proxy slowly feeds out the content to clients. This can be further enhanced by increasing the amount of socket buffer memory thats for the kernel. See the section on tcp tuning for info on this.

proxy links

• Info on using mod_proxy in conjuction with mod_perl
   
• webtechniques article on using mod_proxy
   
• mod_proxy home page
   
• Squid
   
• Using mod_proxy with Zope

ListenBacklog

One of the most frustrating thing for a user of a website, is to get "connection refused" error messages. With apache, the common cause of this is for the number of concurent connections to exceed the number of available httpd processes that are available to handle connections.

The apache ListenBacklog paramater lets you specify what backlog paramater is set to listen(). By default on linux, this can be as high as 128.

Increasing this allows a limited number of httpd's to handle a burst of attempted connections.

There are some experimental patches from SGI that accelerate apache. More info at:

http://oss.sgi.com/projects/apache/

I havent really had a chance to test the SGI patches yet, but I've been told they are pretty effective.

Depending on the type of tests, there are a number of tweaks you can do to samba to improve its performace over the default. The default is best for general purpose file sharing, but for extreme uses, there are a couple of tweaks.

The first one is to rebuild it with mmap support. In cases where you are serving up a large amount of small files, this seems to be particularly useful. You just need to add a "--with-mmap" to the configure line.

You also want to make sure the following options are enabled in the /etc/smb.conf file:

read raw = no
read prediction = true
level2 oplocks = true

One of the better resources for tuning samba is the "Using Samba" book from O'reily. The chapter on performance tuning is available online.

netstat

Since this document is primarily concerned with network servers, the `netstat` command can often be very useful. It can show status of all incoming and outgoing sockets, which can give very handy info about the status of a network server.

One of the more useful options is:

        netstat -pa

The `-p` options tells it to try to determine what program has the socket open, which is often very useful info. For example, someone nmap's their system and wants to know what is using port 666 for example. Running netstat -pa will show you its satand running on that tcp port.

One of the most twisted, but useful invocations is:

netstat -a -n|grep -E "^(tcp)"| cut -c 68-|sort|uniq -c|sort -n

This will show you a sorted list of how many sockets are in each connection state. For example:

      9  LISTEN      
     21  ESTABLISHED 

Old News ;-)

IBM Redbooks Linux Performance and Tuning Guidelines

Abstract

Over the past few years, Linux has made its way into the data centers of many corporations all over the globe. The Linux operating system has become accepted by both the scientific and enterprise user population. Today, Linux is by far the most versatile operating system. You can find Linux on embedded devices such as firewalls and cell phones and mainframes. Naturally, performance of the Linux operating system has become a hot topic for both scientific and enterprise users. However, calculating a global weather forecast and hosting a database impose different requirements on the operating system. Linux has to accommodate all possible usage scenarios with the most optimal performance. The consequence of this challenge is that most Linux distributions contain general tuning parameters to accommodate all users.

IBM® has embraced Linux, and it is recognized as an operating system suitable for enterprise-level applications running on IBM systems. Most enterprise applications are now available on Linux, including file and print servers, database servers, Web servers, and collaboration and mail servers.

With use of Linux in an enterprise-class server comes the need to monitor performance and, when necessary, tune the server to remove bottlenecks that affect users. This IBM Redpaper describes the methods you can use to tune Linux, tools that you can use to monitor and analyze server performance, and key tuning parameters for specific server applications. The purpose of this redpaper is to understand, analyze, and tune the Linux operating system to yield superior performance for any type of application you plan to run on these systems.

The tuning parameters, benchmark results, and monitoring tools used in our test environment were executed on Red Hat and Novell SUSE Linux kernel 2.6 systems running on IBM System x servers and IBM System z servers. However, the information in this redpaper should be helpful for all Linux hardware platforms.

Update 4/2008: Typos corrected

[Feb 25, 2009] How to troubleshoot RHEL performance bottlenecks by Ken Milberg

09.30.2008

You've just had your first cup of coffee and have received that dreaded phone call. The system is slow. What are you going to do? This article will discuss performance bottlenecks and optimization in Red Hat Enterprise Linux (RHEL5).

Before getting into any monitoring or tuning specifics, you should always use some kind of tuning methodology. This is one which I've used successfully through the years:

1. Baseline – The first thing you must do is establish a baseline, which is a snapshot of how the system appears when it's performing well. This baseline should not only compile data, but also document your system's configuration (RAM, CPU and I/O). This is necessary because you need to know what a well-performing system looks like prior to fixing it.

2. Stress testing and monitoring – This is the part where you monitor and stress your systems at peak workloads. It's the monitoring which is key here – as you cannot effectively tune anything without some historic trending data.
 

3. Bottleneck identification – This is where you come up with the diagnosis for what is ailing your system. The primary objective of section 2 is to determine the bottleneck. I like to use several monitoring tools here. This allows me to cross-reference my data for accuracy.
 

4. Tune – Only after you've identified the bottleneck can you tune it.
 

5. Repeat – Once you've tuned it, you can start the cycle again – but this time start from step 2 (monitoring) – as you already have your baseline.

It's important to note that you should only make one change at a time. Otherwise, you'll never know exactly what impacted any changes which might have occurred. It is only by repeating your tests and consistently monitoring your systems that you can determine if your tuning is making an impact.

RHEL monitoring tools

Before we can begin to improve the performance of our system, we need to use the monitoring tools available to us to baseline. Here are some monitoring tools you should consider using:

Oprofile

This tool (made available in RHEL5) utilizes the processor to retrieve kernel system information about system executables. It allows one to collect samples of performance data every time a counter detects an interrupt. I like the tool also because it carries little overhead – which is very important because you don't want monitoring tools to be causing system bottlenecks. One important limitation is that the tool is very much geared towards finding problems with CPU limited processes. It does not identify processes which are sleeping or waiting on I/O.

The steps used to start up Oprofile include setting up the profiler, starting it and then dumping the data.

First we'll set up the profile. This option assumes that one wants to monitor the kernel.

# opcontrol --setup –vmlinux=/usr/lib/debug/lib/modules/'uname -r'/vmlinux

Then we can start it up.

# opcontrol --start

Finally, we'll dump the data.

# opcontrol --stop/--shutdown/--dump

SystemTap

This tool (introduced in RHEL5) collects data by analyzing the running kernel. It really helps one come up with a correct diagnosis of a performance problem and is tailor-made for developers. SystemTap eliminates the need for the developer to go through the recompile and reinstallation process to collect data.

Frysk

This is another tool which was introduced by Red Hat in RHEL5. What does it do for you? It allows both developers and system administrators to monitor running processes and threads. Frysk differs from Oprofile in that it uses 100% reliable information (similar to SystemTap) - not just a sampling of data. It also runs in user mode and does not require kernel modules or elevated privileges. Allowing one to stop or start running threads or processes is also a very useful feature.

Some more general Linux tools include top and vmstat. While these are considered more basic, often I find them much more useful than more complex tools. Certainly they are easier to use and can help provide information in a much quicker fashion.

Top provides a quick snapshot of what is going on in your system – in a friendly character-based display.

It also provides information on CPU, Memory and Swap Space.

Let's look at vmstat – one of the oldest but more important Unix/Linux tools ever created. Vmstat allows one to get a valuable snapshot of process, memory, sway I/O and overall CPU utilization.  

Now let's define some of the fields:

Memory
swpd – The amount of virtual memory
free – The amount of free memory
buff – Amount of memory used for buffers
cache – Amount of memory used as page cache

Process
r – number of run-able processes
b – number or processes sleeping. Make sure this number does not exceed the amount of run-able processes, because when this condition occurs it usually signifies that there are performance problems.

Swap
si – the amount of memory swapped in from disk
so – the amount of memory swapped out.
This is another important field you should be monitoring – if you are swapping out data, you will likely be having performance problems with virtual memory.

CPU
us – The % of time spent in user-level code.
It is preferable for you to have processes which spend more time in user code rather than system code. Time spent in system level code usually means that the process is tied up in the kernel rather than processing real data.
sy – the time spent in system level code
id – the amount of time the CPU is idle wa – The amount of time the system is spending waiting for I/O.

 

If your system is waiting on I/O – everything tends to come to a halt. I start to get worried when this is > 10.

 

There is also:

Free – This tool provides memory information, giving you data around the total amount of free and used physical and swap memory.
 

Now that we've analyzed our systems – lets look at what we can do to optimize and tune our systems.

CPU Overhead – Shutting Running Processes
Linux starts up all sorts of processes which are usually not required. This includes processes such as autofs, cups, xfs, nfslock and sendmail. As a general rule, shut down anything that isn't explicitly required. How do you do this? The best method is to use the chkconfig command.

Here's how we can shut these processes down.
[root ((Content component not found.)) _29_140_234 ~]# chkconfig --del xfs

You can also use the GUI - /usr/bin/system-config-services to shut down daemon process.

Tuning the kernel
To tune your kernel for optimal performance, start with:

sysctl – This is the command we use for changing kernel parameters. The parameters themselves are found in /proc/sys/kernel

Let's change some of the parameters. We'll start with the msgmax parameter. This parameter specifies the maximum allowable size of a single message in an IPC message queue. Let's view how it currently looks.

[root ((Content component not found.)) _29_139_52 ~]# sysctl kernel.msgmax
kernel.msgmax = 65536
[root ((Content component not found.)) _29_139_52 ~]#

There are three ways to make these kinds of kernel changes. One way is to change this using the echo command.

[root ((Content component not found.)) _29_139_52 ~]# echo 131072 >/proc/sys/kernel/msgmax
[root ((Content component not found.)) _29_139_52 ~]# sysctl kernel.msgmax
kernel.msgmax = 131072
[root ((Content component not found.)) _29_139_52 ~]#

Another parameter that is changed quite frequently is SHMMAX, which is used to define the maximum size (in bytes) for a shared memory segment. In Oracle this should be set large enough for the largest SGA size. Let's look at the default parameter:

# sysctl kernel.shmmax
kernel.shmmax = 268435456

This is in bytes – which translates to 256 MG. Let's change this to 512 MG, using the -w flag.

[root ((Content component not found.)) _29_139_52 ~]# sysctl -w kernel.shmmax=5368709132
kernel.shmmax = 5368709132
[root ((Content component not found.)) _29_139_52 ~]#

The final method for making changes is to use a text editor such as vi – directly editing the /etc/sysctl.conf file to manually make our changes.

To allow the parameter to take affect dynamically without a reboot, issue the sysctl command with the -p parameter.

Obviously, there is more to performance tuning and optimization than we can discuss in the context of this small article – entire books have been written on Linux performance tuning. For those of you first getting your hands dirty with tuning, I suggest you tread lightly and spend time working on development, test and/or sandbox environments prior to deploying any changes into production. Ensure that you monitor the effects of any changes that you make immediately; it's imperative to know the effect of your change. Be prepared for the possibility that fixing your bottleneck has created another one. This is actually not a bad thing in itself, as long as your overall performance has improved and you understand fully what is happening.

Performance monitoring and tuning is a dynamic process which does not stop after you have fixed a problem. All you've done is established a new baseline. Don't rest on your laurels, and understand that performance monitoring must be a routine part of your role as a systems administrator.

About the author: Ken Milberg is a systems consultant with two decades of experience working with Unix and Linux systems. He is a SearchEnterpriseLinux.com Ask the Experts advisor and columnist.

[Feb 23, 2009] Deployment_Guide/Gathering System Information

Before you learn how to configure your system, you should learn how to gather essential system> information. For example, you should know how to find the amount of free memory, the amount of available hard drive space, how your hard drive is partitioned, and what processes are running. This chapter discusses how to retrieve this type of information from your Red Hat Enterprise Linux system using simple commands and a few simple programs.

1. System Processes

The ps ax command displays a list of current system processes, including processes owned by other users. To display the owner alongside each process, use the ps aux command. This list is a static list; in other words, it is a snapshot of what was running when you invoked the command. If you want a constantly updated list of running processes, use top as described below. The ps output can be long. To prevent it from scrolling off the screen, you can pipe it through less:

ps aux | less

You can use the ps command in combination with the grep command to see if a process is running. For example, to determine if Emacs is running, use the following command:

ps ax | grep emacs

The top command displays currently running processes and important information about them including their memory and CPU usage. The list is both real-time and interactive. An example of output from the top command is provided as follows:

To exit top press the q key. Useful interactive commands that you can use:

• Space Immediately refresh the display

• h Display a help screen

• k Kill a process. You are prompted for the

• process ID and the signal to send to it.

• n Change the number of processes displayed.

• You are prompted to enter the number.

• u Sort by user.

• M Sort by memory usage.

• P Sort by CPU usage.

For more information, refer to the top(1) manual page.

Recommended Links

IBM Redbooks Linux Performance and Tuning Guidelines (June 05, 2007)

Over the past few years, Linux has made its way into the data centers of many corporations all over the globe. The Linux operating system has become accepted by both the scientific and enterprise user population. Today, Linux is by far the most versatile operating system. You can find Linux on embedded devices such as firewalls and cell phones and mainframes. Naturally, performance of the Linux operating system has become a hot topic for both scientific and enterprise users. However, calculating a global weather forecast and hosting a database impose different requirements on the operating system. Linux has to accommodate all possible usage scenarios with the most optimal performance. The consequence of this challenge is that most Linux distributions contain general tuning parameters to accommodate all users.

IBM® has embraced Linux, and it is recognized as an operating system suitable for enterprise-level applications running on IBM systems. Most enterprise applications are now available on Linux, including file and print servers, database servers, Web servers, and collaboration and mail servers.

With use of Linux in an enterprise-class server comes the need to monitor performance and, when necessary, tune the server to remove bottlenecks that affect users. This IBM Redpaper describes the methods you can use to tune Linux, tools that you can use to monitor and analyze server performance, and key tuning parameters for specific server applications. The purpose of this redpaper is to understand, analyze, and tune the Linux operating system to yield superior performance for any type of application you plan to run on these systems.

The tuning parameters, benchmark results, and monitoring tools used in our test environment were executed on Red Hat and Novell SUSE Linux kernel 2.6 systems running on IBM System x servers and IBM System z servers. However, the information in this redpaper should be helpful for all Linux hardware platforms. >

dkftpbench

http://www.kegel.com/

Check out the "c10k problem" page in particular, but the entire site has _lots_ of useful tuning info.

http://linuxperf.nl.linux.org/

Site organized by Rik Van Riel and a few other folks. Probabaly the best linux specific system tuning page.

http://www.citi.umich.edu/projects/citi-netscape/

Linux Scalibity Project at Umich.

NFS Performance Tunging

Info on tuning linux kernel NFS in particular, and linux network and disk io in general

http://home.att.net/~jageorge/performance.html

Linux Performance Tuning Checklist. Some useful content.

http://www.linux.com/tuneup/

Miscelaneous performace tuning tips at linux.com

http://www.psc.edu/networking/perf_tune.html#Linux

Summary of tcp tuning info

Some simple utilities that come in handy when doing performance tuning.

dkftpbench

Need to stress out an ftp server, or measure how many users it can support? dkftpbench can do it.

Want to write your own highly efficient networking software, but annoyed by having to support very different code for Linux, FreeBSD, and Solaris? libPoller can help.

dklimits

a simple util to check the actually number of file descriptors available, ephemeral ports available, and poll()-able sockets. Handy. Be warned that it can take a while to run if there are a large number of fd's available, as it will try to open that many files, and then unlinkt them.

This is part of the dkftpbench package.

fd-limit

a tiny util for determining the number of file descriptors available.

fd-limit.c

thread-limit

A util for determining the number of pthreads a system can use. This and fd-count are both from the system tuning page for Volano chat, a multithread java based chat server.

thread-limit.c